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Multi-Disciplinary General ePoster 
  AAPM ePoster Library
PO-GeP-M-1 : 2D to 3D Line Pattern Match (3DLM) Scheme in 6D for Marker Based Image Guided Radiation Therapy
H.Kuo*D.LovelockA.DamatoM.ZelefskyS.LinC.Della-Biancia
S.BerryM.Hunt
PO-GeP-M-2 : 3D Pelvic CT-MR Deformable Registration Using Unsupervised Cycle-Consistent FCN
Y.GuoX.WuZ.WangX.PeiX.Xu*
PO-GeP-M-3 : 4DCT Quality Assurance with Multi-Vendors Respiratory Signals Input
T.Lin*A.GaluzaJ.LiuC.Ma
PO-GeP-M-4 : 90Y-Microspheres Radioembolization for Selective Internal Radiation Therapy in NGHA, Saudi Arabia , Statistics and Dosimetry
N.SENHOU*S.Alshehri
PO-GeP-M-5 : A Comparison of Internal Target Volumes (ITVs) Between 4DCT Simulation Images and 4DCBCT Pre-Treatment Images Using a Respiratory Phantom at Two Different Simulated Respiratory Rates
S.Parker*C.WhiddonD.NelsonJ.Foster
PO-GeP-M-6 : A Comprehensive Deep Learning Model for the Tracking of Alzheimers Disease
A.Deatsch*M.NamíasR.Jeraj
PO-GeP-M-7 : A Comprehensive Evaluation of Deep Learning Design for Synthetic CT Generation
S.Olberg*J.ChunB.ChoiI.ParkH.KimJ.Kim
S.MuticO.GreenJ.Park
PO-GeP-M-8 : A Data-Driven Analytical Framework to Track and Improve Clinical Workflow in Radiation Oncology
R.Munbodh*K.LeonardT.RothM.SchwerJ.BrindleE.Klein
PO-GeP-M-9 : A Deep Learning Method for Prediction of 3D Dose Distribution in Clinical Case
S.Ahn*E.KimK.KimC.KimS.LeeY.Lim
H.KimD.ShinJ.Jeong
PO-GeP-M-10 : A Deep Learning-Based Interactive Software Tool to Assist Physicians Revising CTV Contours to Achieve Balanced Tumor Coverage and Organ Sparing
A.Balagopal*D.Nguyenm.mashayekhiM.LinA.GarantN.Desai
R.HannanY.WengX.GuS.Jiang
PO-GeP-M-11 : A Deep Neural Network Approach for Enhancing Signal-To-Noise Ratio of MV EPID Images
M.Ahmed*H.NourzadehJ.Siebers
PO-GeP-M-12 : A Deep Reinforcement Learning Based Neural Network for Beam Orientation Selection Problem in the Treatment Planning of the IMRT Prostate Cancer
A.Sadeghnejad Barkousaraie*G.BoharaS.JiangD.Nguyen
PO-GeP-M-13 : A Deep Transfer Learning-Based Radiomics Model for Prediction of Local Recurrence in Laryngeal Cancer
Y.Jia*X.QiJ.DuR.ChinE.McKenzieK.Sheng
PO-GeP-M-14 : A Feasibility Study On the Development of a Deep Learning-Based Whole Brain Irradiation Automated Dose Calculation Algorithm
A.Jaffe*J.Keller
PO-GeP-M-15 : A Framework for Iso-Toxic Adaptive Replanning Using Biophysical Models
P.Prior*X.ChenX.Li
PO-GeP-M-16 : A Framework to Evaluate Synthetic CTs Generated for First AI-Driven Online Adaptive Radiotherapy
A.Quinn*J.KipritidisD.JayamanneJ.Booth
PO-GeP-M-17 : A Hierarchical 3D U-Net for Brain Tumor Substructure Segmentation
J.YangR.WangY.Weng*L.ChenZ.Zhou
PO-GeP-M-18 : A Machine Learning Based Fully Automatic Magnification Calculation Method for Hip DR Photography
Y.Jia*H.WangX.JinH.DuW.ChenB.Yang
PO-GeP-M-19 : A Machine Learning Model for Brain V12Gy/V60% Prediction of LINAC-Based Single-Iso-Multiple-Targets (SIMT) Stereotactic Radiosurgery (SRS): A Longitudinal Study
X.Li*J.ZhangY.ShengK.LafataN.EclovY.Cui
W.GilesJ.AdamsonA.RodriguesZ.WangS.Yoo
F.YinQ.WuC.Wang
PO-GeP-M-20 : A Method Based On Deep Convolution Network for Predicting Three-Dimensional Dose Distribution in Small Datasets of IMRT Nasopharyngeal Carcinoma
F.Guo*L.Dingjie
PO-GeP-M-21 : A Method to Improve Organ Segmentation Between Medical Centers Using a Small Amount of Training Data
K.Men*J.ZhuX.ChenY.YangJ.ZhangJ.Yi
M.ChenJ.Dai
PO-GeP-M-23 : A Multi-Observer Study Investigating the Effectiveness of Prostatic MpMRI to Dose Escalate Corresponding Histologic Lesions Using High Dose Rate Brachytherapy
C.Smith*D.HooverK.SurryD.D'SouzaD.CoolZ.Kassam
M.Bastian-jordanJ.GomezM.MoussaJ.ChinS.Pautler
G.BaumanA.Ward
PO-GeP-M-24 : A Novel Coplanar Multi-Modality Tomographic Imaging for Image Guidance in Radiotherapy Using Hybrid Radiation Detector
H.Gao*Y.Xia
PO-GeP-M-25 : A Novel Cost Function in AIF Model Fitting for DCE-MRI Studies
R.He*K.WahidB.McDonaldY.DingA.MohamedB.Elgohari
K.HutchesonC.FullerS.Lai
PO-GeP-M-26 : A Novel Method for Correcting CBCT Intensity Values and FOV Truncation
S.Holler*C.GuyL.Padilla
PO-GeP-M-27 : A Novel Method for Dose-Of-The-Day Calculation for HN
S.Holler*C.GuyL.Padilla
PO-GeP-M-28 : A Novel Method to Automate the Optimization of Multileaf Collimator Transmission and Dosimetric Leaf Gap Parameters for Eclipse Treatment Planning System
D.DiCostanzo*A.Ayan
PO-GeP-M-29 : A Novel Methodology for Deriving Set-Up Margins Using Dose Accumulation and Bidirectional Local Distance
A.Frederick*S.QuirkS.WepplerM.Roumeliotis
PO-GeP-M-30 : A Novel Semi-Supervised Learning Method Using Soft-Label for Lung Segmentation On CT
J.Zhou*Z.YanY.ZhangN.Yue
PO-GeP-M-31 : A Novel Software Tool for the Standardization of Structures and Dose Constraints to Facilitate a More Efficient Clinical Workflow
M.Wagar*L.PadillaL.Yuan
PO-GeP-M-32 : A Novel, Rigid Phantom for Comprehensive End-To-End Verification of Adaptive Radiotherapy Systems
A.Dare*M.PriceA.Yock
PO-GeP-M-33 : A Patient-Specific Deep-Self-Supervised High-Resolution Method for CT Imaging
Y.LeiY.FuT.WangW.CurranT.LiuX.Yang*
PO-GeP-M-34 : A Patient-Specific Model for Collision Prediction Using An Azure Kinect
Z.Simpson*N.Sperling
PO-GeP-M-35 : A Patient-Specific Model for Tracking Lung Tumor During Radiotherapy Using Surrogate Signal
S.Fakhraei*D.SterlingE.EhlerP.Alaei
PO-GeP-M-36 : A Pilot Study for Using Non-Heating Volunteer Experiments as a Surrogate for In-Patient MR Thermometry Reproducibility During MR Hyperthermia
I.Ribeiro*S.CurtoM.FranckenaG.Van RhoonM.Paulides
PO-GeP-M-37 : A Practical Method to Automatically Delineate Gas Regions for MR-Guided Online Adaptive Radiotherapy of Abdominal Tumors
E.Ahunbay*X.Li
PO-GeP-M-38 : A Simple Statistical Method to Reduce the Number of Patient-Specific QA Measurements for MR-Linac Adaptive Fractions
A.Kim*M.RuschinC.MccannP.AuA.SinghA.Sahgal
B.Keller
PO-GeP-M-39 : A Study of Using Modulation Complexity Score as a Clinical Decision Aid for VMAT-Based Pancreas SBRT Treatment Planning
Y.Zlateva*X.LiF.YinQ.WuC.Wang
PO-GeP-M-40 : A Variable-OAR Volumetric Dose Prediction Model for Radiation Therapy Using Deep Learning
m.mashayekhi*I.TapiaA.Sadeghnejad BarkousaraieA.BalagopalX.ZhongS.Jiang
D.Nguyen
PO-GeP-M-42 : Abdominal Synthetic CT Reconstruction Using Intensity Projection Prior for MRI-Only Adaptive Radiotherapy
S.Olberg*J.ChunB.ChoiI.ParkH.KimT.Kim
J.KimO.GreenJ.Park
PO-GeP-M-43 : Accuracy of a Novel Facial Feature Point Algorithm for Head Motion Tracking Using Surface Guided Imaging to Remove the Mask in Head and Neck Radiotherapy
Y.Ben Bouchta*C.ChengK.MakhijaJ.SykesE.SteinerP.Keall
PO-GeP-M-44 : Accuracy of the 3D Reference Coordinate Definition with G-Frame for Gamma Knife ICON
L.Claps*D.MathewY.Watanabe
PO-GeP-M-45 : Accurate Tracking of Position and Dose During VMAT Based On VMAT-CT
X.Zhao*R.Zhang
PO-GeP-M-46 : Adaptive Treatment Replanning with a Commercial Field-In-Field Optimization Platform
C.Matrosic*K.Paradis (Younge)M.Matuszak
PO-GeP-M-47 : Advantages of Spectral Energy CT Data for Deep Learning Applications
A.Chatterjee*M.VallieresJ.SeuntjensR.Forghani
PO-GeP-M-49 : ALARA in a Flash - Radiation Shielding and Safety Implications Following Linac Conversion to An Electron FLASH-RT Unit
Y.Poirier*S.BeckerS.MossahebiN.LamichhaneA.Sawant
PO-GeP-M-50 : Alert System for Monitoring Changes in Patient Anatomy During Radiation Therapy of Head and Neck Cancer
B.Schaly*J.KempeV.VenkatesanS.MitchellJ.Chen
PO-GeP-M-51 : Alternative Methods to BMI for Obesity Related Setup Error Stratification of Abdominal Radiation Therapy Patients
R.Price*S.LloydG.NelsonB.Salter
PO-GeP-M-52 : An AI-Based Tumor Auto-Contouring Algorithm for Non-Invasive Intra-Fractional Tumor-Tracked Radiotherapy (nifteRT) On Linac-MR
J.Yun*E.YipZ.GabosN.UsmaniD.YeeK.Wachowicz
B.Fallone
PO-GeP-M-53 : An Automated Contouring Workflow for Increased Standardization and Efficiency
D.Hoffman*J.MeyersR.MangerD.HoopesI.Dragojevic
PO-GeP-M-54 : An Automatic Tumor Motion Determination Towards Daily ITV Margin Verification in Lung SBRT Using Markerless 4D-CBCT
T.Fuangrod*
PO-GeP-M-55 : An Automation Application to Analyze MLC Efficiency Using Real-Time Log Data for An Elekta-VersaHD Linear Accelerator
B.Kassahun
PO-GeP-M-56 : An IGRT Safety Check: Automated T12 Vertebra Detection in CT and CBCT
Y.Xie*G.SharpD.GiergaT.HongT.BortfeldK.Kang
PO-GeP-M-57 : An NLP-Based Collaborative Intelligence Tool to Support Precision Medicine
S.Dieterich*P.AroraS.Azghadi
PO-GeP-M-58 : An Optimized Training Module for Deep Learning-Based Auto-Segmentation
A.Amjad*W.XhangZ.ChenQ.ZhouT.PlautzL.Buchanan
X.Li
PO-GeP-M-59 : Analysis of Couch Shifts for Each Field for Proton Treatment Delivery of Head and Neck Cancer Patients: Towards Optimal Imaging Frequency
N.Biswal*D.RodriguesW.YaoS.Chen
PO-GeP-M-60 : Analysis of Patient Treatment Time for Adaptive Work Flows On the Elekta Unity
D.Dunkerley*S.YaddanapudiJ.SnyderD.HyerJ.St-Aubin
PO-GeP-M-61 : Analysis of Varian RPM Reproducibility During Deep Inspiration Breath Hold with AlignRT Monitoring
E.Wright*K.BotaS.KarnasS.Gaede
PO-GeP-M-62 : Anonymization of DICOM Files in HTML5 Based Web Browser for Radiation Therapy
P.RanaW.Sleeman*M.PoblacionJ.PaltaP.GhoshR.Kapoor
PO-GeP-M-63 : Application of Kilovoltage Cone-Beam CT Images in Extracting Radiomics Signature for Predicting Radiation-Induced Pneumonitis
Y.Huang*H.LiuR.YuY.PuY.Zhang
PO-GeP-M-64 : Application of Multiparametric MRI Strategically Acquired Gradient Echo (STAGE) Imaging for Radiotherapy Planning
E.Florez*J.StorrsR.HamidiA.Fatemi
PO-GeP-M-65 : ArcCHECK for Machine Commissioning and Patient Specific QA: Which Phantom Should Be Used?
