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Abstract #1321

Motion Compensated Coronary MRA using Focused Navigation (fNAV)

Christopher W. Roy1, John Heerfordt1,2, Davide Piccini1,2, Juerg Schwitter3, and Matthias Stuber1,4
1Radiology, Lausanne University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 2Advanced Clinical Imaging Technology (ACIT), Siemens Healthcare AG, Lausanne, Switzerland, 3Division of Cardiology and CMR-Center, Lausanne University Hospital (CHUV), Lausanne, Switzerland, 4Center for Biomedical Imaging (CIBM), Lausanne, Switzerland

Robust visualization of the coronary vessels is challenging due to cardiac and respiratory motion. Several strategies exist that resolve respiratory motion (XD-GRASP) or compensate for it using N-dimensional image-based navigators to correct for N dimensions of motion. We present a novel self-navigation method wherein the minimization of an image metric is used to estimate 3D non-rigid respiratory motion from a 1D navigator signal (focused navigation: fNAV). We validate fNAV for free-breathing cardiac triggered whole-heart CMRA in a realistic numerical phantom, demonstrate its use in cohorts of healthy volunteers and patients, and quantitatively compare fNAV reconstructions to XD-GRASP.

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