Generalizable, sequence-invariant deep learning image reconstruction for subspace-constrained quantitative MRI.

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作者： Zheyuan,Hu ^[1] ; Zihao,Chen ^[1] ; Tianle,Cao ^[1] ; Hsu-Lei,Lee ^[2] ; Yibin,Xie ^[2] ; Debiao,Li ^[3] ; Anthony G,Christodoulou ^[1]

作者单位： Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.;Department of Bioengineering, University of California, Los Angeles, California, USA.;Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA. ^[1] Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA. ^[2] Department of Bioengineering, University of California, Los Angeles, California, USA.;Biomedical Imaging Research Institute, Cedars-Sinai Medical Center, Los Angeles, California, USA. ^[3]

关键词 MR Multitasking cardiac MRI deep learning deep subspace learning multi‐parametric mapping subspace‐constrained quantitative MRI

DOI 10.1002/mrm.30433

PMID 39834093

发布时间 2025-01-23

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Magnetic resonance in medicine

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Generalizable, sequence-invariant deep learning image reconstruction for subspace-constrained quantitative MRI.

Magnetic resonance in medicine

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Magnetic resonance in medicine

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Generalizable, sequence-invariant deep learning image reconstruction for subspace-constrained quantitative MRI.

Magnetic resonance in medicine

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Magnetic resonance in medicine

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