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Abstract #2664

Atlas-Based 3D-Affine Self-Navigated Whole-Heart Coronary MRA: Initial Experience in Patients

Gabriele Bonanno 1 , Davide Piccini 1,2 , Bndicte Marechal 2,3 , Cristophe Sierro 4 , Juerg Schwitter 5 , and Matthias Stuber 1

1 Radiology, University Hospital (CHUV) and University of Lausanne (UNIL) / Center for Biomedical Imaging, Lausanne, Switzerland, 2 Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland, 3 Radiology, CHUV - LTS5 - Ecole polytechnique Fdrale de Lausanne, Lausanne, Switzerland, 4 Division of Cardiology and Cardiac MR Center, University Hospital (CHUV) and University of Lausanne (UNIL), Lausanne, Switzerland, 5 Division of Cardiology and Cardiac MR Center, University Hospital (CHUV) and University of Lausanne (UNIL), Switzerland

In order to improve motion correction, a respiratory signal is extracted from independent component analysis (ICA) of fluctuations of the k-space center amplitude in all receiver coils throughout a 3D radial coronary MR angiography (MRA) acquisition. This signal is then used to bin data in under sampled 3D sub-images related to different respiratory phases. Image-based 3D motion correction is thus enabled, without the need of additional navigators or tracking of the heart from multiple 1D projections. In comparison to 1D self-navigation, the proposed 3D self-navigation method preliminarily demonstrated improved vessel delineation in a small cohort of 7 patients with suspected cardiovascular disease.

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