Abstract #2515
Respiratory Displacement-Dependent Weighting of the Center of K-Space for Improved Image Quality in Self-Navigated Golden Angle 3D Radial Whole-heart Coronary MRA
Jerome Chaptinel 1,2 , Davide Piccini 3,4 , Simone Coppo 1,2 , Gabriele Bonanno 1,2 , and Matthias Stuber 1,2
1
Department of Radiology, University Hospital
(CHUV) and University of Lausanne (UNIL), Lausanne,
Switzerland,
2
Center
for Biomedical Imaging (CIBM), Lausanne, Switzerland,
3
Advanced
Clinical Imaging Technology, Siemens Healthcare IM BM
PI, Lausanne, Switzerland,
4
Department
of Radiology, University Hospital (CHUV) and University
of Lausanne (UNIL) / Center for Biomedical Imaging
(CIBM), Lausanne, Switzerland
A novel approach to improve image quality of 1D
respiratory self-navigated whole-heart coronary MRI
using a KWIC-like technique is presented. Center of
k-space radial profiles are weighted according to the
breathing position in which they were acquired in order
to reduce the impact of large and more complex
respiratory displacements. This is possible thanks to
the uniform sampling over time and oversampling of the
center of k-space of a phyllotaxis 3D radial trajectory
in k-space. Such displacement-dependant weighting
improves vessel sharpness and CNR without the need of
scan prolongation or sophisticated motion correction.
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