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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