Y.Tian*K.ZhangK.MenJ.Dai
PO-GeP-M-66 : Architecture, Implementation, and Performance of An Automatic and High-Throughput Treatment Planning Service: The Radiation Planning Assistant
L.Zhang*C.CardenasD.RheeC.NguyenA.OlanrewajuL.Court
PO-GeP-M-67 : Are Sub-Region Radiomic Features From Pre-Treatment FDG-PET-CT Biomarkers of Recurrence for Cervical Cancer?
I.Vergalasova*K.NieY.LiT.CuiB.LiuM.Sayan
M.ReyhanN.YueL.Hathout
PO-GeP-M-68 : Assessing the Dosimetric Links Between Organ-At-Risk Delineation Variability and Treatment Planning Variability
W.ChoiV.Leandro Alves*H.NourzadehE.AliottaJ.Siebers
PO-GeP-M-69 : Assessment of Bone Electron Density Effects On Dose Calculation and Optimization Accuracy for MRI-Only Treatment Planning for Cervical Carcinoma in 1.5 T MR-Linac
S.Ding*H.LiuY.LiB.WangB.LiuX.Qi
X.CaoX.HUANG
PO-GeP-M-70 : Assessment of CBCT-Based Dose Accumulation for Robustly Optimized Intensity-Modulated Proton Therapy Plans with Different Uncertainty Scenarios for Treatment of Prostate Cancer
Y.Xu*M.ButkusN.BrovoldA.KingT.DiwanjiA.Pollack
M.AbramowitzN.Dogan
PO-GeP-M-71 : Assessment of Intrafraction Motion Based On Intraprostatic Fiducials During VMAT Delivery
R.Tolakanahalli*S.Davis
PO-GeP-M-72 : Assessment of Need for MR Guidance in Adaptive RT
A.Sethi*E.OmariJ.IngramK.StoeckigtT.ThomasJ.Roeske
T.RefaatR.Wynn
PO-GeP-M-73 : Assessment of Ventilation-Perfusion (V/Q) Relationships with 68Ga V/Q PET/CT in Lung Cancer Patients
Z.Li*J.CallahanM.HofmanS.SivaT.Yamamoto
PO-GeP-M-74 : Auto-Determination of the Dextrous WorkSpace in Robotic Stereotactic Radiosurgery
O.Ogunmolu*X.LiuR.Wiersma
PO-GeP-M-75 : Automated Detection of Field Match Lines Between Supraclavicular and Tangent Irradiation Fields with Cherenkov Imaging
R.Hachadorian*C.FarwellM.JermynD.GladstoneL.JarvisB.Pogue
PO-GeP-M-76 : Automated Dose Accumulation for Online Adaptive Radiotherapy of Head and Neck Cancers
S.Gros*A.SanthanamD.ElliottJ.RoeskeR.PatelH.Kang
PO-GeP-M-77 : Automated Fiducial Tracking During VMAT Using Beam's-Eye-View Images
D.Ferguson*T.HarrisM.ShiM.JacobsonI.Valencia LozanoC.Williams
M.MyronakisP.HuberP.BaturinR.FueglistallerD.Morf
M.LehmannR.Berbeco
PO-GeP-M-78 : Automated Identification of DICOM-RT Structures Using Map Projections and Machine Learning
D.Cutright*T.WuA.RoyM.GopalakrishnanB.Mittal
PO-GeP-M-79 : Automatic Prostate Bed Target Segmentation On Daily Cone-Beam CT Image Using a Multi-Path 3D Dense-UNet
J.Fu*S.YoonA.KishanK.SinghraoZ.WangJ.Lewis
D.Ruan
PO-GeP-M-80 : Automatic Segmentation of Prostate Bed in Post-Prostatectomy CT Images
X.Xu*C.LianD.ShenJ.Lian
PO-GeP-M-81 : Automatic Segmentation of the Prostate On CT Images Using a Bi-Directional Convolutional LSTM U-Net with Novel Loss Function
X.Li*H.Bagher-EbadianC.LiE.MohamedF.SiddiquiB.Movsas
D.ZhuI.Chetty
PO-GeP-M-82 : Automatic Segmentation of the Trigeminal Nerve On MRI Using Deep Learning
K.Mulford*S.NdoroS.MoenY.WatanabeP.Van De Moortele
PO-GeP-M-83 : Automatic Tumor Segmentation in Digital Breast Tomosynthesis Using U-Net
A.Qasem*G.QinJ.WangZ.Zhou
PO-GeP-M-84 : Auto-Segmentation On Liver With U-Net And Pixel Deconvolutional U-Net
H.Yao*J.Chang
PO-GeP-M-85 : Benchmarking the Plan Review Performance of a Commercial Automation Tool and a Dynamic Checklist Technology Using TG-275 High Risk Failure Modes
J.Hoisak*R.MangerG.KimI.Dragojevic
PO-GeP-M-86 : Building Workflow Automation of Radiotherapy Platform Via Data Lake Approach
A.Li*L.CervinoM.HuntJ.MechalakosL.SantanamP.Zhang
J.Deasy
PO-GeP-M-87 : Calculation of Rotational Patient Positional Error Corrected Setup Margin in Frameless Stereotactic Radiosurgery and Radiotherapy
B.Sarkar*
PO-GeP-M-88 : Can Deep Learning Raise the Quality of Low-Dose CT Images Above That of Normal-Dose CT Images?
T.Bai*D.NguyenG.WangS.Jiang
PO-GeP-M-89 : Can Rectum Stability Issues Be Managed with IGRT in Prostate Radiotherapy?
M.Rosu-Bubulac*A.RiccoA.UrdanetaS.KimE.WeissJ.Palta
PO-GeP-M-90 : Can Surface-Guided Imaging Improve CT Image Quality?
R.Shaw*
PO-GeP-M-91 : CAPULET: A Novel Coded Aperture Prompt-Gamma Ultra-Light Imaging DETector
A.Vella*F.Van den Heuvel
PO-GeP-M-92 : CBCT-Based Adaptive Intensity Modulated Proton Radiotherapy
P.SabouriM.MundisS.AnderssonR.NilssonK.ErikssonS.Chen
S.Mossahebi*
PO-GeP-M-93 : Characterization of CT Hounsfield Units Uniformity of 3D-Printed Materials for Proton Therapy
E.Orton*C.EngelbertsR.OrbovicM.CrockerB.BasaricD.Sobczak
L.Zhao
PO-GeP-M-94 : Characterization of Patient Shifts From Ct Simulation to First Fraction to Improve Tumor Localization
S.Drehmel*C.FerreiraJ.LawrenceE.Ehler
PO-GeP-M-95 : Characterization of Spatial Properties of Dosimetric Data for Voxel-Based Analyses: Disentangling Contributions From Heart and Lung Substructures to Radiation Induced Toxicities
R.Mohan*S.MontiA.StanzioneT.XuM.DuranteG.Palma
Z.LiaoL.Cella
PO-GeP-M-96 : Characterizing the Excursion of Sensitive Cardiac Substructures Due to Respiration
C.Miller*E.MorrisA.GhanemM.PantelicE.WalkerC.Glide-Hurst
PO-GeP-M-97 : Classification of TI-RADS Class-4 Thyroid Nodules Based On Shape and Texture Features From Ultrasound Images
Q.Meng*T.LiuW.LuL.ShiJ.QiuW.Lu
PO-GeP-M-98 : Clinical Evaluation of Atlas and Deep Learning-Based Automatic Contouring of Multiple Organs at Risk and Clinical Target Volumes for Breast Cancer
M.Choi*B.ChoiS.ChungN.KimJ.ChunY.Kim
J.ChangJ.Kim
PO-GeP-M-99 : Clinical Evaluation of Deep Learning and Atlas Based Auto-Contouring of Bladder and Rectum for Prostate Radiotherapy
J.ZabelJ.ConwayA.GladwishJ.SkliarenkoG.DidiodatoL.Goorts-matthews
A.MichalakS.ReistetterJ.KingK.MalkoskeK.Nakonechny
M.TranN.McVicar*
PO-GeP-M-100 : Clinical Evaluation of Two Orthogonal Radiographic Imaging Systems for Image-Guided Stereotactic Radiosurgery
J.Duan*G.CuiF.Yin
PO-GeP-M-101 : Clinical Utility of External and Internal Surrogates for Respiratory Motion Management in Pancreas SBRT
A.Briggs*B.ZwanG.AngelisM.ShepherdA.KneeboneG.Hruby
J.Booth
PO-GeP-M-102 : Clinical Utility of Six Degrees of Freedom Patient Alignment in Non-Cranial Lesions
C.Njeh*H.SalmonV.Goutsouliak
PO-GeP-M-103 : Cluster Analysis On Longitudinal Data of Parkinson Disease Subjects
M.Salmanpour*A.SaberiG.HajianfarM.ShamsaeiH.Soltanian-zadehA.Rahmim
PO-GeP-M-104 : CNN Based Organ Segmentation On Chest Radiograph Using Synthetic X-Ray Image Reconstructed From MDCT
S.Kim*C.AhnC.HeoJ.Kim
PO-GeP-M-105 : Combining Images and Clinical Diagnostic Information to Improve Automatic Segmentation of Nasopharyngeal Carcinoma Tumors On MR Images
M.Cai*Q.YangY.GuoZ.ZhangJ.WangW.Hu
C.Hu
PO-GeP-M-106 : Comparing Delivered Dose Estimations with and Without Dose Recalculation for Head-And-Neck Adaptive Radiotherapy
Y.Hu*M.AristophanousL.CervinoA.CaringiN.AllgoodM.Hunt
PO-GeP-M-107 : Comparing Fiducial Movement with Tumor Movement Using 4D-CT for Cyberknife Treatment of Lung Cancer Patients to Identify Where Fiducials Should Be Placed
W.Belcher*J.JungA.Ju
PO-GeP-M-108 : Comparing the Stability of Deep Inspiration Breath-Holds Between ABC and VisionRT During Breast Irradiation
Z.IqbalR.McBethM.Joo*D.ParsonsA.RahimiN.Kim
A.SawantX.GuB.Zhao
PO-GeP-M-109 : Comparison of Setup Error of Chestwall and Heart Using AlignRT-Guided Vs. RPM-Guided DIBH in Left Breast Radiotherapy
W.Lu*G.LiL.HongE.GillespieE.YorkeS.Berry
J.MechalakosS.PowellX.Tang
PO-GeP-M-110 : Comparison of Artificial Intelligence Based Decision Support Tool for Head and Neck Treatment Planning
R.McBeth*D.NguyenH.WangR.Norouzi-Kandalanm.mashayekhiX.Zhong
Z.IqbalA.GodleyS.JiangM.Lin
PO-GeP-M-111 : Comparison of Cartesian 4 Fps Vs Radial 8 Fps On 0.35T MRI-Linac
H.Gach*T.KimB.LewisA.PriceA.MarkoD.Yang
S.MuticO.Green
PO-GeP-M-112 : Comparison of Contour-Based, Image-Based, and Contour-Image-Based Deformable Image Registration for Adaptive Re-Planning
K.Kainz*H.ZhongA.TaiE.AhunbayX.Li
PO-GeP-M-113 : Comparison of CT-MR Image Registrations of BrainLab Elements MBM SRS and Varian Eclipse
