DISCLAIMER:
Entry of taxonomy/keywords during proffered abstract submission was optional.
Not all abstracts will appear in search results.
Taxonomy: IM/TH- Image registration : CT
| MO-E115-GePD-F2-1 | Delta Radiomics: Assessment of Tumor Response for Lung SBRT Patients Using Daily CBCT S Meade1*, G Ge2 , J Molloy3 , D Pokhrel4 , (1) ,Lexington, KY, (2) ,Lexington, KY, (3) Univ Kentucky, Lexington, KY, (4) University of Kentucky, Lexington, KY |
| MO-E115-GePD-F2-5 | Role of Mid-Treatment Imaging Biomarkers in Phase II: Adaptive De-Escalation of Radiation Therapy Dose in HPV-Positive Oropharyngeal Carcinoma (ART) P Galavis*, M Tam , S Kim , E Zan , W Wang , K Hu , NYU Langone Health, New York, NY |
| MO-E115-GePD-F5-2 | Composition of Deformation Vector Fields for Dose Mapping During Head and Neck Adaptive Radiotherapy G Cazoulat*, M McCulloch , H Bahig , B Elgohari , H Elhalawani , A Mohamed , C Fuller , K Brock , The University of Texas MD Anderson Cancer Center, Houston, TX |
| MO-E115-GePD-F5-3 | Respiratory Deformation Registration in 4D-CT/CBCT Using Deep Learning X Teng1*, Y Chen2 , Z Jiang2 , Y Zhao1, L Ren2 , (1) Duke Kunshan University, Kunshan, (2) Duke University, Durham, NC |
| MO-E115-GePD-F5-6 | Investigation of the Accuracy of Deformable Image Registrations Between Average-Intensity Images Y He*, G Cazoulat , M McCulloch , P Balter , Z Liao , R Mohan , K Brock , The University of Texas MD Anderson Cancer Center, Houston, TX |
| PO-GePV-I-11 | Transfer Learning Based Deformable Image Registration in Pancreatic SBRT C Wessels*, C Rao , N Givehchi , S Scheib , Varian Medical Systems, Baden - Daettwil |
| PO-GePV-M-1 | Dosimetric Assessment of Three Different Rigid Registration Methods in Proton Therapy for Breast Cancer X Ming1*, Y Sheng1 , Q Zhang1 , J Zhao1 , (1) Shanghai Proton and Heavy Ion Center, Shanghai, |
| PO-GePV-M-26 | Data Driven Deformable Image Registration for Extreme Deformations E Castillo1*, D Fuentes2 , (1) Beaumont Health Research Institute, Houston, TX, (2) MD Anderson, Houston, TX |
| PO-GePV-T-220 | Study On Dose Accumulation in Postoperative IMRT Radiotherapy for Left Breast Cancer After Surgery M Su*1,2, G Gong1 , X Qiu2 , Y Yin1 , (1)Shandong Cancer Hospital Affiliated to Shandong University, Jinan,Shandong (2)University of South China , Hengyang, Hunan |
| PO-GePV-T-303 | Predicting Post-SBRT Pulmonary Function Using 4DCT-Derived Ventilation Imaging N Myziuk1*, G Sakthivel2 , L Foster2 , D Solis3 , I Sala 1, E Castillo4 , T Guerrero1,2,4 , (1) William Beaumont Hospital, Dept. of Radiation Oncology, Royal Oak, MI (2) Oakland University William Beaumont School of Medicine, Rochester, MI, (3) Mary Bird Perkins Cancer Center, Baton Rouge, LA (4) Beaumont Health Research Institute, Royal Oak, MI (6) |
| SU-F-302-3 | Automated Fiducial-Based Registration and Dose Normalization for 3D Dosimetry Y Wang1*, O Dona2 , Y Xu3, J Adamovics4 , C Wuu5 , (1) Columbia University, New York, NY, (2) Columbia University, New York, NY, (3) Columbia University, New York, NY, (4) HEURIS, INC., Skillman, NJ, (5) Columbia Univ, New York, NY |
| SU-K-221AB-7 | Evaluation of Deformable Image Registration Accuracy in Pediatric Radiotherapy Following TG-132 Recommendations O Ates*, L Zhao , C Hua , T Merchant , St. Jude Childrens Research Hospital, Memphis, TN |
