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Abstract #2608

Abdominal organ tracking on a hybrid MR-Linac system using a particle filter based algorithm

Alexandra E Bourque1,2,3, Stéphane Bedwani1, Jean-François Carrier1,2, Cynthia Ménard1, Pim Borman3, Clemens Bos3, Bas Raaymakers3, Nikolai Mickevicius4, Eric Paulson4,5, and Rob H.N. Tijssen3

1Département de radio-oncologie, Centre Hospitalier de l'Université de Montréal, Montréal, QC, Canada, 2Département de physique, Université de Montréal, Montréal, QC, Canada, 3Imaging division, UMC Utrecht, Utrecht, Netherlands, 4Radiation Oncology, Medical College of Wisconsion, Milwaukee, WI, United States, 5Radiology, Medical College of Wisconsin, Milwaukee, WI, United States

We have previously developed an autocontouring and tracking algorithm for lung tumors as an online application for MR-Linac treatments. This algorithm is now extended to abdominal organs tracking and evaluated with a range of imaging strategies on multiple systems, including single slice dynamic time-series data acquired on the 1.5T Marlin system of the MR-Linac as well as simultaneous multi-slice (SMS) and simultaneous orthogonal plane imaging (SOPI) acquired on diagnostic 1.5T Philips and 3T Siemens scanners. The wide adaptability of the algorithm on images of different contrast concludes that the method is robust and can be successfully applied in different tracking scenario.

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