Application of deep learning reconstruction in abdominal magnetic resonance cholangiopancreatography for image quality improvement and acquisition time reduction.

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Bibliographic Details
Title: Application of deep learning reconstruction in abdominal magnetic resonance cholangiopancreatography for image quality improvement and acquisition time reduction.
Authors: Chen PT; Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan; Department of Medical Imaging, National Taiwan University Cancer Center and National Taiwan University College of Medicine, Taipei, Taiwan; Department of Medical Imaging, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan., Yeh CY; Department of Medical Imaging, National Taiwan University Cancer Center and National Taiwan University College of Medicine, Taipei, Taiwan., Chang YC; Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan; Department of Medical Imaging, National Taiwan University Cancer Center and National Taiwan University College of Medicine, Taipei, Taiwan; Department of Medical Imaging, National Taiwan University Hospital Hsinchu Branch, Hsinchu, Taiwan., Chen P; Internal Medicine, Chicago Medical School Internal Medicine Residency Program at Northwestern Mchenry Hospital, McHenry, USA., Lee CW; GE Healthcare, Taipei, Taiwan., Shieh CC; GE Healthcare, Taipei, Taiwan., Lin CY; GE Healthcare, Taipei, Taiwan., Liu KL; Department of Medical Imaging, National Taiwan University Hospital and National Taiwan University College of Medicine, Taipei, Taiwan; Department of Medical Imaging, National Taiwan University Cancer Center and National Taiwan University College of Medicine, Taipei, Taiwan. Electronic address: kaolangliu@gmail.com.
Source: Journal of the Formosan Medical Association = Taiwan yi zhi [J Formos Med Assoc] 2025 Dec; Vol. 124 (12), pp. 1141-1148. Date of Electronic Publication: 2024 Oct 25.
Publication Type: Journal Article; Comparative Study
Journal Info: Publisher: Formosan Medical Association, Elsevier Country of Publication: Singapore NLM ID: 9214933 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 0929-6646 (Print) Linking ISSN: 09296646 NLM ISO Abbreviation: J Formos Med Assoc Subsets: MEDLINE
Database: MEDLINE Ultimate
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