| Artifact and Noise Mitigation |
WE-AB-KDBRB1-6: Novel Imaging Modalities and Applications
BEST IN PHYSICS (JOINT IMAGING-THERAPY): ACROBEAT: Adaptive CaRdiac COne BEAm Computed Tomography |
Tess Reynolds |
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WE-FG-207-4: Computed Tomography II
Automated-Adaptive Iterative Metal Artifact Reduction: Quantitative Evaluation of Streak Artifact Reduction When Reconstructing CT Images in Presence of Metal |
Nilesh Mistry |
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| Emerging Modalities and Platforms |
WE-AB-KDBRB1-10: Novel Imaging Modalities and Applications
An Investigation of the Optical Properties Dependence for Cherenkov Imaging of TSET |
Timothy Zhu |
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| Functional Imaging |
WE-AB-202-9: Magnetic Resonance Imaging
Quality Assessment and Repeatability Measurement On DCE-MRI-Derived Blood Volume in Individual Patients During a Clinical Trial |
Madhava Aryal |
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WE-AB-KDBRC-4: Longitudinal and Functional Imaging
Clinical Validation of Four-Dimensional Computed Tomography-Based Lung Ventilation Images Using Texture Feature Analysis and Pulmonary Function Test |
Hao Zhang |
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WE-AB-KDBRB1-11: Novel Imaging Modalities and Applications
Distinguishing Immunotherapy Resistant and Sensitive Melanoma Xenografts Using 13C-MRS of Hyperpolarized Pyruvate and 1H-NMR Metabolomics |
Prasanta Dutta |
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WE-FG-207-5: Computed Tomography II
Dialysate Cooling During Hemodialysis: Assessment of Liver Hemodynamics Using CT Perfusion Imaging |
Raanan Marants |
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| Intelligent Treatment Planning |
WE-FG-DBRA-1: Knowledge-based Treatment Planning
Automated IMRT Treatment Planning Using Expedited Constrained Hierarchical Optimization (ECHO): Retrospective Study and Clinical Implementation |
Masoud Zarepisheh |
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WE-FG-DBRA-2: Knowledge-based Treatment Planning
BEST IN PHYSICS (THERAPY): Manual Plan Refinement Offers Little to No Improvement Over Knowledge-Based Automated Plans Across Multiple Disease Sites |
Robert Kaderka |
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WE-FG-DBRA-3: Knowledge-based Treatment Planning
Ensemble Learning: A Case Study with Knowledge Based Treatment Planning |
Jiahan Zhang |
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WE-FG-DBRA-4: Knowledge-based Treatment Planning
Full Automation of Head-And-Neck Contouring, VMAT Planning, and Independent Plan Checks |
Rachel McCarroll |
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WE-FG-DBRA-7: Knowledge-based Treatment Planning
Modeling of Multiple Planning Target Volumes (PTVs) in Knowledge-Based Planning (KBP) |
Jiahan Zhang |
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WE-FG-DBRA-10: Knowledge-based Treatment Planning
Fully Automated Configuration of An Algorithm for Automated Multi-Objective Treatment Planning |
Rens van Haveren |
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WE-FG-DBRA-11: Knowledge-based Treatment Planning
Knowledge-Based Treatment Planning Increases Complexity and Reduces Delivery Accuracy of VMAT Plans for Prostate Cancer |
Phillip Wall |
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WE-HI-DBRA-10: Particle Therapy Optimization and Planning
Planning Strategies for Linear Energy Transfer Reduction in Structures with Suspected Treatment Related Toxicities Following Proton Therapy for Brain Tumors |
Jakob Ödén |
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| Ensuring Safety, Quality, and Efficiency |
WE-AB-KDBRB1-9: Novel Imaging Modalities and Applications
HINGE - A Demonstration of FHIR Framework Principles Into An Integrated Health Care Platform for Quality Assessment, Analytics and Smart Decision-Support Apps in Radiation Oncology |
Joseph Nalluri |
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WE-J-KDBRA1-7: Patient Safety and Quality Improvement
Treatment Planning System Beam Modeling Parameters Exhibit High Variation Among Radiotherapy Institutions |
Mallory Glenn |
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WE-FG-KDBRA1-8: New QA and Dosimetry Techniques
Independent Recalculation Outperforms Traditional Measurement-Based IMRT QA Methods in Detecting Unacceptable Plans |
Stephen Kry |
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WE-J-KDBRA1-6: Patient Safety and Quality Improvement
