Journal Article

DKFZ-2021-00467

http://join2-wiki.gsi.de/foswiki/pub/Main/Artwork/join2_logo100x88.png Local SAR compression algorithm with improved compression, speed, and flexibility.

Orzada, S. (First author)DKFZ* ; Fiedler, T.DKFZ* ; Quick, H. H. ; Ladd, M. (Last author)DKFZ*

2021
Wiley-Liss New York, NY [u.a.]

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Please use a persistent id in citations: doi:10.1002/mrm.28739

Abstract: Local 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.

Keyword(s): MRI ; SAR ; VOP compression ; VOPs ; local SAR

Note: #EA:E020#LA:E020# / 86(1):561-568

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Contributing Institute(s):

1. E020 Med. Physik in der Radiologie (E020)

Research Program(s):

1. 315 - Bildgebung und Radioonkologie (POF4-315) (POF4-315)

Appears in the scientific report 2021

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Database coverage:
; BIOSIS Previews ; Biological Abstracts ; Clarivate Analytics Master Journal List ; Current Contents - Clinical Medicine ; Current Contents - Life Sciences ; DEAL Wiley ; Essential Science Indicators ; IF < 5 ; JCR ; Nationallizenz ; SCOPUS ; Science Citation Index Expanded ; Web of Science Core Collection

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