Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients
Radiology, Stanford University, USA
IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011
@inproceedings{vasanawala2011practical,
title={Practical parallel imaging compressed sensing MRI: Summary of two years of experience in accelerating body MRI of pediatric patients},
author={Vasanawala, SS and Murphy, MJ and Alley, MT and Lai, P. and Keutzer, K. and Pauly, JM and Lustig, M.},
booktitle={Biomedical Imaging: From Nano to Macro, 2011 IEEE International Symposium on},
pages={1039–1043},
year={2011},
organization={IEEE}
}
For the last two years, we have been experimenting with applying compressed sensing parallel imaging for body imaging of pediatric patients. It is a joint-effort by teams from UC Berkeley, Stanford University and GE Healthcare. This paper aims to summarize our experience so far. We describe our acquisition approach: 3D spoiled-gradient-echo with poisson-disc random undersampling of the phase encodes. Our reconstruction approach: l1-SPIRiT, an iterative autocalibrating parallel imaging reconstruction that enforces both data consistency and joint-sparsity in the wavelet domain. Our implementation: an on-line parallelized implementation of l1-SPIRiT on multi-core CPU and General Purpose Graphics Processors (GPGPU) that achieves sub-minute 3D reconstructions with 8-channels. Clinical results showing higher quality reconstruction and better diagnostic confidence than parallel imaging alone at accelerations on the order of number of coils.
June 21, 2011 by hgpu
