ArticleMagma (New York, N.Y.)2021
Local SAR compression with overestimation control to reduce maximum relative SAR overestimation and improve multi-channel RF array performance.
Article in Magma (New York, N.Y.), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Real-time specific absorption rate supervision for a 32-channel RF transmit system with virtual observation points.Magnetic resonance in medicine · 2025Article
- Local and whole-body SAR in UHF body imaging: Implications for SAR matrix compression.Magnetic resonance in medicine · 2025Article
- ImprovedMagnetic resonance in medicine · 2024Article
- Effect of subject-specific head morphometry on specific absorption rate estimates in parallel-transmit MRI at 7 T.Magnetic resonance in medicine · 2023Article
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5 authors.
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Abstract
objectiveIn 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.
methodTwo 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.
resultComparison 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.
conclusionThe proposed strategies outperform a previously published strategy and can improve the SAR compression where maximum relative overestimation constrains the performance of parallel transmission.
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