Cape Town - 2026 ISMRM-ISMRT Annual Meeting and Exhibition
9 May 2026 – 14 May 2026 · Cape Town, South Africa
662-04-011 ISMRM Abstract

Deep Learning–Based Accelerated Diffusion-Weighted Imaging for Liver Lesion Evaluation: Improved Image Quality and Diagnostic

Primary: Diffusion - Diffusion Reconstruction
Secondary: Body - Liver
662-04-011 · Artificial Intelligence-Based Image Reconstruction in the Body · Thursday, 14 May, 2:35 PM–3:30 PM · Digital Posters Row C
Keywords: Deep learning reconstruction Liver DWI Acceleration Diagnostic confidence
Accepted
Wenjie Xu 1, Fuquan Wei2,3, Guoqun Mao3, Yijiang Huang3, Nan Chen2,3,4, Yunzhu Wu5,6, Thomas Benkert7,8
1Department of Radiology,, Tongde Hospital of Zhejiang Province, Hangzhou, China
2Tongde Hospital of Zhejiang Province, Hangzhou, China
3Department of Radiology, Tongde Hospital of Zhejiang Province, Hangzhou, China
4Zhejiang Chinese Medicine University, Hangzhou, China
5MR Research Collaboration Team, Shanghai, China
6Research Collaboration Team, Siemens Healthineers, Shanghai, China
7MR Application Predevelopment, Siemens Healthcare Ltd., Erlangen, Germany
8Research & Clinical Translation, Magnetic Resonance, Siemens Healthineers AG, Erlangen, Germany
Presenting Author: Wenjie Xu

Synopsis

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References

1. Bae SH, Hwang J, Hong SS, Lee EJ, Jeong J, Benkert T, Sung J, Arberet S. Clinical feasibility of accelerated diffusion weighted imaging of the abdomen with deep learning reconstruction: Comparison with conventional diffusion weighted imaging. Eur J Radiol. 2022 Sep;154:110428. doi: 10.1016/j.ejrad.2022.110428. [doi]
2. Afat S, Herrmann J, Almansour H, Benkert T, Weiland E, Hölldobler T, Nikolaou K, Gassenmaier S. Acquisition time reduction of diffusion-weighted liver imaging using deep learning image reconstruction. Diagn Interv Imaging. 2023 Apr;104(4):178-184. doi: 10.1016/j.diii.2022.11.002. [doi]
3. Kim DH, Kim B, Lee HS, Benkert T, Kim H, Choi JI, Oh SN, Rha SE. Deep Learning-Accelerated Liver Diffusion-Weighted Imaging: Intraindividual Comparison and Additional Phantom Study of Free-Breathing and Respiratory-Triggering Acquisitions. Invest Radiol. 2023 Nov 1;58(11):782-790. doi: 10.1097/RLI.0000000000000988. [doi]
4. Chen PT, Yeh CY, Chang YC, Chen P, Lee CW, Shieh CC, Lin CY, Liu KL. Application of deep learning reconstruction in abdominal magnetic resonance cholangiopancreatography for image quality improvement and acquisition time reduction. J Formos Med Assoc. 2024 Oct 24:S0929-6646(24)00493-5. doi: 10.1016/j.jfma.2024.10.017. [doi]
5. Tavakkoli M, Noseworthy MD. A Review on Accelerated Magnetic Resonance Imaging Techniques: Parallel Imaging, Compressed Sensing, and Machine Learning. Crit Rev Biomed Eng. 2025;53(5):71-85. doi: 10.1615/CritRevBiomedEng.2024056909. [doi]
6. Zhang Y, Ye Z, Xia C, Tan Y, Zhang M, Lv X, Tang J, Li Z. Clinical Applications and Recent Updates of Simultaneous Multi-slice Technique in Accelerated MRI. Acad Radiol. 2024 May;31(5):1976-1988. doi: 10.1016/j.acra.2023.12.032. [doi]

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http://echo.ismrm.org/p/ISMRM2026/662-04-011