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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