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Taxonomy: IM/TH- Cone Beam CT: Machine learning, computer vision
| PO-GePV-M-144 | Generation of Synthetic CT From CBCT Images to Reconstruct Dose for Lung Cancer Radiotherapy D Patel1*, T Stanescu2, J-P Bissonnette2, (1) University of Toronto, Toronto, ON, CA, (2) Princess Margaret Cancer Centre, Toronto, ON, CA |
| PO-GePV-M-153 | Using StyleGAN for Unpaired Image Translation Between CBCT and CT for Adaptive Proton Treatment D Tang*, T Bortfeld, S Yan, Massachusetts General Hospital and Harvard Medical School, Boston, MA |
| PO-GePV-M-163 | Daily Coverage Assessment Using Deep Learning Generated Synthetic CT for Lung SBRT Patients R LJ Qiu1, Y Lei1, J Shelton1,2, K Higgins1, J Bradley1, W Curran1, T Liu1, A Kesarwala1, X Yang1, (1) Department of Radiation Oncology and Winship Cancer Institute, Emory University, Atlanta, GA (2) Department of Radiation Oncology, Grady Memorial Hospital, Atlanta, GA |
| SU-H300-IePD-F5-3 | Deep Learning Based 4D Synthetic CTs Generated From CBCTs for Proton Dose Calculations in Adaptive Proton Therapy A Thummerer1*, C Seller Oria1, S Visser1, P Zaffino2, A Meijers3, R Wijsman1, G Guterres Marmitt1, J Seco4,5, J Langendijk1, A Knopf1,6, M Spadea2, S Both1, (1) Department of Radiation Oncology, University Medical Center Groningen, University of Groningen, Groningen,NL, (2) Department of Experimental and Clinical Medicine, Magna Graecia University, Catanzaro,IT, (3) Center for Proton Therapy, Paul Scherrer Institute, Villigen, CH, (4) DKFZ Heidelberg, Heidelberg, DE, (5) Department of Physics and Astronomy, Heidelberg University, Heidelberg, DE (6) Department I of Internal Medicine, Center for Integrated Oncology Cologne, University Hospital of Cologne, Cologne, DE |
| SU-H330-IePD-F5-2 | Deep Learning Projection Interpolation for Sparsely Sampled Real Patient CBCT Reconstruction K Lu1*, Z Zhang1, L Ren2, F Yin1,3, (1) Duke University, Durham, NC, (2) University of Maryland, Baltimore, MD, (3) Duke University Medical Center, Durham, NC |
| TH-D-207-5 | Hybrid Adversarial Network for Ultra-Quality Pulmonary Anatomy Imaging From Cone-Beam CT Images J Zhu1, W Chen2, Y Huang1*,A Nicol3, Y Lam4, J Cai5, G Ren6, (1) Hong Kong Polytechnic University, Hong Kong (2) Chinese Academy of Sciences, Shenzhen Advanced Technology Academe, Shenzhen,CN(3) The Hong Kong Polytechnic University, Hong Kong(4) Hong Kong Polytechnic University, Hong Kong(5) Hong Kong Polytechnic University, Hong Kong (6) Hong Kong Polytechnic University, Hong Kong |
| TH-F-BRC-2 | Feasibility of CycleGAN Enhanced Low Dose CBCT Imaging for Prostate Radiotherapy Dose Calculation Y Chan1*, M Li1, K Parodi2, C Belka1,3, G Landry1, C Kurz1, (1) Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany, (2) Department of Medical Physics, Ludwig-Maximilians-Universitaet Muenchen (LMU Munich), Garching (Munich), Germany, (3) German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany |