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Proceedings Paper

Joint image reconstruction and motion parameter estimation for free-breathing navigator-gated cardiac MRI
Author(s): Mehmet Akçakaya; Tamer A. Basha; Sebastian Weingärtner; Reza Nezafat
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Paper Abstract

We propose an acquisition and reconstruction technique for accelerated free-breathing cardiac MRI acquisitions. For the acquisition, a random undersampling pattern, including a fully-sampled center of k-space, is generated prospectively. The k-space lines specified by this undersampling pattern is acquired with respiratory navigating (NAV), where only the central k-space lines are acquired within the prespecified gating window. For the outer k-space lines, if the NAV signal corresponding to a k-space segment is outside the gating window, the segment is rejected, but not re-acquired. The reconstruction approach jointly estimates the underlying image using a compressed-sensing based approach, and the translational motion parameters for each segment for the outer k-space segments acquired outside the gating window. The feasibility of the approach is demonstrated in healthy adult subjects using whole-heart coronary MRI with a 3-fold accelerated random undersampling pattern. The proposed acquisition and reconstruction technique is compared to parallel imaging with uniform undersampling with 3-fold undersampling. The two techniques exhibit similar image quality with a shorter acquisition time for the proposed approach (4:25±0:31 minutes versus 6:52±0:19).

Paper Details

Date Published: 26 September 2013
PDF: 8 pages
Proc. SPIE 8858, Wavelets and Sparsity XV, 885820 (26 September 2013); doi: 10.1117/12.2023787
Show Author Affiliations
Mehmet Akçakaya, Beth Israel Deaconess Medical Ctr. (United States)
Tamer A. Basha, Beth Israel Deaconess Medical Ctr. (United States)
Sebastian Weingärtner, Beth Israel Deaconess Medical Ctr. (United States)
Reza Nezafat, Beth Israel Deaconess Medical Ctr. (United States)

Published in SPIE Proceedings Vol. 8858:
Wavelets and Sparsity XV
Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editor(s)

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