Dual‐way magnetic resonance image translation with transformer‐based adversarial network

The proposed DMTrans achieves the state-of-the-art performance for cross-sequence MR image conversion, which could provide more information assisting clinical diagnosis and treatment. It also offered a versatile and efficient solution to the needs of high-quality MR image synthesis in data-scarce conditions at different centers.

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Publication Details

Journal
Medical Physics
Published
2025-04-24
DOI
https://doi.org/10.1002/mp.17837
Primary Topic
Advanced Image Processing Techniques
Type
article
Field-Weighted Citation Impact
0.00

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Dual‐way magnetic resonance image translation with transformer‐based adversarial network

Shengdong Nie, Wenxin Li, Weilin Gao, Yafen Li et al.
Medical Physics
Advanced Image Processing Techniques
article

Dual‐way magnetic resonance image translation with transformer‐based adversarial network

Shengdong Nie, Wenxin Li, Weilin Gao, Yafen Li, Jun Xia, Zhihao Hu
article en

Abstract

The proposed DMTrans achieves the state-of-the-art performance for cross-sequence MR image conversion, which could provide more information assisting clinical diagnosis and treatment. It also offered a versatile and efficient solution to the needs of high-quality MR image synthesis in data-scarce conditions at different centers.

Medical PhysicsVol. 52(7)
University of Shanghai for Science and Technology (CN), Shenzhen Second People's Hospital (CN)
National Natural Science Foundation of China
Reduced inequalities
Openalex Percentile: Top 93%
Advanced Image Processing Techniques
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