Combining deep learning and 3D contrast source inversion in MR-based electrical properties tomography.
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| Title: | Combining deep learning and 3D contrast source inversion in MR-based electrical properties tomography. |
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| Authors: | Leijsen R; Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, The Netherlands., van den Berg C; Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.; Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, Utrecht University, Utrecht, The Netherlands., Webb A; Department of Radiology, C.J. Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, The Netherlands., Remis R; Circuits and Systems Group, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, Delft, The Netherlands., Mandija S; Department of Radiotherapy, Division of Imaging & Oncology, University Medical Center Utrecht, Utrecht, The Netherlands.; Computational Imaging Group for MR Diagnostics & Therapy, Center for Image Sciences, Utrecht University, Utrecht, The Netherlands. |
| Source: | NMR in biomedicine [NMR Biomed] 2022 Apr; Vol. 35 (4), pp. e4211. Date of Electronic Publication: 2019 Dec 16. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: Wiley Country of Publication: England NLM ID: 8915233 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1099-1492 (Electronic) Linking ISSN: 09523480 NLM ISO Abbreviation: NMR Biomed Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| ISSN: | 1099-1492 |
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| DOI: | 10.1002/nbm.4211 |
