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Abstract #2618

Breathing-speed quantitative motion imaging using radial acquisition and motion-subspace reconstruction

Victor Murray1 and Ricardo Otazo1,2
1Department of Medical Physics, Memorial Sloan Kettering Cancer Center, New York City, NY, United States, 2Department of Radiology, Memorial Sloan Kettering Cancer Center, New York City, NY, United States

Synopsis

Keywords: Sparse & Low-Rank Models, Motion Correction, Breathing-speed quantitative motion imaging

Motivation: Motion-resolved MRI relies on the navigation technique and can miss motion peaks or baseline drifts since it reconstructs a composite motion cycle without localized temporal information.

Goal(s): To develop a quantitative motion imaging at breathing speed (temporal resolution <450ms) for robust characterization of motion.

Approach: A combination of highly undersampled radial acquisition (3 spokes/frame) and motion subspace reconstruction was employed to achieve <450ms of temporal resolution. The motion sub-space was computed directly from the data. The diaphragm position was quantified automatically using a position-tracking algorithm.

Results: True motion information at breathing speed can be obtained, outperforming state-of-the-art motion-resolved MRI that uses motion sorting.

Impact: Direct measurement of motion at the speed of breathing can enable the extraction of functional information and improve motion characterization for radiotherapy planning.

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Keywords