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Keywords: Optimization
| MO-A-TRACK 2-0 | MR Protocol Basics: Brain, Spine and Prostate P Hou1*, T Andrews2*, Q Yuan3*, H Liu4*, (1) UT MD Anderson Cancer Center, Houston, TX, (2) Washington University at St Louis, Saint Louis, MO, (3) UT Southwestern Medical Center, Dallas, TX, (4) UT MD Anderson Cancer Center, Houston, TX |
| MO-IePD-TRACK 1-1 | Using Exposure Index to Develop Thickness-Based Techniques for the Skull Views of a Pediatric Skeletal Survey X Li1*, K Hulme1, E Park1, (1) Imaging Institute, Cleveland Clinic, Cleveland, OH |
| MO-IePD-TRACK 1-2 | Development of a Size-Based Technique Chart for Portable Chest Images to Reduce Variability in Image Quality J Moroz*, M Hoerner, K Grizzard, Yale New Haven Health, New Haven, CT |
| MO-IePD-TRACK 3-2 | Dosimetric Benefits of MR Guided Adaptive Radiation Therapy A Sethi*, S Hoffman, J Ingram, B Lee, J Roeske, T Refaat, Loyola University Medical Center, Maywood, IL |
| MO-IePD-TRACK 5-2 | Solving the Non-Convex Volumetric Modulated Arc Therapy (VMAT) Problem Via a Sequence of Convex Optimization Problems P Dursun*, G Jhanwar, J Deasy, M Zarepisheh, Memorial Sloan Kettering Cancer Center, New York, NY |
| MO-IePD-TRACK 6-6 | Optimal Combination of Spatial and Temporal Fractionation for the Treatment of Multiple Brain Metastases N Torelli1*, D Papp2, J Unkelbach1, (1) University Hospital Zurich, Zurich, ZH, CH, (2) North Carolina State University, Raleigh, NC |
| MO-IePD-TRACK 6-7 | Effective Organs-At-Risk Dose Sparing in Volumetric Modulated Arc Therapy Using a Half-Beam Technique in Whole Pelvic Irradiation H Park1*, J Park2,3, M Artz2,3, Y Zhang2,3, J Ricci4, H Jang5, S Huh2,3, (1) Ajou University School of Medicine, Suwon, South Korea, (2) University of Florida College of Medicine, Gainesville, FL, (3) University of Florida Health Proton Therapy Institute, Jacksonville, FL, (4) Orlando Health UF Health Cancer Center, Orlando, FL, (5) Dongguk University College Of Medicine, Gyeongju, South Korea |
| PO-GePV-I-8 | Fast T1 Mapping Optimization: A Phantom Study Z Razi1*, Z Zhang2, Z Mullaghy1, A Lloyd3, H Liu1, M Arreola1, (1) University of Florida, Gainesville, FL, (2) Washington University School of Medicine, Saint Louis, MO (3) University of Florida Health, Gainesville, FL |
| PO-GePV-M-30 | Low-Dose CT Images Denoising Integrating Machine Learning and Optimization Q Xu*, Q Lyu, K Sheng, UCLA School of Medicine, Los Angeles, CA |
| PO-GePV-M-207 | Introduction of Automation in Radiation Treatment Plan Assignment and Daily Monitoring J Beaudry, E Pinto, C Czmielewski, N Stein, B Leong, S Shen, C Della-Biancia, G Niyazov, L Cervino, A Damato*, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-T-10 | Dose Optimization of Vaginal Cylinder: A New Planning Method for Patients with Endometrial Adenocarcinoma X Wu*, A Mcdonald, S Shen, S Marcrom, R Kim, University of Alabama Birmingham, Birmingham, AL |
| PO-GePV-T-41 | Development of a Software Tool for FLASH Dose and Dose Rate Optimization for IntraOp Mobetron A Ayan*, D Blakaj, A Chakravarti, N Gupta, J Woollard, Ohio State Univ, Dublin, OH |
| PO-GePV-T-198 | Dosimetric Evaluation of Prostate VMAT Plans Optimized by the Photon and Progressive Resolution Optimization Algorithm J Chow1*, R Jiang2, K Mamaril3, (1) Princess Margaret Cancer Centre, Toronto, ON, CA, (2) Grand River Hospital, Kitchener, ON, CA, (3) Ryerson University, Toronto, ON, CA. |
