Accelerated Reduced Field of View T2-Weighted Imaging of Pancreaticobiliary Disorders Using Deep Learning-Based Reconstruction: Reduction of Acquisition Time and Improvement of Image Quality
The perfect balance of image quality, scanning time, and lesion detection rate can be achieved by using DLR in pancreaticobiliary rFOV T2WI.
Authors
- Dan Yu (ORCID: https://orcid.org/0000-0001-5380-465X)
- Nan Wang (ORCID: https://orcid.org/0000-0002-0983-3389)
- Xiukun Hou
- Ailian Liu
- Jun Li
- Miaotong Liu
- Qingwei Song
- Xue Ren
- Ying Zhao
Institutions
- Dalian Medical University (CN)
- Liaoning University of Technology (CN)
- United Imaging Healthcare (China) (CN)
- First Affiliated Hospital of Dalian Medical University (CN)
- Artificial Intelligence in Medicine (Canada) (CA)
Publication Details
- Journal
- Canadian Association of Radiologists Journal
- Published
- 2026-01-28
- DOI
- https://doi.org/10.1177/08465371251407889
- Primary Topic
- Pancreatic and Hepatic Oncology Research
- Type
- article
- Field-Weighted Citation Impact
- 0.00