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Abstract #2503

Automated and Subject-Specific Coil Selection for Respiratory Self-Navigation in Coronary MRA

Davide Piccini 1,2 , Bndicte Marchal 1,3 , Simone Coppo 2 , Jrme Chaptinel 2 , Gabriele Bonanno 2 , Gunnar Krueger 1,3 , Juerg Schwitter 4 , and Matthias Stuber 2

1 Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland, 2 Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL) / Center for Biomedical Imaging (CIBM), Lausanne, Switzerland, 3 CIBM-AIT, cole Polytechnique Fdrale de Lausanne, Lausanne, Switzerland, 4 Division of Cardiology and Cardiac MR Center, University Hospital of Lausanne (CHUV), Lausanne, Switzerland

In the field of self-navigated (SN) coronary MRA, several approaches have been proposed for the extraction of clean respiratory signals. The coils used for SN are usually either manually selected or fixed and dependent on the hardware of the scanner. In this work, a method for automated subject-specific coil selection for SN, which uses atlas-based image segmentation techniques, is described and compared to manual selection performed by expert reviewers and fixed coil selection. While the automated coil selection performs equally well as the manual selection, a significant improvement in image quality is obtained in comparison to a fixed coil selection.

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