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Unsupervised reconstruction of accelerated cardiac cine MRI using neural fields.

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Bibliographic Details
Title: Unsupervised reconstruction of accelerated cardiac cine MRI using neural fields.
Authors: Catalán T; Millennium Nucleus for Applied Control and Inverse Problems, Santiago, Chile; Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile., Courdurier M; Department of Mathematics, Pontificia Universidad Católica de Chile, Santiago, Chile., Osses A; Center for Mathematical Modeling and Department of Mathematical Engineering, Universidad de Chile, Santiago, Chile., Fotaki A; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom., Botnar R; Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile; School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile., Sahli-Costabal F; Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile; Institute for Biological and Medical Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile; School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile. Electronic address: fsc@ing.puc.cl., Prieto C; Millennium Nucleus for Applied Control and Inverse Problems, Santiago, Chile; Millennium Institute for Intelligent Healthcare Engineering, Santiago, Chile; Department of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, King's College London, London, United Kingdom; School of Engineering, Pontificia Universidad Católica de Chile, Santiago, Chile.
Source: Computers in biology and medicine [Comput Biol Med] 2025 Feb; Vol. 185, pp. 109467. Date of Electronic Publication: 2024 Dec 12.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Elsevier Country of Publication: United States NLM ID: 1250250 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-0534 (Electronic) Linking ISSN: 00104825 NLM ISO Abbreviation: Comput Biol Med Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1879-0534
DOI:10.1016/j.compbiomed.2024.109467