| PO-GePV-T-201 | Automated and Clinical-Criteria-Driven Planning for Locally Advanced Non-Small-Cell Lung Cancer Using the Expedited Constrained Hierarchical Optimization (ECHO) System Q Huang, L Hong, Y Zhou*, G Jhanwar, J Yang, H Pham, E Yorke, L Cervino, J Deasy, M Zarepisheh, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-T-206 | Using a Novel Leaf Sequencer and Segment Shape Optimization Algorithm to Reduce Treatment Session Times On the Elekta Unity J Snyder*, J St-Aubin, S Yaddanapudi, S Strand, S Kruger, R Flynn, D Hyer, University of Iowa Hospitals and Clinics, Iowa City, IA |
| PO-GePV-T-209 | An Evaluation of Complex Plan Quality Using RayStation’s Collapsed Cone Convolution (CCC) Algorithm as a Function of Differing Hardware Given a Time Constraint E DeLuca*, N Sperling, University of Toledo Medical Center, Sylvania, OH |
| PO-GePV-T-212 | Evaluation of Elekta Unity IMRT Beam Complexity Using a Novel Leaf Sequencer and Shape Optimizer in the Monaco Treatment Planning System J St-Aubin*, J Snyder, S Yaddanapudi, R Flynn, D Hyer, University of Iowa Hospitals and Clinics, Iowa City, IA |
| PO-GePV-T-213 | Sub-Segmentation of Laryngopharynx Whole-Mean Dose Constraints for Reducing Intra-Organ Dose Variability C Sample1*, H Clark2, (1) British Columbia Cancer Agency, Vancouver, BC, CA, (2) British Columbia Cancer Agency, Surrey, BC, CA |
| PO-GePV-T-228 | Evaluation of a Scripted Planning Technique in Lung SBRT J Donaghue1*, S Gajdos2, L Muhieddine Mossolly3, (1) Cleveland Clinic Fairview, Cleveland, OH, (2) Cleveland Clinic Akron General, Akron, OH, (3) Cleveland Clinic, Strongsville, OH |
| PO-GePV-T-266 | Automated and Clinical-Criteria-Driven IMRT Planning for Prostate Using Expedited Constrained Hierarchical Optimization (ECHO) Y Zhou*, L Hong, Q Huang, G Jhanwar, J Yang, H Pham, L Happersett, A Damato, L Cervino, J Deasy, M Zarepisheh, Memorial Sloan Kettering Cancer Center, New York, NY |
| PO-GePV-T-268 | Evaluation of Initial Planning Techniques in Ethos for Adaptive Head and Neck Patients N Nasser1,2*, J Caudell2, E Moros2, V Feygelman2, G Redler2, (1) University of South Florida, Tampa, FL, (2) H. Lee Moffitt Cancer Center, Tampa, FL |
| PO-GePV-T-276 | Determining the Optimal Assigned Density for Various High-Density Prostheses Calculated with AcurosXB and AAA H Genco*, S de Boer, Roswell Park Comprehensive Cancer Center, Buffalo, NY |
| PO-GePV-T-281 | Solving Beam Orientation Optimization (BOO) of IMRT Treatment Plan Using Tree Embedded Reinforcement Learning for Prostate Cancer A Sadeghnejad Barkousaraie*, A Balagopal, G Bohara, S Jiang, D Nguyen, UT Southwestern Medical Center, Dallas, TX |
| PO-GePV-T-284 | Feasibility Study of a Novel and Efficient Treatment Planning Technique for Total Body Irradiation and Total Marrow Irradiation On Conventional Linacs C Han*, S Dandapani, J Wong, A Liu, City of Hope Medical Center, Duarte, CA |
| PO-GePV-T-393 | Optimizing Isocenter Placement Based On Rotational Uncertainty in Single-Isocenter SRS C Baley*, N Kirby, S Stathakis, N Papanikolaou, P Myers, K Rasmussen, D Saenz, UT Health San Antonio MD Anderson Cancer Center, San Antonio, Texas |
