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Taxonomy: IM- SPECT : Quantitative imaging/analysis
| MO-C930-GePD-F6-2 | The Value of Quantitative CBCT Images Parameters Variations in Prediction of Early Response to Chemoradiotherapy in NSCLC Q Wen*, J Zhu , Q Qiu , C Ma , X Meng , Y Yin , J Yu , Shandong Cancer Hospital Affliated to Shandong University, Jinan, Shandong Province |
| MO-C930-GePD-F8-2 | Effects of Non-Ideal Spectral-Spatial Excitation Slice Profile On Quantitative Analysis of Metabolism Using Hyperpolarized Pyruvate C Walker*, J Bankson , MD Anderson Cancer Center, Houston, TX |
| MO-E115-GePD-F2-3 | Effect of Lung SBRT Fractionation On Feature Variability of Longitudinal Cone-Beam CT Radiomics R Geng1*, K Lafata2 , F Yin3 , (1) Duke University, Durham, NC, (2) Duke University, Durham, NC, (3) Duke University Medical Center, Durham, NC |
| MO-I345-GePD-F9-6 | An Algorithm to Calculate WET Distributions From DICOM Files C Sarosiek1*, M Pankuch2 , G Coutrakon1 , J Ricci3 , (1) Northern Illinois University, Dekalb, IL, (2) Northwestern Medicine Chicago Proton Center, Warrenville, IL, (3) University of Notre Dame, South Bend, IN |
| MO-K-DBRB-2 | Improved PET Quantification by Adaptive Denoising and Regularized Image Reconstruction: A Feasibility Study M Namias1*, R Jeraj2 , (1) Fundacion Centro Diagnostico Nuclear, Buenos Aires, Argentina, (2) University of Wisconsin, Madison, WI |
| MO-K-DBRB-5 | Automated Evaluation of Proton Therapy Related Changes in Intracranial Vessel Diameter On Longitudinal Magnetic Resonance Angiography C Hsu1*, A Faught1 , C Hua1 , Y Li1 , Y Han1 , P Klimo2 , L Elijovich2 , M Kaluarachchi1 , V Moskvin1 , P Fakhriddin1 , T Merchant1 , J Lucas1 , (1) St. Jude Children's Research Hospital, Memphis, TN, (2) Le Bonheur Children's Hospital, Memphis, TN |
| SU-E-202-2 | A New Model of Sparse Dictionary Based Material Elemental Decomposition in Multi-Energy CT for Proton Stopping Power Ratio Estimation C Shen , N Qin*, H Jung , M Yang , X Jia , The University of Texas Southwestern Medical Ctr, Dallas, TX |
| SU-E-205-2 | Defining CT Noise and Dose Reference Levels From Clinical Patient Populations F Ria*, J Solomon , J Wilson , Y Zhang , T Smith , E Samei , Duke University Health System, Durham, NC |
| SU-E-DBRB-1 | A Mathematical Deconvolution Formulation for Superficial Dose Distribution Measurement by Cerenkov Light Dosimetry E Brost*, Y Watanabe , University of Minnesota, Minneapolis, MN |
| SU-H330-GePD-F5-3 | Learning-Based Cone-Beam CT Correction: Dosimetric Calculation Accuracy in Prostate Cancer Radiation Therapy T Wang*, Y Lei , A Jani , P Patel , A Dhabaan , T Liu , X Dong , X Jiang , X Tang , W Curran , X Yang , Emory University, Atlanta, GA |
| SU-H330-GePD-F5-4 | Scatter Correction for Clinical Cone-Beam CT System Using An Optimized Stationary Beam Blocker in a Single Scan X Liang1, C Luo2 , Z Zhang1 , Y Xie1*, T Niu2 , (1) Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, Guangdong, (2) Zhejiang University, Hangzhou, Zhejiang |
| SU-H330-GePD-F6-3 | CT-Based Radiomics Predict Platinum-Sensitivity Status in Limited-Stage Small Cell Lung Cancer Patients Treated with Chemoradiotherapy Q Wen*, J Zhu , X Meng , T Bai , Y Yin , J Yu , Shandong Cancer Hospital Affliated to Shandong University, Shandong University,Jinan,China |
