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

Journal Article (2021)
Author(s)

Peter R.S. Stijnman (Eindhoven University of Technology, University Medical Center Utrecht)

S. Mandija (University Medical Center Utrecht)

Patrick S. Fuchs (TU Delft - Signal Processing Systems)

Cornelis A.T. van den Berg (University Medical Center Utrecht)

R.F. Remis (TU Delft - Signal Processing Systems)

Research Group
Signal Processing Systems
Copyright
© 2021 Peter R.S. Stijnman, Stefano Mandija, P.S. Fuchs, Cornelis A.T. van den Berg, R.F. Remis
DOI related publication
https://doi.org/10.1002/mrm.28619
More Info
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Publication Year
2021
Language
English
Copyright
© 2021 Peter R.S. Stijnman, Stefano Mandija, P.S. Fuchs, Cornelis A.T. van den Berg, R.F. Remis
Research Group
Signal Processing Systems
Issue number
5
Volume number
85
Pages (from-to)
2856-2868
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Abstract

Purpose: To remove the necessity of the tranceive phase assumption for CSI-EPT and show electrical properties maps reconstructed from measured data obtained using a standard 3T birdcage body coil setup. Methods: The existing CSI-EPT algorithm is reformulated to use the transceive phase rather than relying on the transceive phase assumption. Furthermore, the radio frequency (RF)-shield is numerically implemented to accurately model the RF fields inside the MRI scanner. We verify that the reformulated two-dimensional (2D) CSI-EPT algorithm can reconstruct electrical properties maps given 2D electromagnetic simulations. Afterward, the algorithm is tested with three-dimensional (3D) FDTD simulations to investigate if the 2D CSI-EPT can retrieve the electrical properties for 3D RF fields. Finally, an MR experiment at 3T with a phantom is performed. Results: From the results of the 2D simulations, it is seen that CSI-EPT can reconstruct the electrical properties using MRI accessible quantities. For 3D simulations, it is observed that the electrical properties are underestimated, nonetheless, CSI-EPT has a lower standard deviation than the standard Helmholtz based methods. Finally, the first CSI-EPT reconstructions based on measured data are presented showing comparable accuracy and precision to reconstructions based on simulated data, and demonstrating the feasibility of CSI-EPT. Conclusions: The CSI-EPT algorithm was rewritten to use MRI accessible quantities. This allows for CSI-EPT to fully exploit the benefits of the higher static magnetic field strengths with a standard quadrature birdcage coil setup.