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Education | IM | IM/TH | Leadership | TH | show all

Taxonomy: IM/TH- MRI in Radiation Therapy: MRI/Linear accelerator combined- IGRT and tracking

BReP-SNAP-M-72Factors Contributing to Geometrical Accuracy in Online MRI-Linac Guided Brain Radiotherapy
M Ruschin1, 2*, C Mccann1, 2, J Stewart1, P Maralani3, M Campbell4, A Kim1, 2, Y Lee1, 2, A Carty4, C Tseng2, 4, A Sahgal2, 4, B Keller1, 2, (1) Sunnybrook Odette Cancer Centre, Department of Medical Physics, Toronto, ON, CA, (2) University of Toronto, Department of Radiation Oncology, Toronto, ON, CA, (3) Sunnybrook Health Sciences Centre, Department Of Medical Imaging,(4) Sunnybrook Odette Cancer Centre, Department Of Radiation Oncology
BReP-SNAP-M-126Real-Time Adaptive Dose Scaling During MLC-Tracking On the Elekta Unity MR-Linac
PTS Borman*, PL Woodhead, P Uijtewaal, SL Hackett, JJW Lagendijk, BW Raaymakers, MF Fast, Department of Radiotherapy, University Medical Center Utrecht, Utrecht, NL
BReP-SNAP-M-144Tumor Position Variation in Gating Window Using Cine MRI of 0.35T MRgRT
A Guta1*, B Lewis1,Z Ji1 D Lam1,T Mazur1, S Mutic1 and T Kim1 (1) Washington University in St. Louis, St Louis, Mo
BReP-SNAP-T-42Motion Management and Dose Reconstruction for MRI-Guided Cardiac Radiosurgery
S Ehrbar*, M Chamberlain, S Tanadini-Lang, L Wilke, M Mayinger, N Andratschke, University Hospital Zurich And University Of Zurich
MO-CD-TRACK 1-6Single-LIne DrivEn Real-Time (SLIDER) MR Multi-Contrast Imaging Using Pre-Learned Spatial Subspace
P Han*, F Han, Z Hu, D Li, A Christodoulou, Z Fan, Cedars-Sinai Medical Center, Los Angeles, CA
PO-GeP-M-52An AI-Based Tumor Auto-Contouring Algorithm for Non-Invasive Intra-Fractional Tumor-Tracked Radiotherapy (nifteRT) On Linac-MR
J Yun1*, E Yip2, Z Gabos3, N Usmani4, D Yee5, K Wachowicz6, B Fallone7, (1) (2) (6) (7) Department of Medical Physics, Cross Cancer Institute, Edmonton, AB, CA, (3) (4) (5) Department of Radiation Oncology, Cross Cancer Institute, Edmonton, AB, CA
PO-GeP-M-153Development of a No Action Level (NAL) Protocol for Physician Time Management During MRI Guided Online Standard Fractionation Adaptive Radiation Therapy for Head and Neck Cancer
S Vedam1*, B McDonald2, J Yang3, P Castillo4, A Sobremonte5, B Lee6, N Hughes7, M Mohammadsaid8, J Wang9, C Fuller10, (1) UT MD Anderson Cancer Center, Houston, TX, (2) ,Houston, TX, (3) MD Anderson Cancer Center, Houston, TX, (4) MD Anderson Cancer Center, Houston, TX, (5) M D Anderson Cancer Center, ,,(6) UT MD Anderson, Houston, TX, (7) MD Anderson Cancer Center, Houston, TX, (8) M D Anderson Cancer Center, ,,(9) MD Anderson Cancer Center, Houston, TX, (10) MD Anderson Cancer Center, Houston, TX
PO-GeP-M-161Does Daily MRI-Guided Online Re-Planning in Prostate SBRT Improve Dosimetry Compared to Isocenter Shift Adaptation?
M Ruschin1,2*, B Keller1,2, J Detsky2,3, A Loblaw2,3, J Stewart1, M Campbell2, A Kim1,2, K Wong2, M Davidson1,2, M Wronski1,2, D Vesprini2,3, C Mccann1,2, (1) Sunnybrook Odette Cancer Centre, Department of Medical Physics, Toronto, ON, CA, (2) University of Toronto, Department of Radiation Oncology, Toronto, ON, CA, (3) Sunnybrook Odette Cancer Centre, Department of Radiation Oncology, Toronto, ON, CA
PO-GeP-M-253Improvement of Real-Time Motion Tracking with Daily Optimized Registration of Cine MRI On MR-Linac
T Keiper1*, A Tai1, X Chen1, E Paulson1, F Lathuiliere2, S Beriault2, F Hebert2, D Cooper2, M Lachaine2, X Allen Li1, (1) Medical College of Wisconsin, Milwaukee, WI, (2) Elekta, Montreal, QC, CAN
PO-GeP-M-316Online Adaptive Planning Strategy for 1.5T MR-Linac
J Yang*, A Sobremonte, S Vedam, K Brock, A Ohrt, C Fuller, S Choi, A Jhingran, P Castillo, B Lee, J Wang, N Hughes, M Mohammadsaid, P Balter, MD Anderson Cancer Center, Houston, TX
TU-EF-TRACK 2-1BEST IN PHYSICS (MULTI-DISCIPLINARY): First Experimental Investigation of Simultaneously Tracking Two Independently Moving Targets On An MRI-Linac Using Real-Time MRI and MLC Tracking
P Liu1*, Y Ge2, B Dong3, G Liney3, D Nguyen1,4, E Hewson1, D Waddington1, R O'Brien1, P Keall1, (1) ACRF Image X Institute, The University of Sydney, Eveleigh, NSW, AU, (2) Prince of Wales Hospital, Randwick, NSW, AU, (3) Ingham Institute for Applied Medical Research, Liverpool, NSW, AU, (4) School of Biomedical Engineering, University of Technology Sydney, Ultimo, NSW, AU
TU-EF-TRACK 2-8Experimental Validation of Estimated 4D-MRI for MR-Guided Radiotherapy Based On Orthogonal Cine-MRI with a Porcine Lung Phantom
M Rabe1*, C Paganelli2, M Riboldi3, D Bondesson4, M Schneider4, T Chmielewski5, J Dinkel4, M Reiner1, G Landry1,3, K Parodi3, C Belka1,6, F Kamp1, C Kurz1,3, (1) Department of Radiation Oncology, University Hospital, LMU Munich, Munich, Germany (2) Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, Italy (3) Department of Medical Physics, Ludwig-Maximilians-Universitaet Muenchen (LMU Munich), Garching (Munich), Germany (4) Department of Radiology, University Hospital, LMU Munich, Munich, Germany (5) ViewRay Inc., Oakwood Village, OH (6) German Cancer Consortium (DKTK), Partner Site Munich, Munich, Germany
TU-EF-TRACK 2-9Multi-Temporal Resolution Model-Based Volumetric Prediction of Breathing and Slow Drifting Motion in the Abdomen Using Radial MRI
L Liu1*, A Johansson2, Y Cao1, J Balter1, (1) University of Michigan, Ann Arbor, MI, (2) Uppsala University,Uppsala,SE