Literature DB >> 28186884

CSI-EPT in Presence of RF-Shield for MR-Coils.

Alessandro Arduino, Luca Zilberti, Mario Chiampi, Oriano Bottauscio.   

Abstract

Contrast source inversion electric properties tomography (CSI-EPT) is a recently developed technique for the electric properties tomography that recovers the electric properties distribution starting from measurements performed by magnetic resonance imaging scanners. This method is an optimal control approach based on the contrast source inversion technique, which distinguishes itself from other electric properties tomography techniques for its capability to recover also the local specific absorption rate distribution, essential for online dosimetry. Up to now, CSI-EPT has only been described in terms of integral equations, limiting its applicability to homogeneous unbounded background. In order to extend the method to the presence of a shield in the domain-as in the recurring case of shielded radio frequency coils-a more general formulation of CSI-EPT, based on a functional viewpoint, is introduced here. Two different implementations of CSI-EPT are proposed for a 2-D transverse magnetic model problem, one dealing with an unbounded domain and one considering the presence of a perfectly conductive shield. The two implementations are applied on the same virtual measurements obtained by numerically simulating a shielded radio frequency coil. The results are compared in terms of both electric properties recovery and local specific absorption rate estimate, in order to investigate the requirement of an accurate modeling of the underlying physical problem.

Mesh:

Year:  2017        PMID: 28186884     DOI: 10.1109/TMI.2017.2665688

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  2 in total

1.  Transceive phase corrected 2D contrast source inversion-electrical properties tomography.

Authors:  Peter R S Stijnman; Patrick S Fuchs; Cornelis A T van den Berg; Rob F Remis
Journal:  Magn Reson Med       Date:  2020-12-06       Impact factor: 4.668

2.  Combining deep learning and 3D contrast source inversion in MR-based electrical properties tomography.

Authors:  Reijer Leijsen; Cornelis van den Berg; Andrew Webb; Rob Remis; Stefano Mandija
Journal:  NMR Biomed       Date:  2019-12-16       Impact factor: 4.478

  2 in total

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