Statistical Shape Models for the Automated Detection of OAR Segmentation Abnormalities |
Eduard Schreibmann |
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WE-J-KDBRA1-3: Patient Safety and Quality Improvement
Electronic Whiteboard Program for Improving Efficiency of Treatment Planning Workflow |
Hungcheng Chen |
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WE-AB-DBRA-10: Brachytherapy and Radionuclide Therapy
Streamlined HDR Skin Brachytherapy with Optical 3D Scanning, 3D Printing and Augmented Reality |
Christian Guthier |
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| Precision in Treatment Delivery |
WE-AB-DBRA-4: Brachytherapy and Radionuclide Therapy
Dose Measurements and Monte Carlo Simulations of a Directional LDR Brachytherapy Source Array |
Manik Aima |
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WE-AB-DBRA-11: Brachytherapy and Radionuclide Therapy
Biodistribution and Pharmacokinetic Analysis of a Targeted Alpha Particle Therapy |
Christopher Tichacek |
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WE-FG-KDBRA1-3: New QA and Dosimetry Techniques
Adapting 3D Printer Technology for QA of Gammaknife Icon High Definition Motion Management System |
Kevin Grantham |
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WE-HI-DBRA-3: Particle Therapy Optimization and Planning
An Automated Planning Strategy for Near Real-Time Adaptive Proton Therapy |
Thyrza Jagt |
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WE-HI-DBRA-9: Particle Therapy Optimization and Planning
Robust Optimization for Intensity-Modulated Proton Therapy to Redistribute High Linear Energy Transfer From Organs at Risk to Tumors in Head and Neck Cancer |
Chenbin Liu |
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| New Approaches to Quantify Dose |
WE-FG-KDBRA1-1: New QA and Dosimetry Techniques
Absolute Dosimetry Using a Novel Portable Water Calorimeter Design in MR-Linac |
Humza Nusrat |
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WE-FG-KDBRA1-2: New QA and Dosimetry Techniques
Accuracy of Real-Time Large and Small Beam Measurements From An MR-Linac Using Cherenkov Imaging Technique in a Water Tank |
Jacqueline Andreozzi |
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WE-FG-KDBRA1-5: New QA and Dosimetry Techniques
Cherenkov Emission-Based Photon and Electron Beam Dosimetry |
Yana Zlateva |
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WE-FG-KDBRA1-7: New QA and Dosimetry Techniques
First Characterization of a Novel Reusable Radiochromic Film for QA and Dose Measurement |
Cielle Collins |
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| MRI in RT |
WE-FG-KDBRB1-6: MRI Guided Radiation Therapy
BEST IN PHYSICS (JOINT IMAGING-THERAPY): On Axis and X-Band Linac Designs Enable Improved Passive Magnetic Shielding in MRI-Linac Systems |
Brendan Whelan |
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WE-FG-KDBRB1-8: MRI Guided Radiation Therapy
Deep Learning for Head and Neck Segmentation in MR: A Tool for the MR-Guided Radiotherapy |
Brian Anderson |
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WE-FG-KDBRB1-9: MRI Guided Radiation Therapy
Electron Return Effect Predictions From Treatment Planning System of An MR-Linac Underestimate the Observations Seen Using Scintillation and Cherenkov Optical Imaging |
Jacqueline Andreozzi |
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WE-FG-KDBRB1-10: MRI Guided Radiation Therapy
Model-Interpolated Gating for MRI-Guided Radiotherapy |
John Ginn |
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WE-HI-KDBRB1-7: Tracking and Motion Management
Volumetric Cine MRI (VC-MRI) Using Motion Modeling, Free-Form Deformation and Multi-Slice Undersampled 2D Cine MRI Reconstructed with Spatio-Temporal Low-Rank Decomposition |
Wendy Harris |
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WE-J-KDBRC-6: QA for Advanced Imaging Applications
Novel Phantom and Optical Imaging Technique Can Co-Align Magnetic Resonance Imaging and Radiation Isocenters for Integrated Therapy Systems |
Jacqueline Andreozzi |
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| Real-Time Treatment Guidance |
WE-AB-DBRA-7: Brachytherapy and Radionuclide Therapy
It Is About (real) Time to Verify HDR Treatments: Duke Solution Using Nano-Fiber Optic Detector |
Michelle Rokni |
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WE-AB-KDBRB1-1: Novel Imaging Modalities and Applications
Compton Scatter Imaging for Lung SBRT Assessed Through Phantom Studies |
