PRACTICAL PARALLEL IMAGING COMPRESSED SENSING MRI: SUMMARY OF TWO YEARS OF EXPERIENCE IN ACCELERATING BODY MRI OF PEDIATRIC PATIENTS.
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 re-construction 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.
Radiology, Stanford University.
Ss
S
Vasanawala
Electrical Engineering and Computer Science, University of California, Berkeley.
Mj
M
Murphy
Radiology, Stanford University.
Mt
M
Alley
GE Healthcare.
P
P
Lai
Electrical Engineering and Computer Science, University of California, Berkeley.
K
K
Keutzer
Electrical Engineering, Stanford University.
Jm
J
Pauly
Electrical Engineering and Computer Science, University of California, Berkeley.
M
M
Lustig
Compressed Sensing; Parallel Imaging; Pediatric MRI; SPIRiT