| SU-H330-GePD-F6-4 | Scatter Corrected Cone-Beam CT for Radiomics in Stereotactic Body Radiation Therapy: A Feasibility Study Y Jiang*, L Xu , C Yang , Y Xue , P Yang , T Niu , Zhejiang University, Hangzhou, Zhejiang |
| SU-H330-GePD-F8-2 | Non-Invasive Positron Detector to Monitor the Input Function in PET V Turgeon1*, G Kertzscher2 , S Abbasi Nejad Enger1 , (1) McGill University , Montreal, QC, (2) Aarhus University Hospital, Aarhus, Denmark |
| SU-H330-GePD-F8-4 | Radiomics Features for the Prediction of Radiation Pneumonitis Development in Non-Small Cell Lung Cancer Z Li*, S Wu , Y Yin , J Zhu , Shandong Cancer Hospital to Shandong University, Shandong Academy of Medica, Jinan City, shandong provice |
| SU-H330-GePD-F8-5 | Towards Quantitative Imaging: Mitigation of Dose-Influenced Variation in CT Quantitative Measures Using Bilateral Filtering Denoising M Wahi-Anwar*, N Emaminejad , J Hoffman , G Kim , M Brown , M McNitt-Gray , David Geffen School of Medicine at UCLA, Los Angeles, CA |
| SU-H330-GePD-F9-2 | Comparison of An Anthropomorphic Phantom and the NEMA IEC Body Phantom for Harmonization of PET/CT and PET/MR Scanners A Weisman1*, R Jeraj1,2, T Bradshaw1, (1) University of Wisconsin-Madison, Madison, WI, (2) University of Ljubljana, Ljubljana, Slovenia |
| SU-H400-GePD-F8-3 | Radiomics for Breast MRI in Pre-Treatment Prediction of Nodal Response to Neoadjuvant Chemotherapy in Node-Positive Breast Cancer Patients; a Pilot Study K Drukker*, C Doyle , A Edwards , J Papaioannou , M Giger , university Chicago, Chicago, IL |
| SU-H400-GePD-F8-5 | The Updated CISSCO Method for Quantifying Magnetic Moment of Small Spherical Objectsin MRI C Hsieh1,2*, (1) Medical Imaging Research Center, Institute for Radiological Research, Chang Gung University, Taoyuan, Taiwan (2) Chang Gung Memorial Hosptial, Linkou, Taiwan |
| SU-H400-GePD-F8-6 | Whole Thoracic Radiation Injury Murine MRI Model For Pulmonary Fibrosis D McIlrath*, C Perez-Torres , Purdue University, West Lafayette, IN |
| SU-H400-GePD-F9-1 | Computer-Aided Diagnosis of Hepatic Fibrosis Utilizing Radiomic Features in Phase Contrast X-Ray Computed Tomography J Duan1*, (1) Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong |
| SU-H430-GePD-F5-4 | Quantifying the Difference of Non-Small Cell Lung Carcinoma Subtypes On 18F-FDG PET Using Radiomic Approach X Sha*, G Gong , H Deng , Y Yin , Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong |
| SU-I-GPD-I-11 | Quantifying the Imaging Manifestations of Primary Hepatocellular Carcinoma Using the CT Radiomics Approach Z Han1*, G Gong1 , Y Yin1 , (1) Shandong Cancer Hospital Affiliated to Shandong University, Shandong Academy of Medical Sciences |
| SU-I-GPD-J-49 | Feasibility Study of Modeling Tumor Heterogeneity with PET Images Y Feng1*, (1) East Carolina Univ, Greenville NC |
| SU-K-202-6 | Evaluation of the Gain in Using Higher Order Components of the Thoraco-Abdominal Surface to Estimate Volumetric Tidal Flow P Sabouri*, m ranjbar , U Langner , A Sawant , K Langen , S Mossahebi , University of Maryland School of Medicine, Baltimore, MD |
