Deep learning-based magnetic resonance imaging reconstruction for improving the image quality of reduced-field-of-view diffusion-weighted imaging of the pancreas

doi:10.4329/wjr.v15.i12.338

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World Journal of Radiology

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1949-8470

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Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA

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World J Radiol. Dec 28, 2023; 15(12): 338-349
Published online Dec 28, 2023. doi: 10.4329/wjr.v15.i12.338

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Figure 1 A summary flowchart of the patient selection. MRI: Magnetic resonance imaging; MR: Magnetic resonance; DLR: Deep learning-based reconstruction.

Citation: Takayama Y, Sato K, Tanaka S, Murayama R, Goto N, Yoshimitsu K. Deep learning-based magnetic resonance imaging reconstruction for improving the image quality of reduced-field-of-view diffusion-weighted imaging of the pancreas. World J Radiol 2023; 15(12): 338-349
URL: https://www.wjgnet.com/1949-8470/full/v15/i12/338.htm
DOI: https://dx.doi.org/10.4329/wjr.v15.i12.338

Takayama Y, Sato K, Tanaka S, Murayama R, Goto N, Yoshimitsu K. Deep learning-based magnetic resonance imaging reconstruction for improving the image quality of reduced-field-of-view diffusion-weighted imaging of the pancreas. World J Radiol 2023; 15(12): 338-349 [PMID: 38179202 DOI: 10.4329/wjr.v15.i12.338]

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