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Keywords: stopping power
PO-GePV-M-138Feasibility of a Second-Generation Dual-Layer Spectral CT System for Stopping Power Prediction and Dose Calculation in Particle Therapy
F Longarino1*, A Kowalewski2, T Tessonnier3, S Mein4, B Ackermann5, J Debus6, W Stiller7, A Mairani8, (1) German Cancer Research Center (DKFZ), Heidelberg, DE, (2) German Cancer Research Center (DKFZ), Heidelberg, DE, (3) Heidelberg Ion Beam Therapy Center (HIT), Heidelberg, DE, (4) German Cancer Research Center (DKFZ), Heidelberg, DE, (5) Heidelberg Ion Beam Therapy Center (HIT), Heidelberg, DE, (6) Heidelberg University Hospital, Heidelberg, DE, (7) Heidelberg University Hospital, Heidelberg, DE, (8) Heidelberg Ion Beam Therapy Center (HIT), Heidelberg, DE
PO-GePV-T-3Clinical Analysis of a Dual-Energy CT Joint Statistical Image Reconstruction Method in Proton Therapy
X Chen1*, M Medrano2, T Ge3, R Liao4, D Politte5, B Whiting6, Y Hao7, J Williamson8, J O'Sullivan9, T Zhao10, (1) Washington University in St. Louis, St. Louis, MO, (2) Washington University in St. Louis, St. Louis, MO, (3) Washington University in St. Louis, St. Louis, MO, (4) Washington University in St. Louis, St. Louis, MO, (5) Washington university in St. Louis, St. Louis, (6) retired, Pittsburgh, PA, (7) Washington University School of Medicine, St. Louis, MO, (8) Washington University in St. Louis, St. Louis, MO, (9) Washington University, St. Louis, MO, (10) Washington University School of Medicine, St. Louis, MO
SU-J-207-1Accuracy and Spatial Resolution Comparison of Two Proton Computed Tomography Scanners
G Dedes1*, H Drosten1, S Goetz1, J Dickmann1, C Sarosiek2, M Pankuch3, N Krah4, S Rit4, V Bashkirov5, R Schulte5, R Johnson6, K Parodi1, E DeJongh7, G Landry8, (1) LMU Munich, Munich, Bavaria, DE, (2) Medical College of Wisconsin, Milwaukee, WI, (3) Northwestern Medicine Chicago Proton Center, Warrenville, IL, (4) Universite de Lyon, Lyon, ,FR, (5) Loma Linda University, Loma Linda, CA, (6) U.C. Santa Cruz, Santa Cruz, CA, (7) ProtonVDA Inc, Naperville, IL, (8) University Hospital, LMU Munich, Munich, BV, DE
TU-D930-IePD-F7-1Predicting Electronic Stopping Power in Materials for Incident Ions Using Machine Learning
S Taghizadehghahremanloo, F Akbari*, D Shvydka, N Sperling, E Parsai, University of Toledo Medical Center, Toledo, OH
WE-C1000-IePD-F1-1Using CycleGAN Machine Learning to Increase Accuracy of Relative Electron Density and Proton Stopping Power Ratio
J Scholey1*, L Vinas2, V Kearney3, S Yom4, P Larson5, M Descovich6, A Sudhyadhom7, (1) University of California San Francisco, San Francisco, CA, (2) University of California Berkeley, Berkeley, CA, (3) University of California San Francisco, San Francisco, CA, (4) University of California San Francisco, San Francisco, CA, (5)(6) University of California San Francisco, San Francisco, CA, (7) Brigham and Women's Hospital | Dana-Farber Cancer Institute | Harvard Medical School, Boston, MA

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