J.Li*Y.YuH.Liu
PO-GeP-M-114 : Comparison of Daily Plan Adaptation Strategies On a Cohort of Pancreatic Cancer Patients Treated with SBRT
A.Magallon-Baro*M.MilderP.GrantonJ.NuyttensM.Hoogeman
PO-GeP-M-115 : Comparison of Proton Stopping Power Measurements of Animal Tissues From Proton CT and X-Ray CT Systems
D.DeJongh*E.DeJonghV.RykalinM.PankuchB.KreydickJ.Welsh
R.SchulteN.KaronisC.OrdonezK.DuffinJ.Winans
G.CoutrakonC.Sarosiek
PO-GeP-M-116 : Comparison of Surface Imaging and 2DkV Imaging Vs. CBCT in Left Breast DIBH Radiotherapy
W.Lu*N.YamadaL.HongW.ChoiX.TangJ.Mechalakos
S.BerryP.RomesserO.CahlonS.PowellG.Li
PO-GeP-M-117 : Comparison of Yttrium-90 Dosimetry of Single Energy Window and Dual Energy Window SPECT/CT Imaging Protocols
L.Chen*
PO-GeP-M-118 : Completely Automatic Deformable Image Registration Pipeline Using Automatically Derived Segmentations and Deformation Vector Fields
E.McKenzie*N.TongR.NephY.JiaD.RuanK.Sheng
PO-GeP-M-119 : Compton Camera Event Classification Using Artificial Neural Networks
P.Maggi*C.BarajasG.KroizJ.BasalygaS.PetersonD.Mackin
R.PanthiS.BeddarM.GobbertJ.Polf
PO-GeP-M-120 : Cone-Beam CT Radiomics for Patients with Liver Tumors Treated by Stereotactic Body Radiation Therapy: A Pilot Study
P.Yang*J.ShanQ.ZhouL.XuZ.CaoT.Niu
M.HuangX.Sun
PO-GeP-M-121 : Construction of Computational Non-Human Primates Model for Radiation Dosimetry
T.Xie*
PO-GeP-M-122 : Continuous On-Beam Computor Tomographic Image Reconstruction at the Moment of Treatment by Amplitude/phase Scaling of Deformation Vector Fields
J.Jung*I.YeoJ.KimB.Yi
PO-GeP-M-123 : Convolutional Neural Network Learning From RT Dose Distribution and Images Improves Predicting Locoregional Recurrence for Head and Neck Cancer
A.Wu*Y.LiM.QiX.LuY.LiuL.Zhou
T.Song
PO-GeP-M-124 : Correlating Daily CBCT 3D Gamma Density with Daily Volumetric and Dosimetric Changes in Head and Neck Patients
M.Sharma*A.WitztumJ.PanJ.ChanT.SolbergE.Hirata
PO-GeP-M-125 : Creation of An Automated Hand-Crafted Radiomics Methodology and Assessment of Its Potential to Contribute to a Prospective Trial
E.Carver*J.SnyderD.BergmanM.ShahS.SiddiquiN.Wen
PO-GeP-M-126 : CT Image Parameter Estimation Using PCA-Based Deep Learning in Chronic Obstructive Pulmonary Disease
A.Moslemi*W.TanJ.BourbeauJ.HoggH.CoxsonM.Kirby
PO-GeP-M-127 : CT Vs. Fluoroscopy Guidance for Nusinersen Intrathecal Injection: Quantitative Evaluation of the Learning Process Effect On Patients Radiation Exposure
R.Al Helo*L.ZimmermannA.AzarN.BassD.JordanN.Azar
PO-GeP-M-128 : CT-Radiomics May Predict Cardiac Toxicity After Radiation Therapy for Localized Breast Cancer in Women
D.Toomeh*J.MeshmanL.WangD.KwonI.MihaylovC.Takita
PO-GeP-M-129 : Daily Dosimetric Evaluation of the Delivery of High Precision Breast Irradiation Using Synthetic CTs Derived From CBCT Images
H.Jung*C.GuyA.UrdanetaD.ArthurS.KimJ.Palta
M.Rosu-Bubulac
PO-GeP-M-130 : Dark Field Proton Radiography: A Proof of Principle
M.Freeman*J.AllisonE.AulwesP.MagnelindF.MariamJ.Medina
W.MeijerF.MerrillL.NeukirchT.SchurmanR.Sidebottom
Z.TangF.TrouwD.TupaJ.TyboM.Espy
PO-GeP-M-131 : Data Collection for Radiation Oncology Big Data Initiatives: An Integrated Clinical Workflow Based Solution
R.Kapoor*W.SleemanJ.Palta
PO-GeP-M-132 : Deconvolution of Ionization Chamber-Measured Small Field Profiles Using a Neural Network
A.Schönfeld*G.YanH.LooeB.Poppe
PO-GeP-M-133 : Deep Learning Applied to Ultrasound Catheter Localization for HDR Prostate Brachytherapy: Evaluation of An Initial Model
D.Liu*S.TuporN.LeongE.SadikovA.AmjadS.Zilles
PO-GeP-M-134 : Deep Learning Based Treatment Plan Evaluation
X.Zhong*D.NguyenR.McBethA.Balagopalm.mashayekhiM.Lin
S.Jiang
PO-GeP-M-135 : Deep Learning for 3D Automated Delineation of Primary Gross Tumor Volume for Nasopharyngeal Carcinoma by CT Combining Contrast-Enhanced CT
Z.Dai*X.WangH.JinC.CaiS.ZhaoY.Zhu
Y.Chen
PO-GeP-M-136 : Deep Learning Prediction of Radiotherapy Treatment Machine Parameters
L.Hibbard*
PO-GeP-M-137 : Deep Learning Segmentation of Cardiac Substructures in Breast Cancer Radiotherapy Patients
X.Jin*J.HilliardJ.DiseJ.KavanaughI.ZoberiM.Thomas
C.RobinsonG.Hugo
PO-GeP-M-138 : Deep Learning-Based Auto-Segmentation of OARs in Head and Neck CT Images
Z.Shen*A.GarsaS.SunN.BaiC.ZhangA.Shiu
E.ChangW.Yang
PO-GeP-M-139 : Deep Proton DoseNet: A Deep Neural Network for Proton Dose Distribution Image Super-Resolution
Y.Nomura*T.MatsuuraH.ShiratoS.ShimizuL.Xing
PO-GeP-M-140 : Deep-Learning Dose Prediction as First Step Toward Real-Time Adaptive Replanning
L.Buchanan*Z.ChenW.XhangQ.ZhouD.SchottX.Li
PO-GeP-M-141 : Deformable Image Registration of Diagnostical CT and Planning CT for Breast Conserving Radiotherapy
X.Xie*H.YanJ.Dai
PO-GeP-M-142 : Delay-Line Based Optical Reservoir Computing Towards Real-Time Respiratory Motion Prediction
Z.LiangC.ShiX.Tang*J.LiX.ShenZ.Huang
PO-GeP-M-143 : Derivation of Photon Cross Section Coefficients of Virtual Monoenergetic CT Images for Radiotherapy Treatment Planning
J.Harms*C.ChangS.CharyyevJ.ZhouX.YangL.Lin
PO-GeP-M-144 : Designing a Simple CNN Model in Terms of Size and Computational Complexity to Perform Classification Task On Medical Images
R.ImmanniG.Valdes*Y.Interian
PO-GeP-M-145 : Detectability of MR Suitable Prostate Fiducial Markers in An Anthropomorphic Phantom Utilizing the TrueBeam Advanced Imaging Package During VMAT Prostate Treatment
M.Klem*K.JonesJ.Turian
PO-GeP-M-146 : Detector Performance Effects On Compton Camera Data Quality
P.Maggi*S.PetersonR.PanthiD.MackinS.BeddarJ.Polf
PO-GeP-M-147 : Determination of Planning Target Volume Margin for Gastric Lymphoma Radiotherapy Using Daily Four-Dimensional Cone-Beam Computed Tomography
Y.Shimohigashi*Y.DoiY.KonoM.MaruyamaY.KaiR.Toya
PO-GeP-M-148 : Development and Evaluation of a Fast Patient Alignment Tool Using Megavoltage-Topogram On Helical TomoTherapy: A Pooled Analysis
X.Qi*F.ChuD.Low
PO-GeP-M-149 : Development and Validation of a Machine Learning Predictive Model of IMRT Patient-Specific Quality Assurance Approval Using Gamma-Radiomics
C.YalyJ.LizarP.SantosA.Colello BrunoG.VianiJ.Pavoni*
PO-GeP-M-150 : Development and Validation of a Web-Crawler-Based Medical Records Information Aggregation Tool
H.Liu*Y.HuangY.PuH.WuY.Zhang
PO-GeP-M-151 : Development of 4DCT-MR Based Numerical Lung Phantoms for 4D Radiotherapy and Imaging Investigations
A.Duetschler*M.KriegerD.WeberA.LomaxY.Zhang
PO-GeP-M-152 : Development of a Dose Accumulation Pipeline to Support MR-Guided Adaptive Radiation Therapy
D.Rusu*E.MorrisC.Glide-Hurst
PO-GeP-M-153 : Development of a No Action Level (NAL) Protocol for Physician Time Management During MRI Guided Online Standard Fractionation Adaptive Radiation Therapy for Head and Neck Cancer
S.Vedam*B.McDonaldJ.YangP.CastilloA.SobremonteB.Lee
N.HughesM.MohammadsaidJ.WangS.ChoiC.Fuller
PO-GeP-M-154 : Development of An Anthropomorphic Multimodal Abdominal 4D Phantom for MR-Guided Radiotherapy
A.Weidner*A.RunzG.Echner
PO-GeP-M-155 : Dice Coefficient of Auto Segmentation and Its Implication On Inverse Prostate SBRT Treatment Planning
C.Yan*B.GuoR.TendulkarP.Xia
PO-GeP-M-156 : Differentiating the Pathological Subtypes of Primary Lung Cancer for Patients with Brain Metastases Based On Radiomics Features From Brain CT Images
X.Jin*Z.JiC.Xie
PO-GeP-M-157 : Difficulty-Aware Meta-Learning for Rare Disease Diagnosis
X.Li*L.YuL.Xing
PO-GeP-M-158 : Diffusion Parameters of Fornix in Multiple Sclerosis Patients with Memory Disturbance
A.Mahjoub*A.OmidiM.NezamzadehS.RaminfardM.Moghadasi
PO-GeP-M-159 : Direct Dose Calculation On CBCTs for Various Treatment Sites in Adaptive Radiotherapy
C.Wessels*S.Scheib
PO-GeP-M-160 : Direct Tumor Visualization in 0.35T MRgRT for Tumor Motion Control in Free Breathing
T.Kim*B.LewisA.PriceT.MazurH.GachJ.Park
B.CaiE.WittlandL.HenkeH.KimS.Mutic
O.Green
PO-GeP-M-161 : Does Daily MRI-Guided Online Re-Planning in Prostate SBRT Improve Dosimetry Compared to Isocenter Shift Adaptation?
