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000167633 1001_ $$0P:(DE-He78)7985b432d853ab8929db0f1cb121667f$$aOrzada, Stephan$$b0$$eFirst author$$udkfz
000167633 245__ $$aLocal SAR compression algorithm with improved compression, speed, and flexibility.
000167633 260__ $$aNew York, NY [u.a.]$$bWiley-Liss$$c2021
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000167633 520__ $$aLocal specific absorption rate (SAR) compression algorithms are essential for enabling online SAR monitoring in parallel transmission. A better compression resulting in a lower number of virtual observation points improves speed of SAR calculation for online supervision and pulse design.An iterative expansion of an existing algorithm presented by Lee et al is proposed in this work. The original algorithm is used within a loop, making use of the virtual observation points from the previous iteration as the starting subvolume, while decreasing the overestimation with each iteration. This algorithm is evaluated on the SAR matrices of three different simulated arrays.The number of virtual observation points 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.The new algorithm improves the original algorithm in terms of compression rate and speed.
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000167633 650_7 $$2Other$$aMRI
000167633 650_7 $$2Other$$aSAR
000167633 650_7 $$2Other$$aVOP compression
000167633 650_7 $$2Other$$aVOPs
000167633 650_7 $$2Other$$alocal SAR
000167633 7001_ $$0P:(DE-He78)bcbe9862276365dd99a98b48449fd046$$aFiedler, Thomas$$b1$$udkfz
000167633 7001_ $$aQuick, Harald H$$b2
000167633 7001_ $$0P:(DE-He78)022611a2317e4de40fd912e0a72293a8$$aLadd, Mark$$b3$$eLast author$$udkfz
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