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

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Title: Electrical properties based B1+ prediction for electrical properties tomography reconstruction evaluation.
Authors: Meerbothe, Thierry G.1,2 (AUTHOR) t.g.meerbothe@umcutrecht.nl, Jung, Kyu‐Jin3 (AUTHOR), Cui, Chuanjiang3 (AUTHOR), Kim, Dong‐Hyun3 (AUTHOR), van den Berg, Cornelis A. T.1,2 (AUTHOR), Mandija, Stefano1,2 (AUTHOR)
Source: Magnetic Resonance in Medicine. Sep2025, Vol. 94 Issue 3, p1269-1283. 15p.
Subjects: Electric conductivity, Finite difference method, Finite differences, Tomography, Magnetic resonance imaging
Abstract: 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. [ABSTRACT FROM AUTHOR]
Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: Electrical properties based B1+ prediction for electrical properties tomography reconstruction evaluation.
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  Data: <searchLink fieldCode="AR" term="%22Meerbothe%2C+Thierry+G%2E%22">Meerbothe, Thierry G.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<i> t.g.meerbothe@umcutrecht.nl</i><br /><searchLink fieldCode="AR" term="%22Jung%2C+Kyu‐Jin%22">Jung, Kyu‐Jin</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cui%2C+Chuanjiang%22">Cui, Chuanjiang</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kim%2C+Dong‐Hyun%22">Kim, Dong‐Hyun</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22van+den+Berg%2C+Cornelis+A%2E+T%2E%22">van den Berg, Cornelis A. T.</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Mandija%2C+Stefano%22">Mandija, Stefano</searchLink><relatesTo>1,2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Magnetic+Resonance+in+Medicine%22">Magnetic Resonance in Medicine</searchLink>. Sep2025, Vol. 94 Issue 3, p1269-1283. 15p.
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  Data: <searchLink fieldCode="DE" term="%22Electric+conductivity%22">Electric conductivity</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+difference+method%22">Finite difference method</searchLink><br /><searchLink fieldCode="DE" term="%22Finite+differences%22">Finite differences</searchLink><br /><searchLink fieldCode="DE" term="%22Tomography%22">Tomography</searchLink><br /><searchLink fieldCode="DE" term="%22Magnetic+resonance+imaging%22">Magnetic resonance imaging</searchLink>
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: 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. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Magnetic Resonance in Medicine is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1002/mrm.30520
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        Text: English
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        StartPage: 1269
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      – SubjectFull: Electric conductivity
        Type: general
      – SubjectFull: Finite difference method
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      – SubjectFull: Finite differences
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      – SubjectFull: Tomography
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      – SubjectFull: Magnetic resonance imaging
        Type: general
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      – TitleFull: Electrical properties based B1+ prediction for electrical properties tomography reconstruction evaluation.
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            NameFull: Meerbothe, Thierry G.
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            – D: 01
              M: 09
              Text: Sep2025
              Type: published
              Y: 2025
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