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| BReP-SNAP-M-41 | Comparison and Validation of Distortion Correction On a Low-Field MR-Guided Radiotherapy System Y Gao*, J Pham, A Kalbasi, A Raldow, P Hu, Y Yang, University of California, Los Angeles, Los Angeles, CA |
| BReP-SNAP-T-80 | Impact of Radiation-Induced Oxygen Depletion On Cell Survival in Ultra-Short Pulsed Cell Irradiation at Low Repetition Rate S Zhou*, D Zheng, Y Yan, S Wang, A Besemer, C Zhou, C Enke, University of Nebraska Medical Center, Omaha, NE |
| PO-GeP-I-16 | A Preliminary Study of the Geometric Distortion in Diffusion-Weighted Imaging of Magnetic Resonance Imaging Simulation x liu, J Qiu, Peking Union Medical College HospitalBeijingCN |
| PO-GeP-I-32 | An Optimised Diffusion MRI Technique To Study Neuron Microstructure N Arezza*, D Tse, C Baron, Western University, London, Ontario, CA |
| PO-GeP-I-103 | EPI Distortion Correction Using Log-Demons Method in MR Diffusion Tensor Images T Arsenault1*, F Yin1, J Chino 1,O Craciunescu1, Z Chang1, (1) Duke University, Durham, NC |
| PO-GeP-M-325 | Patterns in the Diffusion Characteristics of Brain Metastases in Stereotactic Radiosurgery Patients Using Diffusion Weighted Imaging J Madamesila*, N Ploquin, E Tchistiakova, Tom Baker Cancer Center, Calgary, AB, CA |
| PO-GeP-M-349 | Quantification of White Matter Hyperintensities Based On Diffusion Tensor Imaging and Support Vector Machine L Zheng1, R Gao2, W Lu1, L Shi1, W Lu1*, J Qiu1, (1) Shandong First Medical University & Shandong Academy of Medical Sciences, Taian, Shandong, CN, (2) Shandong University Of Science And Technology, Qingdao, Shandong, CN |
| PO-GeP-T-70 | A Study of Reoxygenation of Cancer Cells After Application of Radiation of Different Sized Doses Using a Diffusion Model Y Watanabe, E Dahlman*, University of Minnesota, Minneapolis, MN |
| PO-GeP-T-584 | Modeling FLASH RT Effect for Ultra-Short Pulsed Cell Irradiation at High Repetition Rates S Zhou*, D Zheng, Y Yan, S Wang, A Besemer, C Zhou, C Enke, University of Nebraska Medical Center, Omaha, NE |
| PO-GeP-T-800 | Towards An Image-Informed Mathematical Model of Response to Fractionated Radiation Therapy D Hormuth,II1,5*, A Jarrett1,5, T Yankeelov1-5, (1) Oden Institute for Computational Engineering and Sciences, Departments of (2) Biomedical Engineering, (3) Diagnostic Medicine, and (4) Oncology, (5) Livestrong Cancer Institutes . The University of Texas at Austin, Austin, TX USA |
| TU-EF-TRACK 2-12 | Clinical Optimization of Diffusion Weighted Imaging On An MR-Linac H Nusrat1,2*, R Chan3, A Elzibak1, B Chugh1,2, A Lau3, A Sahgal2, B Keller1,2, (1) Department of Medical Physics, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, CA, (2) Department of Radiation Oncology, University of Toronto, Toronto, ON, CA, (3) Sunnybrook Research Institute, Toronto, ON, CA |