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Learned Proximal Networks for Quantitative Susceptibility Mapping
Quantitative Susceptibility Mapping (QSM) estimates tissue magnetic susceptibility distributions from Magnetic Resonance (MR) phase measurements by solving an ill-posed dipole inversion problem. Conventional single orientation QSM methods usually employ regularization strategies to stabilize such in...
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| 出版年: | Med Image Comput Comput Assist Interv |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2020
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7647124/ https://ncbi.nlm.nih.gov/pubmed/33163993 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/978-3-030-59713-9_13 |
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