Kevin Jones |
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WE-AB-KDBRB1-7: Novel Imaging Modalities and Applications
Cherenkov Imaging for Total Skin Electron Therapy (TSET) |
Yunhe Xie |
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WE-FG-KDBRA1-4: New QA and Dosimetry Techniques
BEST IN PHYSICS (THERAPY): 4D Dynamic Robotic Phantom System for Patient-Specific Quality Assurance in Real Time Tumor Tracking Radiotherapy |
Takehiro Shiinoki |
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WE-HI-KDBRB1-2: Tracking and Motion Management
Characterisation of 4D Ultrasound Systems with Streaming Interfaces for Real-Time Motion Compensation in Radiotherapy |
Svenja Ipsen |
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WE-HI-KDBRB1-3: Tracking and Motion Management
High Accuracy Estimation of Real-Time Six Degrees of Freedom (6DoF) Intrafraction Tumor Motion with Intermittent KV Imaging by Incorporating External Respiratory Signal |
Doan Trang Nguyen |
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WE-HI-KDBRB1-4: Tracking and Motion Management
Predicting Real-Time 3D Deformation Field Maps (DFM) Based On Volumetric Cine MRI (VC-MRI) and Artificial Neural Networks for On-Board 4D Target Tracking/Gating |
Wendy Harris |
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WE-HI-KDBRB1-11: Tracking and Motion Management
Real-Time Localization of Intrafractional Lung Tumor Motion Using IR-UWB Radars |
Raghed El-Bardan |
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| Response Assessment |
WE-AB-KDBRC-3: Longitudinal and Functional Imaging
Investigation of Dose-Correlated MR Biomarker Changes in Brain Metastases Post-SRS |
Jeff Winter |
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WE-AB-KDBRC-5: Longitudinal and Functional Imaging
Multiparametric Regional Radiation Dose-Response of Normal Lung On Longitudinal MAA-SPECT/CT and FDG-PET/CT Imaging of FLARE-RT Protocol Patients |
Hannah Thomas |
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WE-AB-KDBRC-7: Longitudinal and Functional Imaging
Comparison of Regional Lung Perfusion Response On Longitudinal MAA SPECT/CT in Lung Cancer Patients Treated with and Without Functional Lung Avoidance Radiation Therapy |
Hannah Thomas |
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| Prediction and Classification |
WE-AB-202-4: Magnetic Resonance Imaging
Complementary Value of MRI-Radiomics Features and Molecular Biomarkers in Glioblastoma to Predict Overall Survival |
Florent Tixier |
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WE-AB-202-8: Magnetic Resonance Imaging
Preoperative Prediction of Early Recurrence in Intrahepatic Cholangiocarcinoma After Partial Hepatectomy |
Lei Xu |
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WE-AB-KDBRC-6: Longitudinal and Functional Imaging
BEST IN PHYSICS (JOINT IMAGING-THERAPY): Variogram-Weighted Generalized Least Squares Regression to Predict Spatially Variant Tumor Voxel Response On Longitudinal FDG-PET/CT Imaging of FLARE-RT Protocol Patients |
Stephen Bowen |
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WE-AB-KDBRC-10: Longitudinal and Functional Imaging
Predicting Lung Tumor Shrinkage During Radiotherapy Seen in a Longitudinal MR Imaging Study Via a Deep Learning Algorithm |
chuang wang |
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WE-FG-DBRA-5: Knowledge-based Treatment Planning
Head and Neck Salivary Gland Spatial Dose-Volume Histogram (DVH) Patterns Predict Radiation-Induced Xerostomia, From Injury to Recovery |
Peijin Han |
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| Artificial Intelligence and Machine Learning |
WE-AB-KDBRC-10: Longitudinal and Functional Imaging
Predicting Lung Tumor Shrinkage During Radiotherapy Seen in a Longitudinal MR Imaging Study Via a Deep Learning Algorithm |
chuang wang |
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WE-FG-207-3: Computed Tomography II
Deep Learning for Automated Quantification of Tumor Phenotypes |
Ahmed Hosny |
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WE-FG-KDBRB1-8: MRI Guided Radiation Therapy
Deep Learning for Head and Neck Segmentation in MR: A Tool for the MR-Guided Radiotherapy |
Brian Anderson |
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WE-HI-KDBRB1-4: Tracking and Motion Management
Predicting Real-Time 3D Deformation Field Maps (DFM) Based On Volumetric Cine MRI (VC-MRI) and Artificial Neural Networks for On-Board 4D Target Tracking/Gating |
Wendy Harris |
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