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Manifold recovery using kernel low-rank regularization: application to dynamic imaging
We introduce a novel kernel low-rank algorithm to recover free-breathing and ungated dynamic MRI data from highly undersampled measurements. The image frames in the free breathing and ungated dataset are assumed to be points on a bandlimited manifold. We show that the non-linear features of these im...
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| 出版年: | IEEE Trans Comput Imaging |
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| 主要な著者: | , , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7990121/ https://ncbi.nlm.nih.gov/pubmed/33768137 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/tci.2019.2893598 |
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