Local SAR compression with overestimation control to reduce maximum relative SAR overestimation and improve multi-channel RF array performance
Magnetic Resonance Materials in Physics Biology and Medicine, vol. 34, pp. 153–163
Abstract
OBJECTIVE: In local SAR compression algorithms, the overestimation is generally not linearly dependent on actual local SAR. This can lead to large relative overestimation at low actual SAR values, unnecessarily constraining transmit array performance. METHOD: Two strategies are proposed to reduce maximum relative overestimation for a given number of VOPs. The first strategy uses an overestimation matrix that roughly approximates actual local SAR; the second strategy uses a small set of pre-calculated VOPs as the overestimation term for the compression. RESULT: Comparison with a previous method shows that for a given maximum relative overestimation the number of VOPs can be reduced by around 20% at the cost of a higher absolute overestimation at high actual local SAR values. CONCLUSION: The proposed strategies outperform a previously published strategy and can improve the SAR compression where maximum relative overestimation constrains the performance of parallel transmission.
Authors 5
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Stephan Orzada corresponding
Erwin L. Hahn Institute for Magnetic Resonance Imaging · Essen University Hospital · University of Duisburg-Essen
Affiliation as printed
Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Kokereiallee 7, 45141, Essen, Germany. Stephan.orzada@uni-due.de
High-Field and Hybrid MR Imaging, University Hospital Essen, 45147, Essen, Germany. Stephan.orzada@uni-due.de
Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Kokereiallee 7, 45141, Essen, Germany
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Affiliation as printed
Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
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Andreas K. Bitz Aachen Electromagnetic Theory and Applied Mathematics Faculty of Electrical Engineering and Information Technology
Affiliation as printed
Electromagnetic Theory and Applied Mathematics, Faculty of Electrical Engineering and Information Technology, FH Aachen, University of Applied Sciences, 52066, Aachen, Germany
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Erwin L. Hahn Institute for Magnetic Resonance Imaging · German Cancer Research Center · Heidelberg University · University of Duisburg-Essen
Affiliation as printed
Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Kokereiallee 7, 45141, Essen, Germany
Faculty of Medicine, University of Heidelberg, Im Neuenheimer Feld 672, 69120, Heidelberg, Germany
Faculty of Physics and Astronomy, University of Heidelberg, Im Neuenheimer Feld 226, 69120, Heidelberg, Germany
Medical Physics in Radiology, German Cancer Research Center (DKFZ), Im Neuenheimer Feld 280, 69120, Heidelberg, Germany
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Erwin L. Hahn Institute for Magnetic Resonance Imaging · Essen University Hospital · University of Duisburg-Essen
Affiliation as printed
Erwin L. Hahn Institute for Magnetic Resonance Imaging, University Duisburg-Essen, Kokereiallee 7, 45141, Essen, Germany
High-Field and Hybrid MR Imaging, University Hospital Essen, 45147, Essen, Germany
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