| PO-GePV-T-409 | A Trajectory Sampling Metric for the Optimization of Dose Distributions in Radiosurgery R MacDonald1*, J Lincoln2, C Church2, A Syme1235, C Thomas12345,(1) Department of Medical Physics, Nova Scotia Health Authority (2) Department of Physics and Atmospheric Science, Dalhousie University (3) Department of Radiation Oncology, Dalhousie University (4) Department of Radiology, Dalhousie University (5) Beatrice Hunter Cancer Research Institute |
| SU-F-TRACK 5-1 | A Hierarchical Optimization Framework for Gamma Knife Treatment Planning M Chen*, Z Yang, Z Wardak, X Gu, W Lu, UT Southwestern Medical Center, Dallas, TX |
| SU-F-TRACK 5-2 | Assessing the Practicality of Using a Single KBP Model for Multiple Linac Vendors R Douglas*, A Olanrewaju, L Zhang, L Court, University of Texas MD Anderson Cancer Center, Houston, TX |
| TH-AB-TRACK 4-0 | Task-Based Image Quality Optimization and Assessment in Diagnostic Imaging and Radiation Therapy C Abbey1*, M Anastasio2*, M Kupinski3*, (1) University of California - Santa Barbara, Santa Barbara, CA, (2) University of Illinois at Urbana-Champaign, Chicago, IL, (3) University of Arizona, Tucson, AZ |
| TH-AB-TRACK 4-1 | Training Model Observers for Predictive Performance in Novel Tasks C Abbey1*, M Anastasio2*, M Kupinski3*, (1) University of California - Santa Barbara, Santa Barbara, CA, (2) University of Illinois at Urbana-Champaign, Chicago, IL, (3) University of Arizona, Tucson, AZ |
| TH-AB-TRACK 4-2 | Objective Image Quality Assessment by Use of Deep-Learning C Abbey1*, M Anastasio2*, M Kupinski3*, (1) University of California - Santa Barbara, Santa Barbara, CA, (2) University of Illinois at Urbana-Champaign, Chicago, IL, (3) University of Arizona, Tucson, AZ |
| TH-AB-TRACK 4-3 | The Role of Dose in Task-Based Assessment of Image Quality — Diagnostic Imaging and Radiation Therapy C Abbey1*, M Anastasio2*, M Kupinski3*, (1) University of California - Santa Barbara, Santa Barbara, CA, (2) University of Illinois at Urbana-Champaign, Chicago, IL, (3) University of Arizona, Tucson, AZ |
| TH-AB-TRACK 4-4 | Q&A C Abbey1*, M Anastasio2*, M Kupinski3*, (1) University of California - Santa Barbara, Santa Barbara, CA, (2) University of Illinois at Urbana-Champaign, Chicago, IL, (3) University of Arizona, Tucson, AZ |
| TH-E-TRACK 6-7 | Using Deep Learning Framework (pytorch) for Circular Cone Treatment Planning of CyberKnife System B Liang1*, R Wei1, Y Li2, B Liu3,4, S Xu5, F Zhou3,4, Q Wu6, J Dai1, (1) National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, Beijing, CN, (2) Sun Yat-sen University Cancer Center, State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Guangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and Therapy, Guangzhou, Guangdong, CN, (3) Image Processing Center, Beihang University, Beijing, CN, (4) Beijing Advanced Innovation Center for Biomedical Engineering, Beihang University, Beijing, CN, (5) Chinese PLA General Hospital, Beijing, Beijing, CN, (6) Duke University Medical Center, Durham, NC |
| TH-F-TRACK 5-3 | An International Validation of Knowledge-Based Planning A Babier1*, B Zhang1, R Mahmood1, V G L Alves2, A Barragan Montero3, J Beaudry4, C Cardenas5, Y Chang6, Z Chen7, J Chun8, H Eraso9, E Faustmann10, S Gaj11, S Gay5, M Gronberg5, J He12, G Heilemann13, S Hira14, Y Huang15, F Ji16, D Jiang16, J Jimenez Giraldo9, H Lee17, J Lian18, K Liu19, S Liu16, K Marixa9, J Marrugo9, K Miki20, T Netherton5, D Nguyen21, H Nourzadeh22, A Osman23, Z Peng6, J Quinto Munoz9, C Ramsl10, D Rhee5, J Rodriguez Arciniegas9, H Shan24, J V Siebers2, M H