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MO-B-TRACK 6-7 | Use of Short Duration Dynamic [18F]DCFPyL PET and CT Perfusion Imaging to Localize Dominant Intraprostatic Lesions in Prostate Cancer: Validation Against Digital Histopathology D Yang1,2,3*, R Alfano4, G Bauman3,4, J Chin3,4, S Pautler3,4, K Chung2,3, A Ward4, T Lee2,3, (1) Fox Chase Cancer Center, Philadelphia, PA, (2) Robarts Research Institute, University of Western Ontario, London, ON, CA, (3) Lawson Imaging Research Program, Lawson Health Research Institute, London Health Science Centre, London, ON, CA, (4) London Regional Cancer Program, London Health Science Centre, London, ON, CA |
PO-GePV-M-8 | A 3D Multi-Modality Lung Tumor Segmentation Method Based On Deep Learning S Wang1*, L Yuan2, E Weiss3, R Mahon4, (1) Virginia Commonwealth University, Richmond, VA, (2) Virginia Commonwealth University Medical Center, Richmond, VA, (3) Virginia Commonwealth University, Richmond, VA, (4) Washington University in St. Louis, St. Louis, MO |
PO-GePV-M-53 | Multi-Modality (PET/CT) Radiomics Based Recurrence Prediction in Head and Neck Cancers Prior to Radiotherapy M Schelin*, R Sheu, R Bakst, J Junn, Y Yuan, The Mount Sinai Hospital, New York, NY |
SU-C-TRACK 4-0 | Novel Imaging Technologies for Motion Management in Radiotherapy W Yang1*, L Ren2*, T Pan3*, (1) Keck School of Medicine of USC, Los Angeles, CA, (2) University of Maryland, Baltimore, MD, (3) UT MD Anderson Cancer Center, Houston, TX |
SU-C-TRACK 6-4 | Longitudinal PET/CT Imaging of 64Cu for Radiopharmaceutical Therapy Dosimetry M Merrick*, L Dunnwald, A Tiwari, J Sunderland, S Graves, University Of Iowa, Iowa City, IA |
TH-D-TRACK 3-2 | Automated Tumor Localization and Segmentation Through Hybrid Neural Network in Head & Neck Cancer A Qasem1*, Z Zhou2, (1) ,Warrensburg, MO, (2) University of Central Missouri, Warrensburg, MISSOURI |
TU-EF-TRACK 4-1 | An Imaging Based Biological Framework for Personalizing Radiation Therapy of Lung Cancer Using Interpretable Bayesian Networks and NTCP-Based Treatment Planning A Ajdari1*, T Bortfeld2, (1) Harvard Medical School & Massachusetts General Hospital, Boston, MA, (2) Massachusetts General Hospital, Boston, MA |
TU-EF-TRACK 4-3 | Biologically Guided Deep Learning for Post-Radiation PET Image Outcome Prediction: A Feasibility Study of Oropharyngeal Cancer Application C Wang1*, H Ji2, A Bertozzi2, D Brizel1, Y Mowery1, F Yin1, K Lafata1, (1) Duke University Medical Center, Durham, NC, (2) University of California, Los Angeles, Los Angeles, CA |
TU-IePD-TRACK 1-1 | Development of An Automated Analysis Software for Daily CT QA A Hart1*, A Watkins2, M Bazalova-Carter1, C Uribe3,4, (1) University of Victoria, Victoria, BC, CA, (2) Simon Fraser University, Burnaby, BC, CA, (3) University of British Columbia, Vancouver, BC, CA, (4) BC Cancer, Vancouver, BC, CA |
WE-F-TRACK 6-3 | Changes in Post-Treatment Cardiac PET Avidity Predict Overall Survival in Lung Cancer Patients Treated with Chemoradiation T Santangelo1*, F Forghani1, C Rusthoven1, R Castillo2, E Castillo3, B Jones1, T Guerrero3, Y Vinogradskiy1, (1) University of Colorado, Denver, CO, (2) Emory Univ, Atlanta, GA, (3) Beaumont Health Research Institute, Houston, TX |
WE-IePD-TRACK 2-1 | Patient-Specific Estimates of Absorbed and Effective Dose in Pediatric 18FDG PET/CT Imaging Studies R Nosrati1,2*, C Kofler3, B Sexton-stallone2, R MacDougall4, W Bolch3, F Fahey1,2, (1) Harvard Medical School, Boston, MA, (2) Children's Hospital, Boston, MA, (3) University of Florida, Gainesville, Florida,(4) Canon Medical Systems USA, Tustin, CA |
WE-IePD-TRACK 2-4 | Monte Carlo Study on PET Imaging Used as An Image-Guidance Tool in Very High-Energy Electron Therapy A Bonfrate1,2*, R M Jones1,2, (1) University of Manchester, Manchester, UK, (2) Cockcroft Institute, Warrington, UK |
WE-IePD-TRACK 2-5 | Predicting Breast Cancer Hormone Receptor Status with PET/MR Images Using Dual-Input Deep Convolutional Neural Network (DCNN) S Choi1*, H Cho2, C Lee2, E Kong3, (1) Electronics and Telecommunications Research Institute (ETRI), Yuseong-gu, Daejeon, KR, (2) Korea Research Institute of Standards and Science (KRISS), Daejeon, KR, (2) Korea Research Institute of Standards and Science (KRISS), Daejeon, KR, (3) Yeungnam University Medical School And Hospital |
WE-IePD-TRACK 3-5 | Positron Emission Tomography (PET) Characterization for Biology-Guided Radiotherapy (BgRT) Z Hu1*, M Narayanan1, V Ferri2, A Iagaru2, N Kovalchuk3, B Han3, L Xing3, L Vitzthum3, P Olcott1, M Bieniosek1, T Laurence1, S Shirvani1, D Chang3, M Surucu3, (1) Reflexion Medical, Inc., Hayward, CA (2) Stanford University School Of Medicine, Department of Radiology, Stanford, CA, (3) Stanford University School of Medicine, Department of Radiation Oncology, Stanford, CA |