Abstract #0028
Improved free-running self-navigated 4D whole-heart MRI through combination of compressed sensing and parallel imaging.
Simone Coppo 1 , Li Feng 2 , Davide Piccini 1,3 , Jrme Chaptinel 1 , Gabriele Bonanno 1 , Gabriella Vincenti 4 , Juerg Schwitter 4 , Ricardo Otazo 2 , Daniel K. Sodickson 2 , and Matthias Stuber 1
1
Department of Radiology, University Hospital
(CHUV), University of Lausanne (UNIL), Center for
Biomedical Imaging (CIBM), Lausanne, Switzerland,
2
Center
for Advanced Imaging Innovation and Research (CAI2R),
Department of Radiology, New York University School of
Medicine, New York, New York, United States,
3
Advanced
Clinical Imaging Technology, Siemens Healthcare IM BM
PI, Lausanne, Switzerland,
4
Department
of Cardiology, University Hospital (CHUV), University of
Lausanne (UNIL), Lausanne, Switzerland
A novel reconstruction framework that combines dynamic
compressed sensing and parallel imaging is integrated
with a free-running self-navigated 4D radial whole-heart
imaging technique for simultaneous coronary artery
visualization and cardiac function assessment. The
proposed framework enables a significant increase of the
temporal resolution, as well as a significant reduction
of streaking artifacts, thus increasing overall image
quality compared to the standard gridding
reconstruction. Initial results obtained in vivo and in
humans are presented.
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