Meeting Banner
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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here