| SU-K-207-3 | Retrospective Geometric Distortion Correction of a Dedicated MR-Simulator for Radiotherapy M Law*, J Yuan , O Wong , S Yu , Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong |
| SU-L-205-5 | The MRI Radiomics Features Analysis of Hypoxia Target in Nasopharyngeal Carcinoma X Kong1* , T Li2.3 , Y Yin2 , (1) Wuxi Fourth People's Hospital (Affiliated Hospital, Jiangnan University), Wuxi, Jiangsu, (2) Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong, (3) University Of South China, Hengyang, Hunan. |
| TH-AB-DBRB-5 | Extended Shell Feature: Influence of Tumor Extension in Distant Metastasis Prediction for Non-Small Cell Lung Cancer H Hao1*, Z Zhou2 , S Li3 , M Folkert2 , L Yang4 , P Iyengar2 , K Westover2 , J Wang2 , (1) Xidian University, School of Computer Science and Technology, Xi'an, China, (2) UT Southwestern Medical Center, Radiation Oncology, Dallas, Texas, (3) Southern Medical University, Guangzhou, China, (4) China Academy of Chinese Medical Sciences, Beijing, China |
| TH-AB-DBRB-11 | Quantitative Image Features Extracted From Pre-Treatment Magnetic Resonance Images Predict Post-Chemoradiation Response for Patients with Local Advanced Rectal Cancer X Pan*, N Li , X Qi , UCLA School of Medicine, Los Angeles, CA |
| TU-AB-DBRB-6 | Could Radiomic Signature Developed From NSCLC Patients Predict Overall Survival of Patients with ALK+ Mutation? L Huang*, M Fan , W Hu , j wang , J Chen , X Xu , J Lu , G Qing , fudan university shanghai cancer center, Shanghai, shanghai |
| TU-C1030-GePD-F9-5 | Retrospective Analysis of 3-Dimensional Matching for SBRT of Pancreatic Cancer Patients Based On Bony Anatomy Vs. Soft-Tissue Alignment S Balyimez*, J Bogue , S Saraiya , D Elliottt , E Parsai , University of Toledo Medical Center, Toledo, OH |
| TU-D-202-6 | Testing and Characterization of An Automated, Cloud-Based Joint Commission Compliant PET Scanner Validation Program J Sunderland1*, C Bauer1 , R Beichel1 , M Lodge2 , R Muzic3 , J Nye4 , P Christian5 , L Burrell5 , L Zimmermann3 , M Czachowski6 , P Wojtylak3 , (1) University of Iowa, Iowa City, IA,(2) Johns Hopkins University, Baltimore, MD, (3) Case Western Reserve University, Cleveland, OH, (4) Emory Univ, Atlanta, GA, (5) University of Utah, Salt Lake City, UT, (6) Children's Hospital of Pittsburgh of UPMC, Pittsburgh, PA |
| TU-D-DBRB-2 | A Geometric Model Based On Acoustic Backscatter Coefficients to Assess Anisotropic Scattering in Phantoms and Skeletal Muscle A Santoso1*, Q Guerrero1 , I Rosado-Mendez1,2 , T Hall1 , (1) University of Wisconsin-Madison, Madison, WI (2) Instituto de Fisica, Universidad Nacional Autonoma de Mexico, Mexico City, Mexico |
| TU-D-DBRB-3 | Combined Morphologic and Metabolic Pipeline for Treatment Response Evaluation - a Pilot Study On Pancreatic Adenocarcinoma Patients Y Lao*, J David , A Torosian , W Yang , R Tuli , Cedars-Sinai Medical Center, Los Angeles, CA |
| TU-D-DBRB-4 | Optimization Strategies for Detecting Changes in Young Brain Tissue Microstructure Caused by Anesthetics: An Animal Model Study L Castaneda-Martinez1*, J Zagzebski2 , H Ikonomidou3 , T Hall2 , I Rosado-Mendez1,2 , (1) Instituto de Fisica, Universidad Nacional Autonoma de Mexico, CDMX, MEX, (2) Department of Medical Physics, University of Wisconsin, Madison, WI,USA, (3) Department of Neurology, University of Wisconsin, Madison, WI, USA |
