Abstract #1599

Low-field MR Multitasking for an integrated abdominal MRgRT imaging framework

Junzhou Chen^1,2, Ye Tian³, Namgyun Lee³, Mingsong Cao⁴, Wensha Yang⁵, Sophia Cui⁶, Krishna Nayak³, Debiao Li^2,7, Anthony Christodoulou^2,7, and Zhaoyang Fan^1,5

¹Radiology, University of Southern California, Los Angeles, CA, United States, ²Bioengineering, University of California, Los Angeles, Los Angeles, CA, United States, ³Electrical Engineering, University of Southern California, Los Angeles, CA, United States, ⁴University of California, Los Angeles, Los Angeles, CA, United States, ⁵Radiation Oncology, University of Southern California, Los Angeles, CA, United States, ⁶Siemens Medical Solutions, Los Angeles, CA, United States, ⁷Cedars-Sinai Medical Center, Los Angeles, CA, United States

Synopsis

Keywords: Low-Field MRI, RadiotherapyMR applications in radiation therapy has shown great promise for highly conformal treatment. However, MRgRT in the abdomen remains challenging due to motion and the sheer number of organs. In this work, we have demonstrated at 0.55T an integrated multi-task MR platform for adaptive radiation planning and treatment monitoring in the abdomen. We propose using a hybrid GRE-TSE sequence, from a single "pre-beam" scan we are able to generate a volumetric, multi-contrast and motion resolved images for adaptive treatment planning as well as enabling multi-contrast 3D real-time display during treatment.

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