M.Ruschin*B.KellerJ.DetskyA.LoblawJ.StewartM.Campbell
A.KimK.WongM.DavidsonM.WronskiD.Vesprini
C.Mccann
PO-GeP-M-162 : Does the Choice of Deep Learning Architecture Matter? Experience From a Radiotherapy Case Study
S.Gay*A.JhingranB.AndersonL.ZhangD.RheeC.Nguyen
T.NethertonJ.YangK.BrockH.SimondsA.Klopp
B.BeadleK.KislingL.CourtC.Cardenas
PO-GeP-M-163 : Domain Classification and Analysis of National Institutes of Health Funded Medical Physics Research
M.Scarpelli*B.WhelanK.Farahani
PO-GeP-M-164 : Dose Deformation for Adaptive Planning Using Varian's SmartAdapt
J.Vickress*A.RangelH.Afsharpour
PO-GeP-M-165 : Dose Prediction and Customized Optimization Settings by Learning From Previous Cases: Application to SBRT Treatment Planning
E.Schreibmann*
PO-GeP-M-166 : Dose to Circulating Blood in VMAT TBI Using a Dynamic Whole Body Blood Model
B.Guo*
PO-GeP-M-167 : Dose Verification of Four-Dimensional Cone-Beam Computed Tomography for Target Localization of Planned and Unplanned Target Motion
C.Baley*S.StathakisP.MyersN.KirbyK.RasmussenN.Papanikolaou
D.Saenz
PO-GeP-M-168 : Dosimetric Analysis of Automated Treatment Planning for Whole Brain Radiotherapy with A Deep Learning Approach
E.Han*C.CardenasC.NguyenT.Brierej.LiD.Yeboa
C.WangL.CourtM.MartelZ.Wen
PO-GeP-M-169 : Dosimetric Analysis of OARnet Auto-Delineations for Head and Neck Organs-At-Risk
M.Soomro*H.NourzadehV.Leandro AlvesW.ChoiJ.Siebers
PO-GeP-M-170 : Dosimetric and Geometric Evaluation of Five Commercial Contour Propagation Tools for Online Adaptive Radiotherapy
D.Nash*S.JunejaA.McwilliamA.PalmerE.Vasquez Osorio
PO-GeP-M-171 : Dosimetric Comparison of CT Compatible Plastic Cones to Traditional Metal Cones for IntraOp Radiation Therapy
S.Jain*A.SteinmannJ.WoollardN.GuptaA.Ayan
PO-GeP-M-172 : Dosimetric Effects of a Novel Concept of Adaptive Radiotherapy for Prostate Cancer Patients
M.Splinter*T.BostelP.haeringC.LangN.Nicolay
PO-GeP-M-173 : Dosimetric Evaluation of Online Adaptive Planning for Patients with Glioblastoma Multiforme Cancer with MRI at Two Week Intervals
D.To*M.LiuI.XhaferllariD.LackP.ChinnaiyanD.Yan
PO-GeP-M-174 : Dosimetric Impact of Magnetic Resonance Imaging Distortion in Photon and Proton Treatment Plans
Y.Yan*J.YangF.PirlepesovY.DingJ.UhL.Zhao
T.MerchantJ.WangC.Hua
PO-GeP-M-175 : Dosimetric Planning Comparison for Left-Sided Breast Cancer Radiotherapy: 4DCT Vs Deep-Inspiration Breath-Hold
O.Chau*H.FakirM.LockR.DinniwellF.PereraA.Erickson
S.Gaede
PO-GeP-M-176 : Dosimetric Results for Magnetic Resonance Guided Radiotherapy Using Hybrid Magnetic Resonance/Computed Tomography Compatible Phantom
M.Kim*S.LeeB.ChoeT.Suh
PO-GeP-M-177 : Dosimetric Variation Between Manual Contouring and Auto-Segmentation for Normal Structures in Intensity Modulated Radiotherapy
C.Alekchander*V.KaliyaperumalS.ChawlaA.AgarwalS.GoelA.Sharma
PO-GeP-M-178 : Dynamic HU Mapping and Deformable Image Registration Algorithm for Adaptive Treatment Planning and Dose Calculation Using Neural Network
S.John Edward Selvin*T.SantoshM.Kather HussainP.Ravindran
PO-GeP-M-179 : Effect of Field Number and Beam Angle On ERE for Lung Cancers Radiotherapy Planning in 1.5 T MR-Linac
S.Ding*H.LiuB.WangY.LiY.XIAX.HUANG
PO-GeP-M-180 : Effect of Using Harmonized Radiomic Features On Predicting Volume of Radiographic Changes Following Stereotactic Body Radiotherapy in Lung
R.Mahon*M.GhitaG.HugoN.KalmanN.MukhopadhyayE.Weiss
PO-GeP-M-181 : Effectiveness of Simple Data Imputation for Missing Feature Values in Binary Classification
A.Chatterjee*H.WoodruffM.LobbesY.Van WijkM.BeuqueJ.Seuntjens
P.Lambin
PO-GeP-M-182 : Efficiency of Integrated Real-Time Monitored Liver SBRT with Deep-Expiration-Breath-Hold
S.Shen*R.JacobC.SchneiderR.PoppleX.WuJ.Fiveash
PO-GeP-M-183 : Efficient Acquisition of MR-Linac Commissioning Data Using Cherenkov Projection Imaging
D.Alexander*R.ZhangP.BruzaB.PogueD.Gladstone
PO-GeP-M-184 : Enabling Jaw Tracking in Monitoring of Prostate Motion Using On Board MVKV Imaging System
L.Happersett*A.DamatoP.WangP.Zhang
PO-GeP-M-186 : End-To-End Testing of Adaptive Radiotherapy in the Elekta MR-Linac Utilising 3d Printed Phantoms
A.Axford*N.DikaiosC.ClarkD.RobertsP.Evans
PO-GeP-M-187 : Establishing a Routine Clinical Dose Verification Workflow Utilizing CBCT Imaging and Log Files
G.Kuzmin*P.XiaP.Qi
PO-GeP-M-188 : Establishment and Validation of a Multi-Omics Nomogram to Predict Lymph Node Metastasis of Esophageal Squamous Cell Carcinoma
Z.LiB.Li*
PO-GeP-M-189 : Estimation of Radiation Dose to Korean Population by Cardiovascular SPECT-CT Examinations
Y.YunH.NamW.KimK.Kim*
PO-GeP-M-191 : Evaluating Daily Cone Beam CT Gamma Index as a Parameter for Decision Making in Adaptive Radiation Therapy Programs
M.Bakhtiari*
PO-GeP-M-192 : Evaluating ICBCT Image Quality at Halcyon Linac for Patient Set Up Verification
M.Gei*J.VisakD.Pokhrel
PO-GeP-M-193 : Evaluating the Accuracy of Atlas-Based Auto-Segmentation for Pediatric Craniospinal Irradiation
S.Al-ward*O.AtesM.GargoneT.MerchantL.Zhao
PO-GeP-M-194 : Evaluating the Clinical Utility of Cherenkov Imaging in Radiotherapy
R.HachadorianD.AlexanderI.TendlerM.JermynB.Pogue*L.Jarvis
PO-GeP-M-195 : Evaluating the Efficacy of Regression Models in Radiomics: A Study with NSCLC Patients
H.Choi*
PO-GeP-M-196 : Evaluating the Performance of a Generative Adversarial Network-Based (GAN-Based) Architecture for Automatic Detection of Fiducial Markers in Prostate MRI-Only Radiotherapy Images
K.Singhrao*J.FuD.RuanA.MikaeilianN.ParikhA.Kishan
J.Lewis
PO-GeP-M-197 : Evaluation of a Novel Automated Treatment Planning Tool for Cervical Cancer in IMRT
J.Guo*J.ZhouL.ChenJ.NiY.XuG.Gan
W.GonC.MaY.LiW.ZhanX.Xu
S.Qin
PO-GeP-M-198 : Evaluation of An Artificial Intelligence (AI) Based Auto Contouring Workflow Box for Head and Neck Radiotherapy
L.Zhuang*M.PankuchE.BowersM.Posner
PO-GeP-M-199 : Evaluation of Deep Learning-Based Auto-Segmentation of Target Volume and Normal Organs in Breast Cancer Patients
S.Chung*J.ChangY.ChangB.ChoiJ.ChunJ.Kim
Y.Kim
PO-GeP-M-200 : Evaluation of Intrafractional Motion in Spine Stereotactic Body Radiotherapy
M.Kanda*Y.NakajimaK.ItoY.SudaH.OgawaK.Abe
K.Karasawa
PO-GeP-M-201 : Evaluation of Liver Motion in Real Time Using Diaphragm Tracking Versus Tracking Implanted Gold Markers for Stereotactic Ablative Radiation Therapy (SAbR)
N.Hassan Rezaeian*
PO-GeP-M-202 : Evaluation of Machine Learning Algorithms for Treatment Planning Parameter Calculation
J.Chow*R.JiangF.Ng
PO-GeP-M-203 : Evaluation of Markers for Catheter Detection in MRI-Guided Gynecological Brachytherapy
E.Kaza*R.CormackI.Buzurovic
PO-GeP-M-204 : Evaluation of MRI Radiomics Feature Robustness Using a Virtual Radiomics Phantom
C.Ma*X.WangK.QingN.YueK.Nie
PO-GeP-M-205 : Evaluation of Nanoparticle Uptake by Cervical and Liver Cancer Cell Lines for Enhanced Radiation Therapy
S.David*T.GrayD.PatelJ.ValesquezN.BassiriK.Mayer
N.Kirby
PO-GeP-M-206 : Evaluation of Real-Time Cine Imaging During MLC and Gantry Motion for MR-Guided Radiation Therapy
J.Kielbasa*S.MeeksP.KellyT.WilloughbyO.ZeidanA.Shah
PO-GeP-M-207 : Evaluation of Simple MR-Based Online Adaptive Radiotherapy for Prostate Cancer
I.Xhaferllari*D.LackR.LevitinD.ToM.LiuJ.Liang
D.KraussD.Yan
PO-GeP-M-208 : Evaluation of Surface Registration Accuracy for Patient Positioning in Head and Neck Radiotherapy Using Normal Distribution Transform Algorithm
S.Fakhraei*C.WilkeP.Alaei
PO-GeP-M-209 : Evaluation of Synthetic CT Generation Technique Using An Anthropomorphic Multi-Modality (CT/MRI) Pelvic Phantom for MRgRT
H.Jin*S.LeeH.AnJ.ParkC.ChoiE.Chie
H.KimH.KimJ.Kim
PO-GeP-M-210 : Evaluation of T2-Weighted MRI Pulse Sequences for Visualization and Sparing of Urethra with MR-Guided Radiation Therapy (MRgRT) On-Board MRI
J.Pham*R.SavjaniY.GaoM.CaoP.HuD.Low
M.SteinbergA.KishanY.Yang
PO-GeP-M-211 : Evaluation of the Accuracy of Deformable Image Registration On the TomoTherapy Treatment Planning System
Y.Nakajima*R.SuganamiS.HashimotoH.OgawaN.KadoyaK.Karasawa
PO-GeP-M-212 : Evaluation of the Direct Density Algorithm for Energy-Independent Radiotherapy Planning
A.Shutler*A.SarkarG.GroussetJ.ShahF.Mourtada
PO-GeP-M-213 : Evaluation of the Protective Effect of Nano-Composites Reinforced with Cerium-Oxide Nanoparticles Against Diagnostic X-Ray
N.Riyahi-Alam*s.salimiN.Riyahi AlamR.ZohdiaghdamM.Mahmoudian
PO-GeP-M-214 : Evaluation of the Relationship Between Positioning Accuracy and Scanning Volume Using Optical Surface Scanning System and Surface Image Features
H.Kojima*A.TakemuraS.UedaK.NotoH.YokoyamaH.Adachi
S.Takamatsu
PO-GeP-M-215 : Evaluation of the Stability of Radiomics Features Using 4D-CT and Across Radiomics Platforms for Lung and Liver Tumors
X.Wang*C.Mah.wangY.ZhangN.YueK.Nie
PO-GeP-M-216 : Expanded Visual Guidance of Breath-Hold for CBCT-Guided Online Adaptive Radiotherapy (ART) in a Closed-Bore Configuration
T.KimJ.Shin*J.KimE.BarberiL.HenkeS.Mutic
B.Cai
PO-GeP-M-217 : Expanding Global Radiotherapy Access by Adopting Hypofractionated Radiotherapy and Combination Immunotherapy for Breast and Prostate Cancer
W.Swanson*O.IraborJ.WirtzS.Yasmin-KarimW.Ngwa