| TU-D-DBRB-6 | Robustness of Lung Nodule Classification by Radiomic Texture Feature Across CT Acquisition and Reconstruction Parameters N Emaminejad*, J Hoffman , M Wahi-Anwar , G Kim , M Brown , M McNitt-Gray , David Geffen School of Medicine at UCLA, Los Angeles, CA |
| TU-I345-GePD-F8-3 | Impact of Scan Duration On CT Perfusion-Derived Tissue Volumes in Acute Ischemic Stroke Patients E Wright1*, L Hur1 , M Goyal2,3 , A Demchuk2 , B Menon2,3 , T Lee1 , (1) Medical Biophysics, University of Western Ontario, London, Ontario, Canada. (2) Radiology, Foothills Medical Center, Calgary, Alberta, Canada. (3) Clinical Neuroscience, Foothills Medical Center, Calgary, Alberta, Canada. |
| TU-K-202-2 | A Radiomics Nomogram Model to Preoperatively Predict Histologic Grade in Pancreatic Neuroendocrine Tumors P Yang*, L Xu , R Huang , Y Jiang , C Yang , Y Xue , T Niu , Zhejiang University, Hangzhou, Zhejiang |
| TU-K-202-5 | BEST IN PHYSICS (IMAGING): A Deep Learning Based Model Observer for Low-Contrast Object Detection Task in X-Ray Computed Tomography H Gong, L Yu , S Leng , C McCollough* , Mayo Clinic, Rochester, MN |
| TU-K-207-2 | Influence of Imaging Preset On Grayscale Texture Features of Ultrasound Carotid Plaque Images and Their Relationship to Serum Lipid Levels C Steffel*, J Stein , C Korcarz , O Okonkwo , C Mitchell , University of Wisconsin-Madison School of Medicine and Public Health, Madison, WI |
| TU-K-DBRB-3 | Application and Performance Evaluation of a Modified BM3D Denoising Method to Emphysema Scoring On Ultra-Low-Dose CT Images T Zhao*, J Hoffman , M McNitt-Gray , D Ruan , David Geffen School of Medicine at UCLA, Los Angeles, CA |
| TU-K-DBRB-5 | Simple Image Domain Denoising with An Adaptive Bilateral Filter Drastically Improves the Robustness of Quantitative Emphysema Scoring to Changes in Dose, Reconstruction Kernel, and Slice Thickness J Hoffman*, S Hsieh , G Kim , M Brown , J Goldin , M McNitt-Gray , David Geffen School of Medicine at UCLA, Los Angeles, CA |
| WE-AB-202-3 | Automatic Segmentation of Multiple Organs From ViewRay MR Images Using Deep Densely Connected CNN for MRI Guided Adaptive Radiotherapy Y Fu1*, T Mazur2 , S Liu3 , X Chang4 , Y Lu5 , H Li6 , P Parikh7 , D Yang8 , (1) Washington University in Saint Louis, St. Louis, MO, (2) Washington University in Saint Louis, St. Louis, MO, (3) Stanford university Scool of Medicine, Stanford, CA, (4) Washington University in Saint Louis, St. Louis, Missouri, (5) Medical College of Wisconsin, Brookfield, WI, (6) Washington University School of Medicine, St. Louis, MO, (7) Washington university School of Medicine, Saint Louis, MO, (8) Washington University in St Louis, St Louis, MO |
| WE-AB-202-4 | Complementary Value of MRI-Radiomics Features and Molecular Biomarkers in Glioblastoma to Predict Overall Survival F Tixier1*, H Um1 , D Bermudez2 , A Iyer1 , A Apte1 , J Deasy1 , I Mellinghoff3 , R Young2 , H Veeraraghavan1 , (1) Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York, NY, (2) Department of Radiology, Memorial Sloan Kettering Cancer Center, New York, New York, (3) Department of Neurology, Memorial Sloan Kettering Cancer Center, New York, NY |