| SU-L-221CD-7 | Reconstruction of Difference with Anatomical Change Preserving Deformable Registration for Sequential Lung Cancer Screening J Flores1*, G Gang2 , C Lin3 , S Fung4 , J Stayman5 , (1) Johns Hopkins University, Baltimore, MD, (2) Johns Hopkins University, Baltimore, MD, (3) Johns Hopkins University Radiology, Baltimore, ,(4) Siemens Healthineers, Ellicott City, MD, (5) Johns Hopkins University, Baltimore, MD |
| TH-A-225BCD-3 | A Novel Deformable Registration Method Using a Multi-Scale Framework with Joint Training of Unsupervised Deep Learning Models Z Jiang*, F Yin, L Ren, Duke University Medical Center, Durham, NC |
| TU-AB-SAN2-6 | A General Framework of Delta-Radiomics for Treatment Response Prediction H Nasief*, X Li , Medical College of Wisconsin, Milwaukee, WI |
| TU-C1000-GePD-F6-1 | A Deep Sequential Learning Architecture for Xerostomia Prediction in Parotid Glands Using CBCT and Rigid-Registered Dose Images H Tseng1*, B Rosen2, JT Chien3, M Mierzwa4, R Ten Haken5, I El Naqa6 , (1) University of Michigan, Ann Arbor, Ann Arbor, MI, (2) University of Michigan, Ann Arbor, MI, (3)National Chiao Tung University, Hsinchu, Taiwan (4) University of Michigan, Ann Arbor, MI, (5)University of Michigan, Ann Arbor, MI, (6)University of Michigan, Ann Arbor, MI |
| TU-C1030-GePD-F9-1 | A Statistically Characterized Reference Data Set for Image Registration of Pelvis Using Combinatorial Affine Registration Optimization A Yorke1*, I Sala2 , D Solis3 , T Guerrero4 , (1) William Beaumont Hospital, Royal Oak, MI, (2) Beaumont Hospital, Royal Oak, MI, (3) William Beaumont Hospital, Warren, MI, (4) ,Royal Oak, MI |
| TU-F115-GePD-F2-5 | Radiation Dose Response Model for Ventilation Change Using All Phases of 4DCT E Wallat1*, M Flakus1 , A Wuschner1 , W Shao2 , S Gerard2 , T Patton3 , G Christensen2 , J Reinhardt2 , A Baschnagel1 , J Bayouth1 , (1) University of Wisconsin-Madison, Madison, WI, (2) University of Iowa, Iowa City, IA,(3) University of Denver, Denver, CO |
| TU-F115-GePD-F5-2 | Commissioning Varians SmartAdapt for Clinical Applications in Adaptive Radiation Therapy J Vickress1,2*, H Afsharpour1 , A Rangel1 , (1) Carlo Fidani Peel Regional Cancer Centre, Trillium Health Partners, Mississauga, ON, (2) Department of Radiation Oncology, University of Toronto, Toronto, CA |
| TU-J345-GePD-F6-1 | Correlation of Deformation Vector Field Error and Contour-Based Metrics in Unimodal Deformable Image Registration L Shi1*, S Barley2 , S Benedict3 , J Qiu1 , Y Rong3 , (1) Taishan Medical University, Taian, ,(2) Oncology Systems Limited (OSL), Shrewsbury, ,(3) UC Davis Cancer Center, Sacramento, CA |
| TU-J345-GePD-F7-3 | A Controlled Study of Dose Accumulation in Intensity-Modulated Radiotherapy for Non-Small Cell Lung Cancer Based On Rigid Registration and Deformable Registration J Ren*, G Gong , Y Yin , Shandong Cancer Hospital Affiliated to Shandong University, Jinan, China; H Quan , School of Physics and Technology, Wuhan University, Wuhan, China |
| WE-FG-304-9 | Improve Deformable Imaging Registration Accuracy Using Pulmonary Vascular Extraction for Lung CT Images D Yang*, Y Fu , X Wu , H Li , Washington University School of Medicine, St. Louis, MO |
