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| Home > Publications database > An investigation into the dependence of virtual observation point-based specific absorption rate calculation complexity on number of channels. |
| Home > Publications database > An investigation into the dependence of virtual observation point-based specific absorption rate calculation complexity on number of channels. |
| Journal Article | DKFZ-2022-02162 |
; ; ; ;
2023
Wiley-Liss
New York, NY [u.a.]
Abstract: This study aims to find a relation between the number of channels and the computational burden for specific absorption rate (SAR) calculation using virtual observation point-based SAR compression.Eleven different arrays of rectangular loops covering a cylinder of fixed size around the head of an anatomically correct voxel model were simulated. The resulting Q-matrices were compressed with 2 different compression algorithms, with the overestimation fixed to a certain fraction of worst-case SAR, median SAR, or minimum SAR. The latter 2 were calculated from 1e6 normalized random excitation vectors.The number of virtual observation points increased with the number of channels to the power of 2.3-3.7, depending on the compression algorithm when holding the relative error fixed. Together with the increase in the size of the Q-matrices (and therefore the size of the virtual observation points), the total increase in computational burden with the number of channels was to the power of 4.3-5.7.The computational cost emphasizes the need to use the best possible compression algorithms when moving to high channel counts.
Keyword(s): MRI ; SAR ; VOP compression ; computational burden
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