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Transceive phase corrected 2D contrast source inversion‐electrical properties tomography
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 r...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898605/ https://www.ncbi.nlm.nih.gov/pubmed/33280166 http://dx.doi.org/10.1002/mrm.28619 |
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author | Stijnman, Peter R. S. Stefano Mandija, Fuchs, Patrick S. van den Berg, Cornelis A. T. Remis, Rob F. |
author_facet | Stijnman, Peter R. S. Stefano Mandija, Fuchs, Patrick S. van den Berg, Cornelis A. T. Remis, Rob F. |
author_sort | Stijnman, Peter R. S. |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7898605 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78986052021-03-03 Transceive phase corrected 2D contrast source inversion‐electrical properties tomography Stijnman, Peter R. S. Stefano Mandija, Fuchs, Patrick S. van den Berg, Cornelis A. T. Remis, Rob F. Magn Reson Med Full Papers—Computer Processing and Modeling 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. John Wiley and Sons Inc. 2020-12-06 2021-05 /pmc/articles/PMC7898605/ /pubmed/33280166 http://dx.doi.org/10.1002/mrm.28619 Text en © 2020 The Authors. Magnetic Resonance in Medicine published by Wiley Periodicals LLC on behalf of International Society for Magnetic Resonance in Medicine This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Full Papers—Computer Processing and Modeling Stijnman, Peter R. S. Stefano Mandija, Fuchs, Patrick S. van den Berg, Cornelis A. T. Remis, Rob F. Transceive phase corrected 2D contrast source inversion‐electrical properties tomography |
title | Transceive phase corrected 2D contrast source inversion‐electrical properties tomography |
title_full | Transceive phase corrected 2D contrast source inversion‐electrical properties tomography |
title_fullStr | Transceive phase corrected 2D contrast source inversion‐electrical properties tomography |
title_full_unstemmed | Transceive phase corrected 2D contrast source inversion‐electrical properties tomography |
title_short | Transceive phase corrected 2D contrast source inversion‐electrical properties tomography |
title_sort | transceive phase corrected 2d contrast source inversion‐electrical properties tomography |
topic | Full Papers—Computer Processing and Modeling |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7898605/ https://www.ncbi.nlm.nih.gov/pubmed/33280166 http://dx.doi.org/10.1002/mrm.28619 |
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