Global and peak local specific absorption rate control on parallel transmit systems using k-means SAR compression model.

Abstract:

PURPOSE:To improve the specific absorption rate (SAR) compression model capability in parallel transmission (pTx) MRI systems. METHODS:A k-means clustering method is proposed to group voxels with similar SAR behaviors in the scanned object, providing a controlled upper-bounded estimation of peak local SARs. This k-means compression model and the conventional virtual observation point (VOP) model were tested in a pTx MRI framework. The pTx pulse design with different SAR controlling schemes was simulated using a numerical human head model and an eight-channel 7T coil array. Multiple criteria (including RF power, global and peak local SARs, and excitation accuracy) were compared for the performance testing. RESULTS:The k-means compression model generated a narrower overestimation bound, leading to a more accurate local SAR estimation. Among different pTx pulse design approaches, the k-means compression model showed the best trade-off between the SAR and excitation accuracy. CONCLUSIONS:The developed SAR compression model is advantageous for pTx framework given the narrower overestimation bound and control over the compression ratio. Results also illustrate that a moderate increase of maximum RF power can be useful for reducing the maximum local SAR deposition.

journal_name

Magn Reson Med

authors

Mao X,Bari S,Love DJ,Rispoli JV

doi

10.1002/mrm.28456

subject

Has Abstract

pub_date

2021-02-01 00:00:00

pages

1093-1103

issue

2

eissn

0740-3194

issn

1522-2594

journal_volume

85

pub_type

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