Enhancing compressed sensing and parallel imaging accelerated magnetic resonance angiography using a dual-domain projection generative adversarial network.

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Bibliographic Details
Title: Enhancing compressed sensing and parallel imaging accelerated magnetic resonance angiography using a dual-domain projection generative adversarial network.
Authors: Xu L; Shanghai Key Laboratory of Magnetic Resonance, School of Physics, East China Normal University, Shanghai, China.; Institute of Magnetic Resonance and Molecular Imaging in Medicine, East China Normal University, Shanghai, China., Bian Y; Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.; Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China., Gan K; RadioDynamic Medical, Shanghai, China., Pan B; RadioDynamic Medical, Shanghai, China., Yeom KW; Department of Radiology, Lucile Packard Children's Hospital, Stanford, California, USA., Moseley M; Department of Radiology, Stanford University, Stanford, California, USA., Yang Q; Department of Radiology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, China.; Key Lab of Medical Engineering for Cardiovascular Disease, Ministry of Education, Beijing, China., Gong NJ; Shanghai Key Laboratory of Magnetic Resonance, School of Physics, East China Normal University, Shanghai, China.; Institute of Magnetic Resonance and Molecular Imaging in Medicine, East China Normal University, Shanghai, China.
Source: Medical physics [Med Phys] 2026 Jul; Vol. 53 (7), pp. e70567.
Publication Type: Journal Article
Journal Info: Publisher: John Wiley and Sons, Inc Country of Publication: United States NLM ID: 0425746 Publication Model: Print Cited Medium: Internet ISSN: 2473-4209 (Electronic) Linking ISSN: 00942405 NLM ISO Abbreviation: Med Phys Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2473-4209
DOI:10.1002/mp.70567