Abstract #1321

Motion Compensated Coronary MRA using Focused Navigation (fNAV)

Christopher W. Roy¹, John Heerfordt^1,2, Davide Piccini^1,2, Juerg Schwitter³, and Matthias Stuber^1,4

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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