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Abstract #1766

5-D free-breathing and ungated cardiac MRI using diffeomorphicmotion-compensated (DMoCo) algorithm

Joseph William Kettelkamp1, Ludovica Romanin2, Sarv Priya3, and Mathews Jacob1
1Department of Biomedical Engineering, University of Virginia, Charlottesville, VA, United States, 2University Hospital of Lausanne (CHUV) and Siemens Healthineers International AG, Lausanne, Switzerland, 3Radiology, University of Wisconsin Madison, Madison, WI, United States

Synopsis

Keywords: Myocardium, Cardiovascular

Motivation: Free-breathing and ungated 3D radial acquisitions are emerging as powerful alternatives to gold-standard
breath-held 2D cine cardiac-MRI. Current motion-resolved algorithms for 5D MRI suffer from low sampling of bins, when
scan time is limited.

Goal(s): To develop a data-efficient diffeomorphic motion-resolved reconstruction algorithm for free-breathing and ungated
cardiac MRI data.

Approach: Each volume is represented as the deformed version of the static template, where the deformations are constrained
by phase-dependent diffeomorphisms. The static template and the deformations are estimated from the measured k-t space
data.

Results: The proposed algorithm enables the recovery of 3D cardiac cine MRI data from six minutes of scan-time.

Impact: The proposed diffeomorphic motion compensated recovery scheme is more data and computationally efficient thancurrent motion resolved reconstruction methods used in 5D cardiac MRI, and can offer good recovery from short 3D radialungated scans.

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Keywords