Soomro2, K Sun25, A Usuga Hoyos9, C Valderrama9, R Verbeek26, E Wang7, S Willems27, Q Wu16, X Xu18, S Yang28, L Yuan29, S Zhu30, L Zimmermann13, K L Moore31, T G Purdie32, A L McNiven32, T C Y Chan1, (1) University of Toronto, Toronto, CA, (2) University of Virginia Health System, Charlottesville, VA, (3) Universite Catholique de Louvain, Brussels, BE, (4) Memorial Sloan Kettering Cancer Center, New York, NY, (5) University of Texas MD Anderson Cancer Center, Houston, TX, (6) University of Science and Technology of China, Hefei, ,CN, (7) WolHelp Technology (Shenzhen) Co Ltd, CN, (8) Yonsei University, Seoul, KR, (9) National University Of Colombia, CO, (10) Vienna University Of Technology, Vienna, AT, (11) Cleveland Clinic, Cleveland, OH, (12) Shanghai Jiao Tong University, Shanghai, CN, (13) Medical University Of Vienna, Vienna, AT, (14) Johns Hopkins University, Baltimore, MD, (15) Peking University Cancer Hospital & Institute, Beijing, CN, (16) Anhui University, Hefei, CN, (17) Massachusetts General Hospital, Boston, MA, (18) University of North Carolina, Chapel Hill, NC, (19) Taiwan Ai Labs, Taipei, TW, (20) Hiroshima University, Hiroshima, JP, (21) UT Southwestern Medical Center, Dallas, TX, (22) Thomas Jefferson University, Philadelphia, PA, (23) Al-Neelain University, Khartoum, SD, (24) Fudan University, Shanghai, CN, (25) Studio Vodels, Atlanta, GA, (26) Aalto University, Espoo, FI, (27) KU Leuven, Leuven, BE, (28) Sichuan University, Chengdu, CN, (29) Virginia Commonwealth University Medical Center, Richmond, VA, (30) Henry Ford Health System, Detroit, MI (31) UC San Diego, La Jolla, CA, (32) Princess Margaret Cancer Centre, Toronto, CA |
| TH-F-TRACK 6-6 | Assessment of the Dosimetric Impact of Rogue Leaf Pair Openings in Modulated Stereotactic Radiosurgery Plans K Jones1*, A Templeton2, Y Liao1, J Van Schelt1, Z Grelewicz1, J Turian1, (1) Rush University Medical Center, Chicago, IL, (2) Auckland DHB, Auckland, New Zealand |
| TU-C-TRACK 4-2 | Functional Dose Sparing of the Parotid Glands: How Sparing the Parotid Ducts Yields Improvements in Patient Reported Xerostomia D Fried*, M Ahmidouch, K Pant, S Das, C Shen, K Pearlstein, L Marks, B Chera, University of North Carolina, Chapel Hill, NC |
| 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-IePD-TRACK 5-2 | 4D Robust Optimization in Small Spot Intensity-Modulated Proton Therapy (IMPT) for Distal Esophageal Carcinoma H Feng*, J Shan, J Ashman, W Rule, R Bhangoo, N Yu, J Chiang, M Fatyga, W Wong, S Schild, T Sio, W Liu, Mayo Clinic Arizona, Phoenix, AZ |
| TU-IePD-TRACK 5-5 | Investigate the Delivery Efficiency and Accuracy of Spot-Scanning Proton Arc (SPArc) in Comparison with Conventional IMPT, Automatic Step-And-Shoot Multifield IMPT L Zhao*, G Liu, D Yan, X Li, X Ding, Beaumont Health System, Royal Oak, Michigan |
| WE-A-TRACK 6-6 | A Beamlet-Based Optimization Algorithm for Arc Proton Therapy Planning S Wuyckens1*, G Janssens2, E Sterpin1,3, J Lee1, K Souris1, (1) UCLouvain, Molecular Imaging, Radiotherapy and Oncology (MIRO), Brussels, BE, (2) Ion Beam Applications SA, Louvain-la-neuve, BE, (3) KULeuven, Oncology Department, Leuven, BE |
| WE-IePD-TRACK 5-3 | Robust Optimization with Multiple-CT Sets to Account for Deep Inspiration Breath Hold Variation in Pancreatic Stereotactic Body Radiotherapy D Miles*, C Hill, A Narang, H Li, S Han-Oh, Johns Hopkins Medicine, Baltimore, MD |