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Abstract #5137

Surface Tracking-assisted Real-time 4D Lung MRI

Xiao Liang1, Li Pan2, Erez Nevo3, Hussain Soomro1, Steve Roys1, Rao P Gullapalli1, Amit Sawant1, Thomas Ernst1, and Jiachen Zhuo1
1University of Maryland School of Medicine, Baltimore, MD, United States, 2Siemens Medical Solutions USA Inc, Baltimore, MD, United States, 3Robin Medical Inc., Baltimore, MD, United States

Synopsis

Keywords: Motion Correction, Motion Correction, Continuous 4D, Lung, MR‐Guided Radiotherapy, respiration synchronizatioin

Motivation: To develop a continuous 4D lung MRI technique that captures intra- and inter-cycle variability to enable motion modeling for real-time target tracking for radiotherapy.

Goal(s): To address the challenge of acquiring sufficient data for reconstruction of dynamic 3D volumes while maintaining adequate spatiotemporal resolution for radiation therapy guidance.

Approach: We utilized golden angle stack-of-star acquisition, and labeled each view with continuous breathing state from a surface tracking system for sharing views with similar breathing states.

Results: Continuous 4D lung MRI at 60.6ms per volume with high spatial resolution that shows movement of lung vessels.

Impact: Continuous 4D lung MRI allows accurate modeling of respiration-induced internal target motion to surface motion prior to radiotherapy, and thus enables real-time target tracking during external beam radiation treatment without the need of MR linac.

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Keywords