Stephan Orzada1, Thomas M. Fiedler1, Harald H. Quick2,3, and Mark E. Ladd1,2,4,5
1Medical Physics in Radiology (E020), German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Erwin L. Hahn Institute for MRI, University Duisburg-Essen, Essen, Germany, 3High-Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany, 4Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 5Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
1Medical Physics in Radiology (E020), German Cancer Research Center (DKFZ), Heidelberg, Germany, 2Erwin L. Hahn Institute for MRI, University Duisburg-Essen, Essen, Germany, 3High-Field and Hybrid MR Imaging, University Hospital Essen, Essen, Germany, 4Faculty of Physics and Astronomy, University of Heidelberg, Heidelberg, Germany, 5Faculty of Medicine, University of Heidelberg, Heidelberg, Germany
We present an enhancement to Lee’s SAR compression algorithm
that increases compression efficiency by a factor of 2, while at the same time increasing comnpression speed and flexibility by
iteratively reducing the overestimation.
Schematic of the proposed VOP
algorithm. In its core it uses Lee’s algorithm (2) with a speed
enhancement proposed by Kuehne et al. (4).
Comparison of the compression
achieved with the original (Lee) and the enhanced algorithm for all three
arrays. The left column shows the results in terms of number of VOPs, the right
column the respective calculation time. For
comparison: for the lowest overestimation (0.671% or 2.68%), Eichfelder’s
algorithm (not in plot) concluded with 10,788 VOPs after 362 min
(8-channel local array), 6,270 VOPs after 527 min (8-channel remote
array), and 2,802 VOPs after 441 min (16-channel array).
