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| MO-C930-GePD-F8-1 | An Electronics Readout and Processing System for Small-Animal PET Scanner Based On Sigma Delta Modulation Circuit K Hu*, X Cheng , Y Zhong , Z Xiong , Y Shao , UT Southwestern Medical Center, Dallas, TX |
| MO-C930-GePD-F8-2 | Clinical Evaluation of Reconstruction Method and Reduced Effective Counts in Pediatric Brain PET N Shkumat*, R Vali, A Shammas, The Hospital for Sick Children, Toronto, ON. |
| MO-I345-GePD-F6-4 | Recursive Neural Network (RNN) Based Framework for Range and Dose Verification in Particle Therapy Z Li1 , H Peng1*, (1) ,Wuhan University, Wuhan, China |
| MO-K-SAN2-2 | BEST IN PHYSICS (MULTI-DISCIPLINARY): Predictive Capability of 18F-FDG PET/CT Imaging On Tumor Voxel Dose Response S Chen*, D Krauss , D Yan , William Beaumont Hospital, Royal Oak, MI |
| MO-K-SAN2-5 | An Encoder-Decoder Based Convolutional Neural Network (ED-CNN) for PET Image Response Prediction Using Pre-RT Information: A Feasibility of Oropharynx Cancer IMRT Y Chang1*, K Lafata2 , C Liu3 , C Wang4 , Y Cui5 , L Ren6 , X Li7 , Y Mowery8 , D Brizel9 , F Yin10 , (1) Duke University Medical Center, Durham, NC, (2) Duke University Medical Center, Durham, NC, (3) Duke Kunshan University, Suzhou, Jiangsu, (4) Duke University Medical Center, Durham, NC, (5) Duke University Medical Center, Durham, NC, (6) Duke University Medical Center, Cary, NC, (7) Duke University Medical Center, Durham, NC, (8) Duke University Medical Center, Durham, ,(9) Duke University Medical Center, Durham, ,(10) Duke University Medical Center, Durham, NC |
| PO-GePV-I-14 | Early Detection of Radiation-Induced Myocardial Injury Using 18F-FDG PET Imaging in Patients with Esophageal Cancer During Radiotherapy X Sha*, G Gong , Q Qiu , Y Yin , shandong cancer hospital, Jinan, 250117 |
| PO-GePV-I-17 | Predictive Value of PET SUV and Feature Changes in Radiotherapy for Non-Small Cell Lung Cancer C Ma*, Shandong Cancer Hospital Affiliated to Shandong University, Jinan, 37 |
| SU-I300-GePD-F5-4 | SUVmax Assessment in 68Ga-PSMA PET/CT Scan M Fallahpoor1 , N Vahidfar2 , F Kalantari3*, (1) Department of Nuclear Medicine, Vali-Asr Hospital, Tehran University of Medical Sciences, Tehran (2) Department of Nuclear Medicine, VAli-Asr Hospital, Tehran University of Medical Sciences, Tehran (3) UT Southwestern Medical Center, Dallas, TX |
| SU-I300-GePD-F5-5 | Treatment Assessment Using CT/PET and MRI for Therapies of Different Mechanisms of Action C Ma*, J Panetta , D Cvetkovic , X Chen , L Chen , Fox Chase Cancer Center, Philadelphia, PA |
| SU-I300-GePD-F5-6 | Lesion-Level Response Prediction From 18F-FDG PET/CT in Metastatic Melanoma Patients Treated with Immune Checkpoint Blockade D Huff1*, R Shah2 , A Weisman1 , L Zurbriggen3 , M Albertini3 , R Jeraj1,4 , (1) University of Wisconsin-Madison, Madison, WI, (2) North Memorial Healthcare, Robbinsdale, MN, (3) University of Wisconsin Carbone Cancer Center, Madison, WI, (4) University of Ljubljana, Ljubljana, Slovenia |
