Electrical properties based B1+ prediction for electrical properties tomography reconstruction evaluation

Purpose In MR electrical properties tomography (EPT), conductivity and permittivity are reconstructed from MR measurements. However, depending on the reconstruction method, reconstructed electrical properties (EPs) show large variability in vivo, reducing confidence in the reconstructed values for c...

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Published in:Magnetic resonance in medicine Vol. 94; no. 3; pp. 1269 - 1283
Main Authors: Meerbothe, Thierry G., Jung, Kyu‐Jin, Cui, Chuanjiang, Kim, Dong‐Hyun, Berg, Cornelis A. T., Mandija, Stefano
Format: Journal Article
Language:English
Published: Hoboken Wiley Subscription Services, Inc 01.09.2025
John Wiley and Sons Inc
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ISSN:0740-3194, 1522-2594
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Summary:Purpose In MR electrical properties tomography (EPT), conductivity and permittivity are reconstructed from MR measurements. However, depending on the reconstruction method, reconstructed electrical properties (EPs) show large variability in vivo, reducing confidence in the reconstructed values for clinical application in practice. To overcome this problem we present a method to evaluate the reconstructed EPs using a physics‐based B1+$$ {\mathrm{B}}_1^{+} $$ estimation model. Methods A physics‐based method using a finite difference based recurrent relation is used to estimate the B1+$$ {\mathrm{B}}_1^{+} $$ field from a set of given EPs and the boundary of the measured B1+$$ {\mathrm{B}}_1^{+} $$ field. Reconstructed EPs can be evaluated by comparing the estimated B1+$$ {\mathrm{B}}_1^{+} $$ field with the measured B1+$$ {\mathrm{B}}_1^{+} $$ field. The method was first validated in simulations and afterward tested using MRI data from phantoms and in vivo. Results The simulation experiments show that the B1+$$ {\mathrm{B}}_1^{+} $$ field can be accurately estimated, within 90 s for a typical brain at 1 mm3 isotropic resolution, when correct EPs are used as input. When incorrect EPs are used as input the estimated B1+$$ {\mathrm{B}}_1^{+} $$ fields shows differences with the measured B1+$$ {\mathrm{B}}_1^{+} $$ fields. These differences directly correspond to the errors in the underlying EPs, enabling detection of errors in the reconstructions. The results obtained in MRI experiments using phantoms and in vivo show the applicability of the method in practice. Conclusion With the proposed method, B1+$$ {\mathrm{B}}_1^{+} $$ fields can be accurately estimated from EPs. This approach can be used to evaluate EPT reconstructions and consequently gain more confidence in reconstructed EPs values in vivo.
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ISSN:0740-3194
1522-2594
DOI:10.1002/mrm.30520