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| BReP-SNAP-T-18 | A Three-Dimensional Electronic Detector Array for Dose Verification in Radiotherapy: Proof of Product D Roa1, R Challco2*, Z Arqque3, O Paucar4, C GUZMAN CALCINA5, A Gonzales6, A Gonzales Galvez7, M Montoya8, J Hernandez-Bello9, (1) University Of California, Irvine, Orange, CA, (2) Universidad Nacional de Ingenieria, Lima, ,PE, (3) Universidad San Antonio Abad, Cuzco, ,PE, (4) Universidad Nacional de Ingenieria, Lima, ,PE, (5) Universidad Nacional Federico Villarreal, Lima, ,PE, (6) Universidad Nacional de Ingenieria, Lima, ,PE, (7) Aliada Contra El Cancer, Lima, ,PE, (8) Universidad Nacional de Ingenieria, Lima, ,PE, (9) HRS Oncology International, Las Vegas, NV |
| BReP-SNAP-T-129 | Three Dimensional Dose Prediction in Proton Therapy Using Artificial Neural Networks F Pirlepesov*, V Moskvin, L Wilson, A Breuer, T Merchant, A Faught, St. Jude Children's Research Hospital, Memphis, TN |
| PO-GeP-I-1 | 3D Dose Reconstruction Using An In-House Radioluminescence Imaging System M jia*, L Wang, Y Yang, L Xing, X Li, Stanford University, Stanford, CA |
| PO-GeP-I-207 | The Design and Fabrication of a Dynamic Anthropomorphic Thorax Phantom Z Xu1*, Z Sun1, X Shi2, C Lin3, W Lu1, W Lu1, J Qiu1, L Shi1, (1) Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, CN, (2) Shengli College, China university of petroleum, Dongying, CN, (3) Taian Disabled soldiers' Hospital of Shandong Province, Taian, CN |
| PO-GeP-I-229 | Validation of a Novel 3D Printed Contrast-Detail Phantom for Cardiac Nuclear Medicine S Green*, J Grice, Vanderbilt University Medical Center, Nashville, TN |
| PO-GeP-M-56 | An IGRT Safety Check: Automated T12 Vertebra Detection in CT and CBCT Y Xie1*, G Sharp2, D Gierga3, T Hong4, T Bortfeld5, K Kang6, (1) Massachusetts General Hospital, Boston, MA, (2) Massachusetts General Hospital, Boston, MA, (3) Massachusetts General Hospital, Boston, MA, (4) Massachusetts General Hospital, Boston, MA, (5) Massachusetts General Hospital, Boston, MA, (6) Bio-tree System, Inc., |
| 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 Dai1*, X Wang2, H Jin3, C Cai4, S Zhao5, Y Zhu6, Y Chen7, (1) The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, CN, (2) The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong, CN, (3) The Second Affiliated Hospital Of Guangzhou University Of Chinese Medicine, Guangzhou, Guangdong, CN, (4) The Second Affiliated Hospital Of Guangzhou University Of Chinese Medicine, Guangzhou, Guangdong, AF, (5) The Second Affiliated Hospital Of Guangzhou University Of Chinese Medicine, Guangzhou, Guangdong, CN, (6) The Second Affiliated Hospital Of Guangzhou University Of Chinese Medicine, Guangzhou, Guangdong, CN, (7) The Second Affiliated Hospital Of Guangzhou University Of Chinese Medicine, Guangzhou, Guangdong, CN |
| PO-GeP-M-136 | Deep Learning Prediction of Radiotherapy Treatment Machine Parameters L Hibbard1*, (1) Elekta, Inc, St. Charles, MO |
| PO-GeP-M-187 | Establishing a Routine Clinical Dose Verification Workflow Utilizing CBCT Imaging and Log Files G Kuzmin*, P Xia, P Qi, The Cleveland Clinic Foundation, Cleveland, OH |
| 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 Xie1*, K Kang2, Y Wang3, F Keane4, M Khandekar5, H Willers6, T Bortfeld7, (1) Massachusetts General Hospital, Boston, MA, (2) Bio-tree System, Inc., ,,(3) Massachusetts General Hospital, Boston, MA, (4) Massachusetts General Hospital, ,,(5) Massachusetts General Hospital, ,,(6) Massachusetts General Hospital, Boston, MA, (7) Massachusetts General Hospital, Boston, MA |
