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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...

詳細記述

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書誌詳細
出版年:IEEE Trans Comput Imaging
主要な著者: Poddar, Sunrita, Mohsin, Yasir Q, Ansah, Deidra, Thattaliyath, Bijoy, Ashwath, Ravi, Jacob, Mathews
フォーマット: Artigo
言語:Inglês
出版事項: 2019
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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