| SU-I430-GePD-F4-3 | Dosimetric Impact of Prolonged [Y-86]-NM600 PET/CT Imaging for Immunomodulatory Molecular Radiotherapy with [Y-90]-NM600 I Marsh1*, R Hernandez1 , M Turek1 , J Grudzinski1 , J Weichert1 , Z Morris1 , D Vail1 , B Bednarz1 , (1) University of Wisconsin - Madison, Madison, WI |
| SU-I430-GePD-F7-4 | Expanding a GPU-Based Monte Carlo Simulation Package for Proton Therapy Y Zhong*, X Cheng , K Hu , Z Xiong , Y Shao , UT Southwestern Medical Center, Dallas, TX |
| SU-KL-304-2 | MRI-Based Attenuation Correction for Brain PET/MRI Based On Anatomic Signature and Machine Learning T Wang*, Y Lei , X Dong , K Higgins , T Liu , H Shim , W Curran , H Mao , J Nye , X Yang , Emory Univ, Atlanta, GA |
| SU-KL-304-5 | Automated Assessment of 68Ga-PSMA PET/CT Images of Metastatic Prostate Cancer Using Quantitative Total Bone Imaging T Perk1*, G Liu1, G Starbuck1, R Francis2, M Ebert2, R Jeraj1,3, (1) University of Wisconsin-Madison, Madison, WI, (2) The University of Western Australia, Nedlands, (3) University of Ljubljana, Ljubljana, Slovenia |
| SU-KL-304-7 | Hybrid Positron Emission Tomography (PET) Detector: A Feasibility Study with Monte Carlo Simulation Z Xiong*, Y Zhong , X Cheng , K Hu , Y Shao , UT Southwestern Medical Center, Dallas, TX |
| SU-KL-304-8 | Simulation Study of An All-Side Readout Scheme for Continuous Scintillator Based PET Detector X Cheng*, K Hu , Y Zhong , Z Xiong , Y Shao , UT Southwestern Medical Center, Dallas, TX |
| SU-KL-304-9 | Validation of a Non Invasive Positron Detector for Use with Dynamic PET Under Clinical Conditions L Carroll1*, G KERTZSCHER2 , E Croteau3 , O Sarrhini4 , R Lecomte5 , S Abbasi Nejad Enger6 , (1) McGill University, Montreal, QC, (2) Aarhus University Hospital, Aarhus, ,(3) Sherbrooke University, Sherbrooke, ,(4) Sherbrooke University, Sherbrooke, ,(5) Sherbrooke University, Sherbrooke, ,(6) McGill University, Montreal, QC |
| SU-KL-304-10 | Y-90 PET/CT with Long Axial Field-Of-View Digital Detectors C Beijst1*, B Lopez2 , H de Jong1 , S Kappadath2 , (1) University Medical Center Utrecht, Utrecht (2) University of Texas MD Anderson Cancer Center, Houston, TX |
| SU-L-221AB-1 | Effect of Uncertainties in 18F-FDG PET/CT Imaging Feedback On Treatment Response Assessment and Dose Painting S Chen*, J Liang , A Qin , D Krauss , D Yan , William Beaumont Hospital, Royal Oak, MI |
| SU-L-221AB-6 | Deep Learning to Predict Dosimetric Metabolic Response Map Using Longitudinal 18F-FDG PET/CT Images for Pancreatic Cancer Patients Y Yue1*, K Huang1 , P Maxim1 , S Ellsworth1 , R Tuli2 , (1) Indiana University- School of Medicine, Indianapolis, IN(2) Memorial Sloan-Kettering Cancer Center, New York, NY |
| TH-A-SAN2-2 | Prediction of MGMT Status for Newly Diagnosed Glioblastoma Patients Using Radiomics Feature Extraction From 18F-DOPA PET Imaging J Qian*, M Herman , D Brinkmann , N Laack , P Korfiatis , B Kemp , C Hunt , V Lowe , D Pafundi , Mayo Clinic, Rochester, MN |
| TH-C-SAN2-1 | Harmonizing Imaging Protocols: Impact On Radiomics Survival Prediction in Large Patient Cohorts R Ger*, S Zhou , D Mackin , H Elhalawani , B Elgohari , J Meier , C Fuller , R Howell , R Layman , H Li , O Mawlawi , R Stafford , L Court , UT MD Anderson Cancer Center, Houston, TX |