| PO-GeP-M-304 | Multi-Modality Brain Tumor Segmentation Using a Modified Cascaded 3D U-Net for Imbalanced Classes W Kong1*, D Li1, YM Yang2, (1) Shandong Normal University, Jinan, 37, CN, (2) UCLA, Los Angeles, CA |
| PO-GeP-M-380 | Simplifying 3D Bolus Creation Using 3D Slicer P Koistinen1*, M Koistinen2, (1) Univerisity of Rhode Island, Millis, MA, (2) CHEM Center for Rad Oncology, Millis, MA |
| PO-GeP-T-3 | 3D-Printed Headrest for Frameless Gamma Knife Radiosurgery: Design and Validation G Baltz*, T Briere, D Luo, R Howell, S Krafft, E Han, MD Anderson Cancer Ctr., Houston, TX |
| PO-GeP-T-39 | A New Mathematical Modeling Method Designed for Individual Template in Interstitial Brachytherapy S Wang1*, X Fan2, Y Peng3, R Zhang4, M Miao5, Z Chi6, (1) 4th hospital of Hebei Medical University, Shijiazhuang, HeBei, CN, (2) 4th hospital of Hebei Medical University, Shijiazhuang, HeBei, CN,(3)Sun Yat-sen University Cancer Center ,Guangzhou, CN, (4) 4th hospital of Hebei Medical University, Shijiazhuang, HeBei, CN,(5) 4th hospital of Hebei Medical University, Shijiazhuang, HeBei, CN,(6) 4th hospital of Hebei Medical University, Shijiazhuang, HeBei, CN, |
| PO-GeP-T-54 | A Novel Use of 3D-Printed Template in Vaginal HDR Brachytherapy Y Liao*, P Barry, K Tatebe, D Wang, J Turian, Rush University Medical Center, Chicago, IL |
| PO-GeP-T-58 | A Phantom Study to Compare 3D-Printed and Traditionally Hand-Made Boluses in Radiotherapy for Head and Neck Cancer M Wong*, FKH Lee, T Lee, G Ng, T Chung, M Lam, K Ma, V Cheung, Queen Elizabeth Hospital, Hong Kong SAR |
| PO-GeP-T-82 | Acquisition of 3D Dose Distribution for Helical Tomotherapy S Lim1*, (1) Kosin University Gospel Hospital, Kosin University College of Medicine, Seo-gu, BUSAN, KR |
| PO-GeP-T-158 | BolusVisionOnline: 3D Soft Bolus Printing Utilizing Eclipse Scripting API (ESAPI) J Tan*, T Chiu, S Jiang, UT Southwestern Medical Center, Dallas, TX |
| PO-GeP-T-261 | Design and Testing of An Active Matrix Pixel, Data Acquisition and Microcontroller System for Dosimetric Measurements D Roa1*, R Challco2, Z Arqque3, O Paucar4, C GUZMAN CALCINA5, A Gonzales Galvez6, A Gonzales7, M Montoya8, J Hernandez-Bello9, (1) University Of California, Irvine, Orange, CA, (2) Universidad Nacional de Ingenieria, Lima, Peru, (3) Universidad San Antonio Abad, Cuzco, Peru (4) Universidad Nacional de Ingenieria, Lima, Peru, (5) Universidad Nacional Federico Villarreal, Lima, Peru, (6) Clinica Aliada Contra El Cancer, Lima, Peru (7) Universidad Nacional de Ingenieria, Lima, Peru, (8) Universidad Nacional de Ingenieria, Lima, Peru, (9) HRS Oncology International, Las Vegas, NV |
| PO-GeP-T-263 | Design of Custom, 3D-Printed Surface Brachytherapy Applicators K Chytyk-Praznik1-3*, P Oliver1, J Allan1, L Best2, J Robar1-3, (1) Nova Scotia Health Authority, Department of Medical Physics, (2) Dalhousie University, Department of Radiation Oncology, (3) Dalhousie University, Department of Physics and Atmospheric Science, Halifax, NS, CA |
| PO-GeP-T-303 | Development of the Scintillator Imaging System for the Measurement of the Dose Volume with High-Sampling Rate M Tsuneda1*, T Nishio1, T Ezura2, K Karasawa1, (1) Tokyo Women's Medical University, Shinjuku-ku, Tokyo, JP, (2) Kanagawa Cancer Center, Yokohama, Kanagawa, JP |
| PO-GeP-T-447 | Feasibility of End-To-End Quality Assurance of FSRT Brain Treatments Using An In-House Developed Anthropomorphic Head Phantom KM Alexander1, K Dekker1, T Olding1,2, LJ Schreiner2*, (1) Cancer Centre Of Southeastern Ontario At Kingston Health Sciences Centre, Kingston, ON, CA, (2) Queen's University, Kingston, ON, CA |