PO-GeP-M-218 : Feasibility of An Assisted Chart Review for Assessing the Development of Radiation Pneumonitis
J.Mckenzie*J.WuH.ShenS.RajapaksheR.RajapaksheA.Lin
PO-GeP-M-219 : Feasibility of Direct Proton Dose Calculation On CBCT Scans in Esophageal Cancer
G.Defraene*M.ThomasR.De RooverS.MichielsT.DepuydtE.Sterpin
K.Haustermans
PO-GeP-M-220 : Feasibility of Knowledge-Based Planning to Improve Online Adaptive Stereotactic Body Radiation Therapy for Hepatocellular Carcinoma
K.Dess*J.DowK.Paradis (Younge)J.BurmeisterM.Matuszak
PO-GeP-M-221 : Feasibility of MRI-Only Treatment Planning for Stereotactic Body Radiation Therapy (SBRT) for Prostate Cancer
R.Nosrati*W.LamM.PaudelA.Pejovic-MilicG.MortonG.Stanisz
PO-GeP-M-222 : Feasibility of Pseudo 4pi Approach for Stereotactic Radiosurgery On a Linear Accelerator with On-Board MRI
E.Omari*I.Rusu
PO-GeP-M-224 : Feasibility of Surface Tracking During Framed Stereotactic Radiosurgery
A.Paxton*V.SarkarH.ZhaoC.DialB.Salter
PO-GeP-M-225 : Feasibility of Using Surface Guided Deep Inspiration Breath Hold (DIBH) in Conjunction with CBCT for Target Localization for Radiation Therapy
H.Zhao*A.PaxtonV.SarkarY.HuangF.SuG.Stinnett
P.Rassiah-SzegediM.SzegediR.PriceX.LiC.Dial
J.KunzG.NelsonB.Salter
PO-GeP-M-226 : Feasibility Study of a Curved Flexible Probe for Abdominal Imaging During Radiation Therapy
J.Zhou*X.HuangH.EndouK.SasakiH.Hooshangnejad D.Han
K.Ding
PO-GeP-M-227 : Four-Dimensional Cone-Beam CT Imaging Using Displacement Vector Fields Extracted From Deformable Image Registration: Phantom Study
N.Alsbou*S.AhmadI.Ali
PO-GeP-M-228 : Functional Programming and Immutable Data in Treatment Planning Systems
N.Depauw*T.MaddenH.Kooy
PO-GeP-M-229 : Gadolinium Neutron Capture Agent for Charged Particle Radiotherapy
K.Van Delinder*R.KhanJ.Grafe
PO-GeP-M-230 : Gadolinium Neutron Capture Therapy Using FDA-Approved MRI Contrast Agents
W.Swanson*S.Yasmin-KarimV.AinsworthN.BihR.MuellerE.Sajo
W.NgwaM.Jandel
PO-GeP-M-231 : Generalizability Issue of Deep Learning Models in Medicine and Its Potential Solutions: Illustrated with CBCT to CT Image Conversion
X.Liang*D.NguyenS.Jiang
PO-GeP-M-232 : Generating Synthetic CT From Daily Cone Beam CT Using Machine Learning Models
S.YoganathanS.Paloor*R.HammoudN.Hammadi
PO-GeP-M-233 : Generation of Pseudo MR From CT for Soft-Tissue Sarcoma Using SRCycle GAN
X.Meng*C.WangX.WuX.XuX.XuX.Pei
PO-GeP-M-234 : GTV Autosegmentation for Palliative Head and Neck Radiotherapy
S.Gay*C.CardenasC.NguyenT.NethertonA.AggarwalK.Naidoo
H.SimondsB.BeadleL.Court
PO-GeP-M-235 : Head Neck Cancer Locoregional Recurrence Prediction Using Delta-Radiomics Feature
K.Wang*Z.ZhouL.ChenR.WangD.SherJ.Wang
PO-GeP-M-236 : High Resolution Spectroscopic MRI and Scripting: Towards Automated Planning for a Multi-Center Clinical Trial
E.SchreibmannK.Ramesh*H.ShuH.Shim
PO-GeP-M-237 : Higher Ventilation Induced Radiation Pneumonitis for Non-Small Cell Lung Cancer Patients
T.Lin*S.KumarA.DayalC.Ma
PO-GeP-M-238 : How Low Can You Go? A CBCT Dose Reduction Study
A.Olch*P.Alaei
PO-GeP-M-239 : Identifying Robust Radiomic Features Extracted From Images Generated by 0.35T MR-Linac
R.Ericsson-szecsenyi*G.ZhangG.RedlerK.LatifiV.FeygelmanM.Tomaszewski
E.Moros
PO-GeP-M-240 : Impact of Changes in Body Shapes On Radiation Therapy Dose Distribution After Uterine Cervical Cancer Surgery
M.Sasaki*H.IkushimaK.KitagawaY.KanoM.TominagaH.Honda
W.SugimotoM.Oita
PO-GeP-M-241 : Impact of Deep Learning Based Image Quality Augmentation On CBCT Based Radiomics Analysis
M.Huang*Z.ZhangJ.LeeZ.JiangT.NiuF.Yin
L.Ren
PO-GeP-M-242 : Impact of Gantry, MLC, and Patient Table Power On An MRgRT System
B.Lewis*B.GuR.KlettR.LoteyO.GreenT.Kim
PO-GeP-M-243 : Impact of ICBCT Reconstruction On Cone Beam Acquisitions
G.Stinnett*G.NelsonR.PriceH.ZhaoA.PaxtonV.Sarkar
B.Salter
PO-GeP-M-244 : Impact of Image Reconstruction Kernel On CT Number to Proton Stopping Power Calibration
M.Chacko*H.GrewalS.RanaD.WuJ.Sonnad
PO-GeP-M-245 : Impact of Imaging Frequency On the Accuracy of Patient Treatment Dose: An Evaluation Based On Halcyon MVCBCT
H.Wang*Q.HuY.HuangY.Zhang
PO-GeP-M-246 : Impact of Partial Volume Effect From Air in Pulmonary 18F-FDG PET as An Imaging Biomarker for Pulmonary Toxicity After Radiotherapy
L.Sensoy*M.DalyT.Yamamoto
PO-GeP-M-247 : Impact of Resistance On Treatment Failure in Metastatic Prostate Cancer Patients
M.Turk*D.ValentinuzziA.RothR.Jeraj
PO-GeP-M-248 : Impact of Respiratory Motion Management with Patient Biofeedback On Diffusion Weighted Imaging of Liver Cancer Patients Pre- and Post-SBRT
B.LewisS.KimT.Kim*
PO-GeP-M-249 : Implantable Cardioverter Defibrillator Lead Tip as a Surrogate Fiducial for Non-Invasive Cardiac Radioablation in the Treatment of Ventricular Tachycardia
P.Samson*D.AnandS.GodduM.PrusatorD.YangN.Knutson
J.ParkP.CuculichC.RobinsonG.Hugo
PO-GeP-M-250 : Implementation of Intelligent Dynamic Checklists to Improve Treatment Planning and Physics Plan Review
J.Hoisak*R.MangerI.Dragojevic
PO-GeP-M-251 : Implications of Cervix-Influencing Organs Variation During Online Adapted Radiation Treatments
M.Ahmed*A.YockN.NewmanD.Ayala-peacockA.ChakravarthyM.Price
PO-GeP-M-252 : Improved Auto-Segmentation for CT Male Pelvis: Comparison of Deep Learning to Traditional Atlas Segmentation Methods
C.Halley*H.WanA.KruzerD.PittockD.DarkowM.Butler
N.ColeM.BendingP.JacobsA.Nelson
PO-GeP-M-253 : Improvement of Real-Time Motion Tracking with Daily Optimized Registration of Cine MRI On MR-Linac
T.Keiper*A.TaiX.ChenE.PaulsonF.LathuiliereS.Beriault
F.HebertD.CooperM.LachaineX.Li
PO-GeP-M-254 : Improving Accuracy of Predicted Lung Dosimetry in 90Y-Microsphere Radioembolization with 99mTc-MAA Planar Scintigraphy
B.Lopez*A.MahvashJ.LongM.LamS.Kappadath
PO-GeP-M-255 : Improving Automated OAR Segmentation for Gynecological Patients with Data From Prostate Cancer Patients
Y.Yuan*Y.NaM.CHADHAY.Lo
PO-GeP-M-256 : Increased DQE Through Use of Light Field Cameras and Thick Scintillators in Megavoltage Imaging
B.Preusser*E.PearsonP.La RiviereR.Wiersma
PO-GeP-M-257 : Independent Feature Selection in Radiomics Cross-Validation Is Essential to Estimate the True Model Performance
J.Du*X.QiR.ChinK.Sheng
PO-GeP-M-258 : Individualized Prediction of Local Recurrence After Radical Surgery for Esophageal Squamous Cell Carcinoma: Development and Validation of Radiomics Nomogram
Z.LiB.Li*
PO-GeP-M-259 : Individuals in the Prediabetes Stage Exhibit Reduced Hippocampus and Amygdala Subregion Volumes
D.CuiW.CaoQ.JiaoJ.QiuY.Guo*
PO-GeP-M-260 : Influence of Respiratory Motion On Target Dose Verification in IMRT for Lung Cancer Radiotherapy
H.Chen*
PO-GeP-M-261 : Initial Experience in MRI-Based Brain Metastases Detection Using Deep Learning
J.Teruel*K.BernsteinP.GalavisK.SpuhlerJ.SilvermanD.Kondziolka
K.Osterman
PO-GeP-M-262 : Initial Investigation of Dose Calculation On Intra-Irradiation Cone-Beam CT Images
H.Iramina*M.NakamuraT.Mizowaki
PO-GeP-M-263 : Interactive Contouring Through Contextual Deep Learning
M.Trimpl*D.BoukerrouiE.StrideK.VallisM.Gooding
PO-GeP-M-264 : Intra-Fraction Correction for Frameless Stereotactic Treatment to Trigeminal Neuralgia
Y.Huang*B.ZhaoN.WenI.ChettyS.Siddiqui
PO-GeP-M-265 : Intrafraction Imaging: Simultaneous KV Image Acquisition During MV Treatment Delivery to Monitor Patient and Target Motion
L.SensoyA.HernandezD.HernandezD.CamposY.RongS.Benedict*
PO-GeP-M-266 : Intrafraction Motion Monitoring to Determine PTV Margins in Early Stage Breast Cancer Patients Receiving Neoadjuvant Partial Breast SABR
M.Mouawad*O.LaileyM.O'neilP.PoulsenP.KeallH.Biernaski
M.BrackstoneM.LockB.YaremkoS.KarnasA.Kornecki
O.ShmuilovichG.MuscedereI.NachumF.PratoR.Thompson
N.GelmanS.Gaede
PO-GeP-M-267 : Intra-Fraction Motion Pattern Assessed Using Principal Component Analysis for Frameless Stereotactic Radiosurgery
T.Cui*X.WangI.VergalasovaY.ZhangN.YueK.Nie
PO-GeP-M-268 : Introducing MRI Guidance Into Skin Brachytherapy
T.Harris*D.O'FarrellI.BuzurovicS.FriesenP.Devlin
PO-GeP-M-269 : Investigating Internal-External Motion Correlation Using Fast Helical Free-Breathing CT and Simultaneous Respiratory Bellows
M.Lauria*R.NavaratnaD.O'ConnellP.LeeD.Low
PO-GeP-M-270 : Investigating Stability and Reproducibility of Deep Inspiration Breath Hold for Liver Stereotactic Body Radiotherapy
D.Parsons*Z.IqbalN.SanfordR.ReynoldsS.StojadinovicT.Aguilera
T.ChiuW.LuM.FolkertX.Gu
PO-GeP-M-271 : Investigating the Impact of Secondaries Neutrons On Compton Camera for Medical Imaging
S.Peterson*P.MaggiR.PanthiD.MackinS.BeddarJ.Polf
PO-GeP-M-272 : Investigation of Carbon Ion Radiation Therapy Range Uncertainties Via Prompt Gamma Rays Monitoring
P.Galanakou*T.LeventouriW.Muhammad
PO-GeP-M-273 : Investigation of Partial-Arc CBCT Protocols for Imaging Extremities
P.Watson*E.Poon
PO-GeP-M-274 : Investigation of Radiomics Modelling Discriminability of Tumor Subvolumes in Predicting Distant Metastasis After Radiotherapy in Advanced Nasopharyngeal Carcinoma
T.Yu*X.TengS.LamJ.ZhangF.LeeK.Au
W.YipJ.Cai
PO-GeP-M-275 : In-Vivo Measurement of Potassium in Mice Using Neutron Activation Analysis
S.Tabbassum*H.Nie
PO-GeP-M-276 : Is a Tattooless Setup as Accurate as Tattoo Based Setup for Radiation Treatment?
