Surface Coil Intensity Correction for MRI
Fuente:
arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2023
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| _version_ | 1866913790104174592 |
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| author | Lei, Xuan Schniter, Philip Chen, Chong Sultan, Muhammad A. Ahmad, Rizwan |
| author_facet | Lei, Xuan Schniter, Philip Chen, Chong Sultan, Muhammad A. Ahmad, Rizwan |
| contents | Modern MRI scanners utilize one or more arrays of small receive-only coils to collect k-space data. The sensitivity maps of the coils, when estimated using traditional methods, differ from the true sensitivity maps, which are generally unknown. Consequently, the reconstructed MR images exhibit undesired spatial variation in intensity. These intensity variations can be at least partially corrected using pre-scan data. In this work, we propose an intensity correction method that utilizes pre-scan data. For demonstration, we apply our method to a digital phantom, as well as to cardiac MRI data collected on a commercial scanner by Siemens Healthineers. The code is available at https://github.com/OSU-MR/SCC. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2312_00936 |
| institution | arXiv |
| publishDate | 2023 |
| record_format | arxiv |
| spellingShingle | Surface Coil Intensity Correction for MRI Lei, Xuan Schniter, Philip Chen, Chong Sultan, Muhammad A. Ahmad, Rizwan Image and Video Processing Modern MRI scanners utilize one or more arrays of small receive-only coils to collect k-space data. The sensitivity maps of the coils, when estimated using traditional methods, differ from the true sensitivity maps, which are generally unknown. Consequently, the reconstructed MR images exhibit undesired spatial variation in intensity. These intensity variations can be at least partially corrected using pre-scan data. In this work, we propose an intensity correction method that utilizes pre-scan data. For demonstration, we apply our method to a digital phantom, as well as to cardiac MRI data collected on a commercial scanner by Siemens Healthineers. The code is available at https://github.com/OSU-MR/SCC. |
| title | Surface Coil Intensity Correction for MRI |
| topic | Image and Video Processing |
| url | https://arxiv.org/abs/2312.00936 |