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Taxonomy: TH- Brachytherapy: Imaging for brachytherapy: development and applications
|PO-GePV-T-23||A Novel Quality Assurance System to Evaluate MR-Only Workflow for Interstitial and Intracavitary Gynecological HDR Brachytherapy|
S Aldelaijan1,2*, H Alsaleh1, C Constantinescu1, S Devic2, I Buzurovic3, B Moftah1,2, (1) King Faisal Hospital & Research Centre, Riyadh, SA, (2) Gerald Bronfman Department of Oncology, McGill University, Montreal, QC, CA, (3) Dana-Farber/Brigham and Women's Cancer Center, Harvard Medical School, Boston, MA
|SU-H330-IePD-F5-1||Dosimetric and Image Quality Assessment of a Novel Deep Learning-Based Framework for MRI Synthesis From CT for Prostate High Dose-Rate Brachytherapy|
A Podgorsak1,2*, B Venkatesulu1,2, M Abuhamad3, M Harkenrider1,2, A Solanki1,2, J Roeske1,2, H Kang1,2, (1) Department of Radiation Oncology, Stritch School of Medicine, Cardinal Bernadin Cancer Center, Loyola University Chicago, Maywood, IL, (2) Loyola University Medical Center, Maywood, IL, (3) Department of Computer Science, Loyola University Chicago, Chicago, IL
|SU-H400-IePD-F7-1||Feasibility of HDR Brachytherapy Applicator Commissioning and QA Using a Mobile CT Scanner|
M Stock*, Y Vinogradskiy, R Taleei, Thomas Jefferson University, Philadelphia, PA
|SU-K-207-1||Comparing Spatial Accuracy of Catheter Localization Between Stepping-Transverse Mode and Twister-Sagittal Mode in Transrectal Ultrasound (TRUS) Based High-Dose-Rate (HDR) Brachytherapy for Prostate Cancer Therapy|
M Keohane1*, S Dieterich1, J Matney1, P Beagen1, J Zhao1, R Valicenti1, T Liu2, S Benedict1, P Park1, (1) UC Davis Medical Center, Sacramento, CA,(2) Emory Univ, Atlanta, GA,
|TU-D1000-IePD-F7-1||Deep Learning-Based Automatic Segmentation Framework for Targets and OARs in Cervical High Dose Rate (HDR) Brachytherapy|
R Ni1*, S Kim1, B Haibe-kains1, A Rink1,2, (1) University of Toronto, Toronto, ON, CA, (2) Princess Margaret Hospital, Toronto, ON, CA
|TU-I345-IePD-F5-5||Radio-Luminescent Imaging for Rapid, High Resolution Eye Plaque Loading Verification|
W Liu1, P De Jean2, H Yan3*, E Grafil2, M Ashraf1, T Niedermayr1, M Astrahan4, P Mruthyunjaya1, B Beadle1, L Xing1, (1) Stanford University, Stanford, CA, (2) Luca Medical Systems Inc., Palo Alto, CA, (3) Capital Medical University, Beijing, 11, CN, (4) Eye Plaque Inc, Los Alamitos, CA