L.Huang*E.SuarezF.GretahR.SzwedowskiM.NaikJ.Greskovich
Z.WangT.Djemil
PO-GeP-M-277 : Knowledge Discovery From Existing Radiotherapy Patient Databases Based On Unsupervised Learning Methodology
D.Tewatia*R.Tolakanahalli
PO-GeP-M-278 : KV-Energy Fan-Beam CT Imaging Performance of a Novel Biology-Guided Radiotherapy (BgRT) Machine
Z.Sun*H.GaoS.XuJ.YeC.HuntzingerS.Shirvani
S.MazinT.Laurence
PO-GeP-M-279 : Large-Scale Multi-Patient Radiotherapy Data Mining Framework with Commercial Plan Reporting Tool
M.Moazzezi*K.MooreK.SysockX.RayK.Kisling
PO-GeP-M-280 : Learned Delineation of Gross Tumor Volume Incorporating Intra-Observer Variability
T.Marin*C.MaR.LahoudF.XingP.WohlfahrtM.Moteabbed
J.WooX.MaK.GroggY.ChenG.El Fakhri
PO-GeP-M-281 : Learning Clinical Expertise Using Deep 3D Networks: An Automated Clinical Target Volume (CTV) Delineation for Non-Small Cell Lung Cancer (NSCLC) Patients
Y.Xie*K.KangY.WangF.KeaneM.KhandekarH.Willers
T.Bortfeld
PO-GeP-M-282 : Lesion Insertion Tool to Assess PET-MR Attenuation Correction Methods: Matched Contralateral Uptake Lesion Insertions in Pelvis PET-MR Data
Y.Natsuaki*A.LeynesK.WangerinM.HamdiA.RajagopalR.Laforest
P.LarsonT.HopeS.St. James
PO-GeP-M-283 : Leveraging Incomplete Multimodal Biomarkers for Cancer Treatment Outcome Prediction
M.Saad*S.HeW.ThorstadH.GayX.WuY.Zhao
S.RuanX.WangH.Li
PO-GeP-M-284 : Limitations of Dose-Volume Metrics in Deformable Registration: Implications for Organs-At-Risk in Sharp Dose Gradients
H.Keller*A.MehlischP.ManserM.FixK.HanT.Tadic
PO-GeP-M-285 : Long Term Stability of KV Cone Beam CT (CBCT) Image Quality Assurance for IBA Proteus PLUS Proton Therapy System
J.George*J.BennounaS.RanaJ.YuL.CoutinhoM.Hobson
L.PerlesS.GeorgeA.Gutierrez
PO-GeP-M-286 : Longitudinal Analysis of Parotid Gland Anatomical Changes During Radiotherapy by Recurrent Convolutional Neural Networks
D.Lee*P.ZhangS.AlamJ.JiangS.NadeemA.Caringi
N.AllgoodY.Hu
PO-GeP-M-287 : Longitudinal Change of T2 Map During MR-Guided SBRT for Pancreatic Cancer
X.Chen*H.NasiefE.PaulsonE.AhunbayP.PriorW.Hall
B.EricksonX.Li
PO-GeP-M-288 : Low Cost MRI Geometric Distortion Phantom Made From Paintballs and Pourable Foam
B.Rasmussen*X.DuR.Milano
PO-GeP-M-289 : Machine Learning Models in Predicting Pathological Complete Response After Neo-Adjuvant Chemoradiation for Locally Advanced Rectal Cancer
Y.Zhang*M.diMayorcaL.ShiX.SunS.JabbourY.Zhang
N.YueK.Nie
PO-GeP-M-290 : Machine Learning of MAA SPECT Lung Perfusion Radiomics to Predict Radiation and Immune-Mediated Pneumonitis in Patients with Locally Advanced Non-Small Cell Lung Cancer
H.Thomas TJ.ZengP.KinahanR.MiyaokaH.VesselleR.Rengan
S.Bowen*
PO-GeP-M-291 : Managing Cardiac Motion in Ventricular Tachycardia: Use of Deformable Registration to Determine Shifts Magnitude
E.SchreibmannD.Qian*M.LloydK.Higgins
PO-GeP-M-292 : Markerless Motion Tracking with Treatment Beam Imaging in Spine SBRT Treatment: A Phantom Study
T.Li*F.LiW.CaiP.ZhangM.HuntX.Li
PO-GeP-M-293 : Mean Energy, Dose, and Sources of Out-Of-Field Radiation in Flattening-Filter and Flattening-Filter-Free 6 MV Beams, Measured with TL Dosimeters
V.Lopez-guadalupeA.Rodriguez LagunaM.Poitevin-ChaconE.Lopez-PinedaM.Brandan*
PO-GeP-M-294 : Metrological Analyses On Mismatches in Voxel-To-Voxel Image Comparisons
A.Chu*Q.PengM.GargW.Tomé
PO-GeP-M-296 : Modeling of Human Body Tissue Compositions for Monte Carlo Algorithm of Proton Therapy Dose Computation with the Single Energy Computed Tomography Calibration Curve
M.Ghasemi Ghonchehnazi*G.EvansC.Shang
PO-GeP-M-297 : Monte Carlo Calculation of Radiation Exposure to Astronauts Using 4D Extended Cardiac-Torso (XCAT) Phantoms
J.Houri*P.SegarsA.Kapadia
PO-GeP-M-298 : Monte Carlo Simulation Framework for Scatter Correction of KV and MV CBCT Images of the Varian TrueBeam STx Linac
B.Zapien Campos*A.Martinez DavalosH.AlvaM.Rodriguez-Villafuert
PO-GeP-M-299 : Motion of Electronic Portal Imaging Devices and Clinical Implications for Multi-Leaf Collimator Quality Assurance
J.Nasehi Tehrani*C.KalavaguntaG.LasioS.ChenB.Yi
PO-GeP-M-300 : MRI Radiomic Analysis for Survival Prediction in Diffuse Midline Glioma
L.TamM.HanD.YeciesK.YeomS.Mattonen*
PO-GeP-M-301 : MRI Radiomics for Predicting a Poor Prognosis in Patients with GBM
P.BorgesJ.LizarG.VianiJ.Pavoni*
PO-GeP-M-302 : MRI Visualization of Applicators for Skin HDR Brachytherapy
E.Kaza*R.CormackP.DevlinI.Buzurovic
PO-GeP-M-303 : MRI-Only Brain Radiotherapy: Assessing the Dosimetric Accuracy of Synthetic CT Images Generated Using Cycle GAN
S.Kazemifar*A.Barragan MonteroT.BaiR.TimmermanY.ParkM.Lin
S.JiangA.Owrangi
PO-GeP-M-304 : Multi-Modality Brain Tumor Segmentation Using a Modified Cascaded 3D U-Net for Imbalanced Classes
W.Kong*D.LiY.Yang
PO-GeP-M-305 : Multi-Modality Imaging of Treatment Response After Stage III Non-Small Cell Lung Cancer Radiotherapy
H.Young*O.ChauK.BurgersT.LeeF.PratoG.Wisenberg
S.Gaede
PO-GeP-M-306 : Multi-Modality Imaging Reduces Intra-Observer Variability in GTV Delineation of Sarcomas and Chordomas
R.Lahoud*T.MarinM.MoteabbedF.XingX.MaP.Wohlfahrt
N.ShusharinaJ.WooK.GroggY.ChenC.Ma
G.El Fakhri
PO-GeP-M-307 : Multiple Resolution Residual Network for Automatic Glioblastoma Segmentation in MRI
H.Um*J.JiangF.TixierR.YoungH.Veeraraghavan
PO-GeP-M-308 : Multiple Resolution Residual Network for Automatic Thoracic Organs-At-Risk Segmentation in CT
H.Um*J.JiangM.ThorA.RimnerL.LuoJ.Deasy
H.Veeraraghavan
PO-GeP-M-309 : Multi-Section CT Radiomics Can Accurately Predict Postoperative Recurrence in Esophageal Squamous Cell Cancer Patients Achieving PCR After Neoadjuvant Chemoradiotherapy Followed by Surgery
Q.Qiu*Y.Yin
PO-GeP-M-310 : Normal Tissue and Tumor Segmentation Using V-Net Regularized by YOLO
C.Hsu*C.MorinT.KirbyM.MetzgerJ.FlerlageS.Kaste
M.KrasinB.ShulkinJ.Lucas
PO-GeP-M-311 : Offline Assessment and Adaptation of Prostate and Head-And-Neck Radiotherapy Using Velocity
M.Hyun*A.SmithP.PatelW.NieS.Wisnoskie
PO-GeP-M-312 : On the Feasibility of Daily Delivered Dose Evaluation Using RTapp for Adaptive Lung SBRT Treatments
N.Zulkarnain*D.MathewC.ChoA.SanthanamD.ElliottS.Seshan
Y.Watanabe
PO-GeP-M-314 : On the Quantification of PET Images for Treatment of Lung Cancer Patients
H.Zhong*N.MorrowJ.Kim
PO-GeP-M-315 : On the Relationship Between Hounsfield Unit and Electron Density: Learning to Be More Accurate
A.Sudhyadhom*J.ScholeyR.MarantsV.KearneyM.DescovichL.Vinas
PO-GeP-M-316 : Online Adaptive Planning Strategy for 1.5T MR-Linac
J.Yang*A.SobremonteS.VedamK.BrockA.OhrtC.Fuller
S.ChoiA.JhingranP.CastilloB.LeeJ.Wang
N.HughesM.MohammadsaidP.Balter
PO-GeP-M-317 : Optimal Image Registration for Combining Dose Distributions From External Beam and Brachytherapy for Combined Modality Prostate Radiation Therapy
A.Cooney*S.ToB.LeeM.LimA.Riegel
PO-GeP-M-318 : Optimal Planning Target Volume Margin for Lung SBRT with Minimal Immobilization
C.WilckenT.ChowM.Wierzbicki*
PO-GeP-M-319 : Optimizing Treatment Plan Selection of HPV-Associated OPSCC Patients Using Artificial Intelligence On Electronic Medical Records and Radiomics
T.Bejarano*I.MihaylovM.Samuels
PO-GeP-M-320 : Organ Segmentation From CT Images Using Super Perception Convolutional Neural Networks for Cervical Cancer Brachytherapy
Z.Zhang*S.WangY.HeR.ZhouZ.JinP.Xie
J.Wei
PO-GeP-M-321 : Out of Sample Performance of a Deep Learning Based Registration Quality Assurance Method
X.Zhou*S.GalibH.LeeG.Hugo
PO-GeP-M-322 : Out-Of-Field Radiation Dose Considerations in Partial Breast Irradiation with Elekta Unity MR-Linac - a Feasibility Study
M.Muruganandham*B.LeeS.VedamJ.WangJ.YangM.Salehpour
S.Shaitelman
PO-GeP-M-323 : Partial Volume Correction (PVC) in Quantitative 18F-FDG PET/CT Imaging On Intratumoral Dose Response Assessment
S.Chen*S.ChangD.KraussD.Yan
PO-GeP-M-324 : Patient Dose From Kilovoltage Radiographic Images During Synchrony Treatments On the Radixact System
W.Ferris*W.Culberson
PO-GeP-M-325 : Patterns in the Diffusion Characteristics of Brain Metastases in Stereotactic Radiosurgery Patients Using Diffusion Weighted Imaging
J.Madamesila*N.PloquinE.Tchistiakova
PO-GeP-M-326 : Performance Evaluation of the Twist-Correction System for Head and Neck Radiotherapy Driven by Remote Control
H.Shimizu*K.SasakiT.AoyamaT.KitagawaT.IwataH.Fukuma
H.TachibanaT.Kodaira
PO-GeP-M-327 : Phantom with Randomly Distributed Anechoic Spheres for Assessing Lesion Detectability and Scan Setup of Ultrasound Transducers
Z.Li*C.BaiuJ.ChenJ.Zagzebski
PO-GeP-M-328 : Pre-Clinical Evaluation of a Surface Imaging System for Intracranial Stereotactic Radiosurgery
E.Covington*C.HuygheS.WiesnerD.HansonR.Popple
PO-GeP-M-329 : Predicting Prognosis of Posterior Fossa Ependymoma Using MRI Radiomics
L.TamD.YeciesM.HanK.YeomS.Mattonen*
PO-GeP-M-330 : Predicting Successful Voluntary Breath-Hold Candidates by Monitoring Breathing During Simulation
T.NanoD.CapaldiM.FengT.SolbergA.Witztum*
PO-GeP-M-331 : Predicting Treatment Outcome After Immunotherapy Based On Delta-Radiomic Model in Metastatic Melanoma
X.Chen*M.ZhouK.WangZ.WangZ.Zhou
PO-GeP-M-332 : Predicting Tumor Control Using Geometric Features of Hypoxia Measured with EPRI
H.Smith*I.GertsenshteynB.EpelE.BarthM.MaggioS.Sundramoorthy
H.Halpern
PO-GeP-M-333 : Prediction of Optimal Weighting Factors Into the Objective Function On IMRT Plans
E.Cisternas Jimenez*F.Yin
PO-GeP-M-334 : Prediction of Uterus Volume Shrinkage for Cervical Cancer Patients During Radiotherapy Using Machine-Learning Approach with Treatment Planning-CT Radiomic Features
M.Nakano*T.NakamotoY.KumaiY.KoizumiM.SumiK.Nawa
T.ImaeY.YoshiokaM.Oguchi
PO-GeP-M-335 : Probabilistic Definition of the Clinical Target Volume -- Implications for Tumor Control Probability Modeling
D.Craft*T.Bortfeld
PO-GeP-M-336 : Producing Clinical Data in Real-Time From An Automated and Paperless Workflow Implemented in Our Oncology Information System
H.Miras Del Rio*A.Bertolet ReinaA.WalsJ.Macias
PO-GeP-M-337 : Prognostic Prediction for Lung Stereotactic Body Radiotherapy Using Breath-Hold CT-Based Radiomic Features with Random Survival Forest: A Multi-Institutional Study
R.Kakino*M.NakamuraT.MitsuyoshiT.ShintaniM.KokuboY.Negoro
M.FushikiM.OguraS.ItasakaC.YamauchiS.Otsu
T.SakamotoM.SakamotoN.ArakiH.HirashimaT.Adachi
Y.MatsuoT.Mizowaki
PO-GeP-M-338 : Prognostic Value of Imaging-Based Estimates of Glioma Pathology Pre- and Post-Surgery
E.Gates*D.SukiJ.WeinbergS.PrabhuD.FuentesD.Schellingerhout
PO-GeP-M-339 : Prospective Evaluation of Serial Quantitative MR Imaging of Patients with Brain Cancer On a 0.35T MR-Linac
S.Nejad-Davarani*N.ZakariaeiN.HurstS.SiddiquiJ.SnyderT.Walbert
Y.ChenE.HaackeC.Glide-Hurst
PO-GeP-M-340 : Prostate Contour Variability in An MR-Only Prostate SBRT Workflow
M.Davidson*A.ShaaerJ.StewartD.VespriniJ.DetskyA.Loblaw
W.ChuH.ChungS.LiuJ.ShahiM.Wronski
M.RuschinC.Mccann
PO-GeP-M-341 : Prostate Motion When Patient Coughs and Its Dosimetric Impact
B.GuoR.TendulkarP.Xia*
PO-GeP-M-342 : Proton Radiography as a Means to Verify Surface-Imaging Localization Accuracy
E.Gelover*C.ChenH.Li
PO-GeP-M-343 : Prototyping a Morphological Positioning Robot for Radiotherapy
R.Yang*K.BaoL.ZhengP.GuanF.Guo
PO-GeP-M-344 : PTV Margin for Reduced Normal Tissue Dose VMAT Cranionspinal Irradiation
M.Lin*Z.XiongE.ChambersN.DesaiA.Godley
PO-GeP-M-345 : PTV Margin Reduction Study for 2-Phase Image-Guided VMAT Prostate Treatment
S.Yaghoobpour Tari*J.DubickiA.Hallock
PO-GeP-M-346 : Quantification of Intra- and Interfractional Target Motion and Deformation in Gastric Cancer Radiotherapy
M.Bleeker*S.LieA.BelJ.SonkeM.HulshofA.van der Horst
PO-GeP-M-347 : Quantification of Intrafraction Prostate Motion Using Detected Features in Sagittal 2D Cine-MR
B.Strbac*C.BrouwerS.BothJ.LangendijkD.YakarS.Al-uwini
PO-GeP-M-348 : Quantification of Prostate Positioning Accuracy and Movement During SBRT with CBCT Imaging
K.Jones*Z.GrelewiczJ.Van ScheltA.TempletonD.WangJ.Turian
PO-GeP-M-349 : Quantification of White Matter Hyperintensities Based On Diffusion Tensor Imaging and Support Vector Machine
L.ZhengR.GaoW.LuL.ShiW.Lu*J.Qiu
PO-GeP-M-350 : Quantify the Difference in Target Margin Sharpness Demonstrated On 4DCT and 4DCBCT Images
Y.Tseng*M.ZhangM.HuntY.Song
PO-GeP-M-351 : Quantifying Radiation-Induced Changes to Pulmonary Anatomy Through Dose-Binned Hounsfield Unit Analysis Pre- and Post-RT
A.Wuschner*E.WallatM.FlakusD.ShanmuganayagamJ.MeudtG.Christensen
J.ReinhardtJ.Bayouth
PO-GeP-M-352 : Quantifying the Effects of Radiation Therapy Fractionation Scheme On Dose Response Modeling
E.Wallat*A.WuschnerM.FlakusW.ShaoJ.ReinhardtG.Christensen
J.Bayouth
PO-GeP-M-353 : Quantitative Analysis On KV-Based Motion Management During DIBH Lung SBRT
T.Chen*H.WangM.MalinM.TamD.Barbee
PO-GeP-M-354 : Quantitative Effect of MV Beam Scatter On Real-Time KV and Fluoroscopic Images
W.Luo*S.ZabinskiD.PokhrelQ.ChenJ.AllenJ.Molloy
PO-GeP-M-355 : Race-Telltales From Blinded Notes? Clinical Evidence Or Implicit Bias
H.ZhouD.Ruan*
PO-GeP-M-356 : Radiation Hardness of Cadmium Telluride Solar Cells in Proton Therapy Beam Mode
S.Cho*S.AhnJ.Song
PO-GeP-M-357 : Radiobiological and Physical Evaluation of the Effect of Metal Artifacts with VMAT and IMPT Plans
T.Lee*W.HsiY.Mekuria
PO-GeP-M-358 : Radiomics Feature Robustness Under Different Image Perturbation Combinations and Intensities: A Study On Nasopharyngeal Carcinoma CT Images
J.ZhangX.Teng*Z.MaT.YuS.LamF.Lee
K.AuW.YipJ.Cai
PO-GeP-M-359 : Raw-Data Effective Atomic Number and Electron Density Assessment Accuracy: A Phantom Study
C.Schaeffer*S.LeonC.OlguinM.Arreola
PO-GeP-M-360 : Real-Time Long Range Respiratory Prediction
J.Prinable*R.O'Brien
PO-GeP-M-361 : Real-Time Target Tracking in Fluoroscopy Imaging Using Unet with Convolutional LSTM
T.Peng*Z.JiangY.ChangL.Ren
PO-GeP-M-362 : Real-Time Verification and Quantification of Breath-Hold Reproducibility During Treatment for Liver and Lung SBRT
A.Antolak*N.WoodyK.StephansP.XiaB.Guo
PO-GeP-M-363 : Real-Time Volumetric Image Guidance From a Single Projection View Via Deep Learning: A Preliminary Study
X.Liang*W.ZhaoL.Xing
PO-GeP-M-364 : Reconstruction of Intrafractional 3D Images From Real-Time 2D KV Radiograph and 4DCT
J.Kim*G.ChenA.TaiS.LimT.KeiperX.Li
H.Zhong
PO-GeP-M-365 : Reducing Effective Dose and Cancer Risk for An Interplanetary Space Mission with Magnetic Shielding
K.Ferrone*C.WillisJ.MaL.PetersonF.GuanS.Kry
PO-GeP-M-366 : Reducing IMRT QA Workload by 95% and Keeping the Same Level of Quality Control
T.Nano*M.DescovichE.HirataY.InterianG.Valdes
PO-GeP-M-367 : Region Specific Dose Prediction Using Deep Neural Networks: A Feasibility Study On the Planning Target Volume of Prostate IMRT Patients
D.Nguyen*S.Jiang
PO-GeP-M-368 : Residual Learning by An Artificial Neural Network for a Radiotherapy Beam Monitoring System
Y.Cho*M.FarrokhkishB.NorrilngerR.HeatonJ.DavidM.Islam
PO-GeP-M-369 : Results of a Prospective Trial Examining MRI Sialography Guided Parotid Ductal Sparing
D.Fried*T.ZhuS.DasL.MarksC.ShenK.Pearlstein
B.Chera
PO-GeP-M-370 : Robustness Study of Deep Learning Based Medical Image Segmentation to Noisy Annotation
S.Yu*E.ZhangJ.WuH.YuL.MaZ.Yang
M.ChenX.GuW.Lu
PO-GeP-M-371 : ROdiomX: A New Validated Software for the Radiomics Analysis of Medical Images in Radiation Oncology
H.Bagher-Ebadian*M.LuF.SiddiquiA.GhanemN.WenQ.Wu
B.MovsasI.Chetty
PO-GeP-M-372 : RT PACS Is Becoming An Indispensable Information System for Clinical Practice and Research in Radiation Oncology
Y.Yan*W.LuJ.WuM.LinX.GuS.Jiang
PO-GeP-M-373 : Scoring Contour Agreement Using a Beta Distribution Model
T.Lim*X.WangJ.Yang
PO-GeP-M-374 : Segmentation Accuracy and Radiomics Feature Stability of Multiple U-Net Based Automatic Segmentations On Ultrasound Images for Patients with Ovarian Cancer
X.Jin*J.JinC.Xie
PO-GeP-M-375 : Self-Supervised Deep Learning for Low-Dose CT Image Denoising
T.Bai*D.NguyenS.Jiang
PO-GeP-M-376 : Semi-Automatic Contouring for Prostate Cancer Patients Based On Random Forest Classifier and Active Contour Algorithm
D.Tewatia*R.Tolakanahalli
PO-GeP-M-377 : Sensing Changes in Tumor During Boron Neutron Capture Therapy Using PET with a Collimator: Simulation Study
H.Yang*D.YoonT.Suh
PO-GeP-M-378 : Setup and Intrafractional Motion Error in the Hypo-Fractionated Brain Radiosurgery and the Effectiveness of Bite Block
E.Han*S.KrafftT.Briere
PO-GeP-M-379 : Should Anchored Lung Beacons Motion Correlation with Lung Tumor Motion Be Evaluated Using 4DCT for Every Patient?
