Name | Modified | Size | Downloads / Week |
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Readme.txt | 2021-03-01 | 741 Bytes | |
VOP_compression_Lee_SOR.m | 2020-11-12 | 14.1 kB | |
VOP_compression_iterative.m | 2020-11-12 | 15.8 kB | |
Totals: 3 Items | 30.6 kB | 0 |
Iterative VOP algorithm. Please cite Orzada S, Fielder TM, Quick HH, Ladd ME, "A local SAR compression algorithm with improved compression, speed and flexibility", https://Doi.org/10.1002/mrm.28739. This new algorithm is an iterative expansion of the exisisting local SAR compression algorithm for MRI proposed by Lee et al. ( https://doi.org/10.1002/mrm.23140) VOP_compression_Lee_SOR.m is an implementation of Lee's algorithm. VOP_compression_iterative.m is the proposed new algorithm. The number of VOPs is approximately halved with the new algorithm, while at the same time the compression time is reduced with speed-up factors of up to 2.5. Code written by Stephan Orzada at German Cancer Research Center (DKFZ).