Abstract #0936
A New Binning Approach for 3D Motion Corrected Self-Navigated Whole-Heart Coronary MRA Using Independent Component Analysis of Individual Coils
Gabriele Bonanno 1,2 , Davide Piccini 3,4 , Bndicte Marchal 3,5 , Michael O. Zenge 6 , and Matthias Stuber 1,2
1
Radiology, University Hospital (CHUV) and
University of Lausanne (UNIL), Lausanne, Vaud,
Switzerland,
2
Center
for Biomedical Imaging (CIBM), Lausanne, Vaud,
Switzerland,
3
Advanced
Clinical Imaging Technology, Siemens Healthcare IM BM
PI, Lausanne, Vaud, Switzerland,
4
Radiology,
University Hospital (CHUV) and University of Lausanne
(UNIL) - Center for Biomedical Imaging (CIBM), Lausanne,
Vaud, Switzerland,
5
CIBM-AIT,
cole Polytechnique Fdrale de Lausanne, Lausanne,
Vaud, Switzerland,
6
MR
Product Innovation and Definition, Healthcare Sector,
Siemens AG, Erlangen, Germany
A respiratory signal is extracted from independent
component analysis of fluctuations of the k-space center
amplitude in all receiver coils throughout a 3D radial
coronary MRA acquisition. This signal is then used to
bin data in undersampled 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 1D
projections. In comparison to 1D self-navigation, the
proposed 3D self-navigation method showed significantly
improved vessel delineation in a cohort of 11 healthy
adult volunteers.
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