Truncated enhanced constraint for low-rank plus sparse in cardiac dynamic MRI reconstruction.

Runyu Yang, Haozhong Sun, Xiaoqi Lin, Haokun Li, Huijun Chen

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Article in Magnetic resonance letters, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 authors.

Runyu YangCenter for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, 100080, China.

Haozhong SunCenter for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, 100080, China.

Xiaoqi LinCenter for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, 100080, China.

Haokun LiCenter for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, 100080, China.

Huijun ChenCenter for Biomedical Imaging Research, Department of Biomedical Engineering, Tsinghua University, Beijing, 100080, China.

Funding

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6 · The paper itself

Abstract

Cardiac dynamic MRI has been widely used in cine and perfusion imaging, in which low-rank and sparse priors play an important role in reconstructing dynamic images with high temporal and spatial resolution from undersampled acquisition. However, the accuracy of singular value estimation may greatly affect the precision of low-rank regularization, resulting in suboptimal reconstruction. A novel reconstruction method employing truncated enhanced constraint for low-rank plus sparse method in cardiac dynamic MRI reconstruction (TRIONES) was proposed to accurately estimate the rank function for dynamic MRI (dMRI) reconstruction. TRIONES uses truncated nuclear norm to assign different shrink values to different singular vectors, preserving the essential image information while effectively eliminating noise. The proposed method was validated in simulation and

Indexed as

Dynamic MRLow-rankNuclear norm minimizationSingular valuesSparsity

Identifiers

PMID42221018

DOI10.1016/j.mrl.2025.200241

PMCPMC13216832

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LicenceCC BY-NC-ND

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.