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Abstract #3749

A faster VOP post-processing algorithm and its impact on supervision complexity

Stephan Orzada1, Thomas M. Fiedler1, and Mark E. Ladd1,2,3
1Medical Physics in Radiology, German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 3Faculty of Medicine, University of Heidelberg, Heidelberg, Germany

Synopsis

Keywords: Safety, Safety, VOP, SAR

Motivation: The complexity of SAR calculation increases dramatically with the number of channels in a parallel transmit system.

Goal(s): The goal of this work is to improve VOP post processing and investigate the impact of post processing on the complexity of SAR calculation with increasing number of channels.

Approach: An existing post-processing algorithm was improved by introducing a new criterion for upper boundedness from the literature. The new algorithm was used to investigate the increase in the number of VOPs with the channel count when median relative overestimation was kept constant.

Results: The number of VOPs increases logarithmically with the number of channels.

Impact: VOP compression is important for SAR supervision and constraint RF-pulse calculation. Using an improved post-processing algorithm, we show that the increase in the number of VOPs when going to higher channel count Nch can be reduced from Nch2.3 to log(Nch).

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