| TH-C-SAN2-3 | Dose-Specific PET Image-Based Outcome Prediction: A Deep Learning Study for Oropharyngeal Cancer IMRT Application C Liu*, C Wang , K Lafata , Y Chang , Y Cui , F Yin , Duke University Medical Center, Durham, NC |
| TU-AB-225BCD-6 | Molecular Image-Directed Bone Biopsies in Metastatic Prostate Cancer Patients A Roth1*, S Harmon1 , T Perk1 , M Tuite1 , S Tomlins2 , G Liu1 , R Jeraj1,3 , (1) University of Wisconsin-Madison, Madison, WI, (2) University of Michigan, Ann Arbor, MI, (3) University of Ljubljana, Ljubljana, Slovenia |
| TU-C1030-GePD-F6-2 | Differentiation Among Non-Small Cell Lung Cancer Subtypes Using Quantitative Radiomic Features of 18F-FDG PET/CT X Sha1*, G Gong2 , Q Qiu3 , Y Yin4 , (1) shandong cancer hospital, Jinan, 250117, (2) ,Jinan, ,(3) ,Jinan, ,(4) shandong cancer hospital, Jinan, |
| TU-L-304-1 | Test-Retest Repeatability of 18F-FET PET in Small Volumes P Ferjancic1*, MA Ebert2,3, AK Nowak2,3, RJ Francis2,3, R Jeraj1,4, (1) University of Wisconsin, Madison, WI, (2) The University of Western Australia, Nedlands, Australia, (3) Sir Charles Gairdner Hospital, Perth, Australia, (4) University of Ljubljana, Ljubljana, Slovenia |
| WE-AB-225BCD-4 | Convolutional Neural Network for Centroiding and Depth-Of-Interaction Localization in PET A LaBella*, W Zhao , AH Goldan , Stony Brook University, Stony Brook, NY |
| WE-AB-225BCD-6 | Intra-Treatment 18F-FDG PET/CT Radiomic Signature Predicts In-Field Recurrence Following Definitive Chemo-Radiation Therapy for Oropharyngeal Cancer K Lafata*, Y Chang , C Wang , Y Mowery , D Brizel , F Yin , Duke University Medical Center, Durham, NC |
| WE-FG-304-6 | Quantification of Local Metabolic Tumor Volume Changes by Registering Blended 18F-FDG PET/CT Images for Prediction of Pathologic Tumor Response S Riyahi1*, W Choi2 , C Liu3 , S Nadeem1 , S Tan5 , H Zhong6 , W Chen7 , A Wu1 , J Mechalakos1 , J Deasy1 , W Lu1 , (1) Memorial Sloan Kettering Cancer Center, New York, NY, (2) University of Virginia, Charlottesville, VA, (3) National Taiwan University Hospital Yunlin Branch, Yunlin, (5) Huazhong University of Science & Technology, Wuhan, (6) Medical College of Wisconsin, Milwaukee, WI, (7) University of Maryland School of Medicine, Baltimore, MD |
| WE-FG-304-7 | Automated Quantification of Lymphoma On FDG PET/CT Images Using Cascaded Convolutional Neural Networks A Weisman1*, M Kieler1 , S Perlman1 , R Jeraj1,2 , M Hutchings3 , L Kostakoglu4 , T Bradshaw1 , (1) University of Wisconsin-Madison, Madison, WI, (2) Faculty of Mathematics and Physics, Ljubljana, Slovenia, (3) Rigshospitalet, Copenhagen, Denmark, (4) Mount Sinai Medical Center, New York, NY |
| WE-FG-304-8 | Automated Registration-Based Longitudinal Lesion Matching On PET/CT V Santoro-Fernandes1*, D Huff1 , M Albertini2 , R Jeraj1,2,3 , (1) University of Wisconsin-Madison, Madison, WI, (2) University of Wisconsin Carbone Cancer Center, Madison, WI, (3) University of Ljubljana, Ljubljana, Slovenia |