| PO-GeP-T-455 | Feasibility Study of 3D-Printed Scintillation Detector for Quality Assurance K Yasui1*, Y Saito2, M Terakura3, S Ogawa3, M Ichihara3, N Hayashi1, (1) Fujita Health University, Toyoake, Japan, (2) Fujita Health University Hospital, Toyoake, Japan, (3) Graduate school of Health Sciences, Fujita Health University, Toyoake, Japan |
| PO-GeP-T-655 | Predictive Gamma Passing Rate of 3D Array Detector-Based VMAT QA Via Deep Learning Combining Dose Distribution and Accumulated Dose Uncertainty Potential Distribution T Matsuura1,2*, D Kawahara2, A Saito3, E Shiba4, K Yamada1, S Ozawa1,2, Y Nagata1,2, (1) Hiroshima High-precision Radiotherapy Cancer Center, JP, (2) Hiroshima University, JP, (3) Hiroshima University Hospital, JP, (4) University of Occupational and Environmental Health, JP |
| PO-GeP-T-691 | Rapid Delivery of GRID Therapy for Deep-Seated Bulky Tumors: A Novel 3D MLC-Based Forward Planning Treatment Technique Via 10MV-FFF Beam D Pokhrel*, L Critchfield, M Halfman, M Bernard, W St Clair, M Randall, M Kudrimoti, University of Kentucky, Lexington, KY |
| PO-GeP-T-762 | The Development of a Multi-Material 3D Printed Brachytherapy Training Phantom for Enhanced Resident Training S Campelo1*, E Subashi2, Z Chang3, S Meltsner3, J Chino3, O Craciunescu3, (1) Duke Medical Physics Graduate Program, Durham, NC, (2) Memorial Sloan Kettering Cancer Center, New York, NY, (3) Duke University Medical Center, Durham, NC |
| PO-GeP-T-793 | Three-Dimensional Dose Verification Using a Stacked Radiochromic Film Dosimeter K Liu*, Y Wang, O Dona, J Adamovics, C Wuu, Department of Radiation Oncology, Columbia University Irving Medical Center, New York, NY, USA, New York, NY |
| PO-GeP-T-794 | Three-Dimensional Isocenter Verification for Real-Time Tumor-Tracking Radiotherapy System Using a Reusable PVA-I Radiochromic Gel Dosimeter K Ono1*, T Sera2, T Shiinoki3, S Hayashi4, K Fujino1, Y Akagi1, Y Hirokawa1, (1) Hiroshima Heiwa Clinic, Hiroshima, Japan, (2) Yamaguchi University Hospital, Yamaguchi, Japan, (3) Yamaguchi University, Yamaguchi, Japan, (4) Hiroshima International University, Hiroshima, Japan |
| TH-D-TRACK 6-1 | An Integrated Quality Assurance Phantom for Frameless Single-Isocenter Multitarget Stereotactic Radiosurgery: A Multi-Institutional Trial D Capaldi1*, T Nano2, L Skinner3, C Chuang4, P Dubrowski5, L Xing6, A Yu7, (1) Stanford University, Stanford, CA, (2) University of California, San Franisco, San Francisco, CA, (3) Stanford University Cancer Center, Stanford, CA, (4) Stanford, Stanford, CA, (5) Stanford University, San Jose, CA, (6) Stanford Univ School of Medicine, Stanford, CA, (7) Stanford University Cancer Center, Stanford, CA |
| WE-E-TRACK 2-2 | From CT Scans to 3D Prints: Feasibility of 3D Printing CT Radiomic Phantoms for Standardization and Validation of Quantitative CT Measurements U Mahmood1*, A Apte1, C Kanan2, D Bates1, G Corrias1, L Mannelli1, J Oh1, Y Erdi1, J Deasy1, A Dave1, (1) Memorial Sloan Kettering Cancer Center, (2) Rochester Institute Of Technology |
| WE-E-TRACK 5-0 | End to End (E2E) Testing in Radiation Therapy L Schreiner1*, M Oldham2*, (1) Queen's University, Kingston, ON, CA, (2) Duke University Medical Center, Durham, NC |
| WE-E-TRACK 5-1 | Introduction to End-to-End (E2E) QA: Evidence of Its Benefits and Practical Considerations Implementing In-House E2E QA in the Clinic L Schreiner1*, M Oldham2*, (1) Queen's University, Kingston, ON, CA, (2) Duke University Medical Center, Durham, NC |
| WE-E-TRACK 5-2 | Implementing clinical and pre-clinical E2E QA L Schreiner1*, M Oldham2*, (1) Queen's University, Kingston, ON, CA, (2) Duke University Medical Center, Durham, NC |