Efficient Local SAR Prediction Based on Anatomical Differences and Model Order Reduction

Poster (2020)

Authors

W.M. Brink

Jeroen van Gemert

A. Webb Signal Processing Systems -

R.F. Remis Signal Processing Systems -

Research Group

Signal Processing Systems () (TU Delft)

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http://resolver.tudelft.nl/uuid:b2cf489d-5f05-48ca-99da-beb076f3d596

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Published Date

2020

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Signal Processing Systems

Abstract

An efficient approach to local SAR prediction is presented based on anatomical differences and model order reduction, which substantially reduces the memory footprint of this framework. The reduced order model can be solved using a direct inverse, which allows solving for the RF fields for multiple transmit channels simultaneously, which significantly improves the scalability in view of upcoming high field systems with an increasing number of RF transmit channels.