Title | ||
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Sampling Strategies To Enable Computationally Efficient Space-Rip For 3d Parallel Mr Imaging |
Abstract | ||
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New MR acquisition techniques are enabling fast acquisition of data from an entire 3D volumes. Parallel MR imaging methods can provide additional acceleration to the data acquisition rate. However, the large computational memory requirements associated with 3D imaging requires new efficient reconstruction techniques. This manuscript presents an efficient implementation of SPACE-RIP for the rapid reconstruction of sub-sampled 3D MR data. Uniform sub-sampling effectively decouples the SPACE-RIP linear system of equations into a number of smaller systems which can each be solved independently, thus requiring fewer computational resources. We present a particular phase-encode sampling pattern to capitalize on this effect which allows SPACE-RIP to be computationally competitive with SENSE in 3D imaging, while providing the added benefits of self-calibrated coil sensitivity maps and improved artifact suppression through irregular sub-sampling. |
Year | DOI | Venue |
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2005 | 10.1109/ICASSP.2005.1415361 | 2005 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, VOLS 1-5: SPEECH PROCESSING |
Keywords | Field | DocType |
radiology,biomedical engineering,image reconstruction,linear systems,sampling methods,data acquisition,biomedical imaging,sense,3d imaging,concurrent computing | Linear system,Medical imaging,Computer science,Computational science,Artificial intelligence,Iterative reconstruction,Computer vision,System of linear equations,Pattern recognition,Data acquisition,Acceleration,Sampling (statistics),Concurrent computing | Conference |
ISSN | Citations | PageRank |
1520-6149 | 0 | 0.34 |
References | Authors | |
2 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
W. Scott Hoge | 1 | 59 | 12.58 |
Lei Zhao | 2 | 0 | 0.34 |
Dana H Brooks | 3 | 215 | 61.52 |
Walid E. Kyriakos | 4 | 5 | 2.20 |