D.SoultanH.Saleh
PO-GeP-M-380 : Simplifying 3D Bolus Creation Using 3D Slicer
P.Koistinen*M.Koistinen
PO-GeP-M-381 : Single Imager Proton Radiography with a Pencil-Beam Scanning System
J.HarmsL.MaloneyY.LinT.LiuA.EricksonR.Zhang*
PO-GeP-M-382 : Six Dimensional Cranial Motion Detection Using a Novel Capacitive Monitoring Technology
P.Sadeghi*J.Robar
PO-GeP-M-383 : Skin Dose Comparison Between a 1.5 T MR-Linac and a Conventional Linac Using Optically Stimulated Luminescence Dosimeters for Patients with Intracranial Tumors
A.Kim*C.MccannM.RuschinC.TsengA.SahgalB.Keller
PO-GeP-M-384 : Statistical Process Control Analysis of Adaptive Patient Specific QA On the Elekta Unity MRI-Linac
S.Strand*A.BoczkowskiJ.SnyderD.HyerS.YaddanapudiD.Dunkerley
J.St-Aubin
PO-GeP-M-385 : Stereotactic Space Definition Accuracy in the Latest Gamma Knife Icon Based Radiosurgery
B.Liu*T.CuiD.ShabbarJ.WeinerN.YueK.Nie
PO-GeP-M-386 : Study of Segmental Spinal Cord Contour Expansion Margin for Esophageal Cancer Patient Under Radiation Treatment
L.Dingjie*S.WeiC.YangH.Ge
PO-GeP-M-387 : Study of the In-Air Electron Streaming Effect for Lung SBRT with a 1.5T MR-Linac
H.Liu*S.DingB.WangY.LiY.XIAY.Sun
X.HUANG
PO-GeP-M-388 : Study On Intelligent Treatment Planning for Left Breast Cancer
H.Xiaodong*B.SuR.Zhao
PO-GeP-M-389 : Surveillance of Conventionally Fractionated Lung Radiotherapy Using a CBCT Dose Calculation Framework - a Preliminary Study
G.Lasio*B.ZhangS.LeeA.GopalB.Yi
PO-GeP-M-390 : Synthetic Contrast Enhancement of Cone Beam Computed Tomography (CBCT) for Adaptive Radiotherapy
O.Dona*Y.WangD.HorowitzA.XuJ.RickmanC.Wuu
PO-GeP-M-391 : Synthetic Fluoroscopic Image Generation for Tracking Accuracy Validation of Marker-Less Tumor Tracking in Radiotherapy
K.Miyazaki*T.FujiiT.UmekawaN.MiyamotoK.Umegaki
PO-GeP-M-392 : Target Tracking in Kilovoltage Images Using Templates of Fiducial Constellations
G.Angelis*B.ZwanA.BriggsD.NguyenP.KeallJ.Booth
PO-GeP-M-393 : Techniques and Strategies for Minimizing Reconstruction Artifacts in Extended FOV CT Used for Radiation Therapy Treatment Planning
S.Scarboro*A.PolemiE.AliottaP.Collins
PO-GeP-M-394 : The Commissioning of DLG Correction Factor for Mobius3D
b.wang*B.YangJ.Qiu
PO-GeP-M-395 : The Content-Based Standardizing Nomenclatures (CBSN) in Radiotherapy for Nasopharyngeal Carcinoma OARs
X.MAIS.HUANGZ.Zhongw.zhengS.ChenS.Zhou
s.HuangY.XIAX.HUANGX.Yang*
PO-GeP-M-396 : The Correction Term of a Three-Pool Kinetic Model for In Vitro Anaerobic Glycolysis Under MRI
C.Hsieh*K.LuG.LinC.WuF.Chen
PO-GeP-M-397 : The Effect of Couch and Gantry Angles On Patient Monitoring Using An Optical Surface Monitoring System Equipped with the Advanced Camera Calibration Feature
P.MoneD.Workie*
PO-GeP-M-398 : The Feasibility of Using Radiomics to Detect T-Spine Lytic Bone Metastases in Simulation-CT Images
H.Naseri*J.Kildea
PO-GeP-M-399 : The Impact of 5D Accumulated Dose On Toxicity Predictions Compared to Planned Dose for Non-Small Cell Lung Cancer Treated with IMRT and PSPT
Y.He*U.TittZ.LiaoJ.Pollard-LarkinP.BalterR.Mohan
K.Brock
PO-GeP-M-400 : The Impact of CT Reconstruction Kernels On Atlas Based Automatic Segmentation
M.Reyhan*B.SwannI.VergalasovaN.YueK.NieR.Singh
M.McKenna
PO-GeP-M-401 : The Optimization of Spectra Gap for Proton Stopping Power Estimation Using Dual-Energy CT Image Domain Method
D.Han*S.ZhangK.Ding
PO-GeP-M-402 : The Use of Image Reject Analysis to Improve Imaging Within a Radiation Therapy Department
L.Buckley*
PO-GeP-M-403 : To Distinguish Peripheral Lung Cancer and Pulmonary Inflammatory Pseudotumor Using CT-Radiomics Features Extracted From PET/CT Images
C.MaY.Yin*
PO-GeP-M-404 : To Tweak Or Not to Tweak? Prospects for Daily Online Adaptation Using Unedited CBCT Auto-Segmentation
M.MoazzeziK.MooreK.KislingC.BojechkoX.Ray*
PO-GeP-M-405 : TOPAS Model for Simulating Contrast in High-Energy Proton Radiography
B.Broder*M.Freeman
PO-GeP-M-406 : Toward Real-Time MR-Guided Adaptive Radiotherapy Planning Using a Deep Convolutional Conditional Generative Adversarial Network
L.Buchanan*Y.ZhangX.ChenF.CeballosY.LiangX.Li
PO-GeP-M-407 : Towards a Mathematical Framework to Address Uncertainty, Adaptation Cost and Tractability in Robust Adaptive Radiation Therapy
M.Boeck*
PO-GeP-M-408 : Towards Safer Artificial Intelligence-Based Radiation Therapy Treatment Planning: Adding Uncertainty Estimation to Volumetric Dose Prediction Using An Approximate Bayesian Method On Deep Neural Networks
D.Nguyen*A.BalagopalA.Sadeghnejad BarkousaraieR.McBethS.Jiang
PO-GeP-M-409 : Transferring Beam Navigation Behavior From Human to Robot: An Evidence Driven Decision Making Model for Liver SBRT
Y.Sheng*W.WangR.LiC.WangJ.ZhangX.Li
H.StephensQ.WuF.YinY.GeQ.Wu
PO-GeP-M-410 : Treatment of Oligoresistant and Oligoprogressive Disease in Metastatic Prostate Cancer Patients with Radiation Therapy
A.Roth*G.CooleyJ.SmilowitzP.FerjancicG.LiuR.Jeraj
PO-GeP-M-411 : Treatment Planning for Patients with Resected GBM: Is Post-Operative MRI Enough?
S.Thrower*K.BrockY.HasanC.Chung
PO-GeP-M-412 : Unboxing Artificial Intelligence "black-Box" Models - A Novel Heuristic
S.Weppler*H.QuonN.HarjaiC.BeersL.Van DykeC.Kirkby
C.SchinkelW.Smith
PO-GeP-M-413 : Understanding Radiomics Interconnections Using Network Graphs
A.Apte*A.IyerJ.DeasyJ.Oh
PO-GeP-M-414 : Using Daily Image-Guidance CBCT Scans to Determine the Impact On Delivered Dose From Variations in Bladder and Rectal Filling During IMRT for High-Risk Prostate Cancer
W.Martin*D.MynampatiW.BodnerK.GarciaS.HsuJ.Yap
M.GargS.KalnickiW.ToméP.Brodin
PO-GeP-M-415 : Using Radiomics to Study Statin Use and Omega-3 Use in Prostate Cancer Patients
D.Zheng*Y.ShiE.WahleL.KrajewskiX.LiangQ.Du
C.ZhangS.ZhouM.Baine
PO-GeP-M-416 : Using Raman Spectroscopy and Machine Learning to Predict and Monitor Cellular Radiation Responses
X.Deng*K.MilliganR.Ali-AdeebP.ShreevesS.Van NestJ.Andrews
A.BroloJ.LumA.Jirasek
PO-GeP-M-417 : Using Very Small Contour Sets to Train High-Quality Deep-Learning Segmentation Models
Y.Zhao*D.RheeC.CardenasL.CourtJ.Yang
PO-GeP-M-418 : Utilizing Knowledge-Based Planning Model to Predict Achievable Prescription Dose for Mesothelioma Patients with Two Intact Lungs
L.KUO*A.RimnerE.Yorke
PO-GeP-M-419 : Validation and Clinical Application of DL-Based Automatic Target and OAR Segmentation Software, DeepViewer
Z.Peng*Y.ChangY.SongH.WuA.WuX.Pei
X.Xu
PO-GeP-M-420 : Validation of a Commercial Continuous Hounsfield Unit (HU) Pelvis Synthetic CT Platform for MR-Only Prostate Radiotherapy Treatment Planning
V.Yu*M.HuntL.CervinoA.DamatoN.Tyagi
PO-GeP-M-421 : Validation of a Near-Infrared Pupil-Tracking Tool for Robotic Radiosurgery of Ocular Tumors
J.Mégrourèche*K.ZeroualiF.DeBloisD.RobergeS.Bedwani
PO-GeP-M-422 : Validation of An AI-Driven Treatment Planning System for Adaptive Radiotherapy
E.Pryser*B.CaiF.ReynosoE.LaugemanL.HenkeH.Kim
S.MuticG.Hugo
PO-GeP-M-423 : Validation of An Automatic ACR Phantom Quality Assurance Tool for the Low-Field MR Guided Radiotherapy System
Y.Gao*R.LoteyP.HuY.Yang
PO-GeP-M-424 : Validation of An Optical Surface Monitoring System to Detect Submillimeter Surface Displacements at Non-Zero Couch Angles
D.Pinkham*S.KamathA.YuS.Hancock
PO-GeP-M-425 : Validation of Four-Dimensional Computed Tomography Without An External Respiratory Signals Device for the Radiotherapy Planning of Lung Cancer Patients
Y.Shimohigashi*Y.DoiY.KonoM.MaruyamaY.KaiR.Toya
PO-GeP-M-426 : Validation of Intrafraction Motion Review Using Dual Surrogate in Prospective Clinical Study
A.Cetnar*A.AyanG.GraeperM.WeldonK.WoodsN.Gupta
PO-GeP-M-427 : Value Proposition of Online Adaptive Radiotherapy: Clinically Achieved Improvements in Daily Delivered Dose
J.Bayouth*L.BayouthP.YadavA.ShepardA.BaschnagelM.Bassetti
K.Mittauer
PO-GeP-M-428 : Versatile Geometric Distortion Evaluation of MRI Using Modular Phantom with LEGO Compatibility in Radiation Therapy
C.Hong*H.ChoC.LeeB.Ahn
PO-GeP-M-429 : Virtual Acquisition: Efficient, Accurate and Low-Dose KV-Projection Based Positioning
H.Yan*J.LiZ.WangC.DengX.LiC.Ma
J.Li
PO-GeP-M-430 : VMAT Case Study for Patient Specific Virtual Compensator Algorithm EPID In-Vivo Dosimetry
J.Barbiere*R.Teboh ForbangA.Ndlovu
PO-GeP-M-431 : Voxel Forecast Classifier to Predict Spatially Variant Binary Tumor Voxel Response On Longitudinal FDG-PET/CT Imaging of FLARE-RT Protocol Patients
S.Bowen*D.HippeW.ChaovalitwongseP.ThammasornX.LiuR.Iranzad
R.MiyaokaH.VesselleP.KinahanR.RenganJ.Zeng
PO-GeP-M-432 : Weakly-Supervised Deep Learning Based Automatic Image Segmentation Via Deformable Image Registration
W.Chi*W.LuL.MaJ.WuH.ChenM.Tan
X.Gu
PO-GeP-M-433 : Weekly Vs. Daily Online Adaptation for Head and Neck Intensity-Modulated Proton Therapy
M.Bobic*A.LalondeG.SharpC.GrassbergerJ.VerburgB.Winey
A.LomaxH.Paganetti
PO-GeP-M-434 : What Is the Dosimetric Benefit of Weekly and Daily Adaptive Replanning for Prostate Cancer Patients?
M.Splinter*T.BostelP.haeringC.LangN.Nicolay
PO-GeP-M-435 : White Matter Fiber Tract Abnormalities by Voxel Wise Correlation Analysis in Neurodegenerative Disease
R.Juh*J.HanC.KimC.OhT.Suh
PO-GeP-M-436 : Why MAE Alone Is Not Enough for SCT Model Comparisons
P.Klages*N.TyagiH.Veeraraghavan
PO-GeP-M-437 : Young-S Modulus Reconstruction From Ultrasound Breast Images
C.Rabin*N.Benech
PO-GeP-M-438 : The Effect of Dose Calculation Accuracy for HU to Electron Density Calibration For Iterative CBCT Reconstruction
J.Zavala Bojorquez*E.Flores-MartinezT.AtwoodC.Bojechko
PO-GeP-M-439 : Comparison of a 3D Convolutional Neural Network Segmentation Method to Traditional Atlas Segmentation for CT Head and Neck Contours
A.Kruzer*H.WanM.BendingC.HalleyD.DarkowD.Pittock
N.ColeP.JacobsA.Nelson