Accelerating brain T2-weighted imaging using artificial intelligence–assisted compressed sensing combined with deep learning-based reconstruction: a feasibility study at 5.0T MRI

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Publication Details

Journal
BMC Medical Imaging
Published
2025-07-01
DOI
https://doi.org/10.1186/s12880-025-01763-5
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Accelerating brain T2-weighted imaging using artificial intelligence–assisted compressed sensing combined with deep learning-based reconstruction: a feasibility study at 5.0T MRI

Zhichao Feng, Yun Wen, Shaoxin Xiang, Zhenqiang Ma et al.
BMC Medical Imaging
Advanced MRI Techniques and Applications
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Accelerating brain T2-weighted imaging using artificial intelligence–assisted compressed sensing combined with deep learning-based reconstruction: a feasibility study at 5.0T MRI

Zhichao Feng, Yun Wen, Shaoxin Xiang, Zhenqiang Ma, Xiang Li, Chun Guan
article en

Abstract

No abstract available for this paper.
BMC Medical ImagingVol. 25(1)
Chongqing University (CN), United Imaging Healthcare (China) (CN)
Chongqing University, Science-Health Joint Medical Scientific Research Project of Chongqing
Industry, innovation and infrastructure
Openalex Percentile: Top 77%
Advanced MRI Techniques and Applications
DOIOpen Access PDFOpenAlex
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