Meeting Banner
Abstract #0568

Rapid Free-Breathing Dynamic Contrast-Enhanced MRI Using Motion-Resolved Compressed Sensing

Li Feng 1 , Hersh Chandarana 1 , Davide Piccini 2,3 , Justin Ream 1 , Daniel K Sodickson 1 , and Ricardo Otazo 1

1 Center for Advanced Imaging Innovation and Research (CAI2R), Department of Radiology, New York University School of Medicine, New York, NY, United States, 2 Advanced Clinical Imaging Technology, Siemens Healthcare IM BM PI, Lausanne, Switzerland, 3 Department of Radiology, University Hospital (CHUV) and University of Lausanne (UNIL) / Center for Biomedical Imaging (CIBM), Lausanne, Switzerland

This work proposes a novel framework for free-breathing 3D golden-angle radial dynamic contrast-enhanced MRI that employs respiratory motion sorting instead of explicit motion correction. The continuously acquired k-space data are sorted into different contrast-enhancement phases at multiple respiratory states using the self-navigation properties of radial imaging. The undersampled five-dimensional dataset (x-y-z-contrast-respiration) is reconstructed using a multidimensional compressed sensing approach that exploits sparsity along both contrast-enhancement and respiratory motion dimensions. The performance of the proposed approach is demonstrated for abdominal imaging using two types of 3D golden-angle radial sampling schemes that are based on stack-of-stars and spiral phyllotaxis patterns.

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

Join Here