| WE-AB-202-6 | Highly Accelerated Diffusion Tensor MRI Using An Artificial Neural Network E Aliotta1*, H Nourzadeh1 , K Moulin2 , D Ennis2 , (1) University of Virginia, Charlottesville, VA, (2) University of California, Los Angeles, Los Angeles, CA |
| WE-AB-202-8 | Preoperative Prediction of Early Recurrence in Intrahepatic Cholangiocarcinoma After Partial Hepatectomy L Xu*, P Yang , Y Jiang , Y Xue , C Yang , T Niu , Zhejiang University, Hangzhou, Zhejiang |
| WE-AB-202-9 | Quality Assessment and Repeatability Measurement On DCE-MRI-Derived Blood Volume in Individual Patients During a Clinical Trial M ARYAL*, C Lee , P Hawkins , C Chapman , A Eisbruch , M Mierzwa , Y Cao , University of Michigan, Ann Arbor, MI |
| WE-AB-KDBRC-7 | Comparison of Regional Lung Perfusion Response On Longitudinal MAA SPECT/CT in Lung Cancer Patients Treated with and Without Functional Lung Avoidance Radiation Therapy H Thomas 1*, J Zeng1 , H Lee2 , B Sasidharan3 , P Kinahan1 , R Miyaoka1 , H Vesselle1 , R Rengan1 , S Bowen1 , (1) University of Washington School of Medicine, Seattle, WA, (2) Duke University, Durham, North Carolina, (3) Christian Medical College Vellore, Vellore, Tamil Nadu |
| WE-AB-KDBRC-9 | Treatment Response Prediction Using Texture Features From Longitudinal Diffusion MRI in Sarcoma Patients Y Gao1*, C Gu1,2 , J Kim1 , M Cao1 , J Fu1, A Kalbasi1 , D Ruan1 , J Lewis1 , D Low1 , P Hu1 , Y Yang1 , (1) UCLA, Los Angeles, CA, (2) Xi'an Jiaotong University, Xi'an, Shaanxi, |
| WE-C1030-GePD-F5-1 | Can Radiomic Features Spatially Differentiate Tumor Compartments? J Paul*, Y Liao , A Templeton , J Chu , J Turian , Rush University Medical Center, Chicago, IL |
| WE-C1030-GePD-F5-2 | Distinguishing Myxomas From Myxofibrosarcomas Using Radiomic Features Extracted From T1 MRI H Li1*, T Martin-Carreras2* , K Cooper3 , J Yang4 , R Sebro5# , Y Fan6# , (1) University of Pennsylvania, Philadelphia, PA, (2) University of Pennsylvania, Philadelphia, PA, (3) University of Pennsylvania, Philadelphia, PA, (4) UT MD Anderson Cancer Center, Houston, TX, (5) University of Pennsylvania, Philadelphia, PA, (6) University of Pennsylvania, Philadelphia, Pennsylvania (*Li and Martin-Carreras share the first authorship, #Sebro and Fan share the last authorship) |
| WE-C1030-GePD-F5-4 | Machine-Learning-Based Classification of Low-Grade and High-Grade Glioblastoma Using Radiomic Features in Multiparametric MRI G Cui , J Jeong*, Y Lei , T Wang , X Dong , T Liu , W Curran , H Mao , X Yang , Emory University, Atlanta, GA |
| WE-C1030-GePD-F5-5 | The Impact of Multi-B-Value On Radiomic Features of MR Diffusion Weighted Imaging in Hepatocellular Carcinoma J Zhang*, Q Qiu , J Duan , Y Yin , Shandong Cancer Hospital Affiliated to Shandong University, Jinan, Shandong |
| WE-C930-GePD-F8-4 | Phosphorus-31 MRS Enhancement by Nuclear Overhauser Effect in Skeletal Muscle Shengwen Deng,b, Juan A Vasquez, a, Geoffrey D Clarke, a,c a. Dept of Radiology, bDiabetes Div, Dept of Medicine and b. Research Imaging Institute, University of Texas Health Science Center at San Antonio, San Antonio TX |
| WE-J-KDBRC-8 | Fast B0 Map of Cardiovascular Implantable Electronic Devices at Low Magnetic Fields X Wu*, C Robinson , P Cuculich , O Green , S Mutic , H Gach , Washington University School of Medicine, St. Louis, MO |