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

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

Abstract Background T2-weighted imaging (T2WI), renowned for its sensitivity to edema and lesions, faces clinical limitations due to prolonged scanning time, increasing patient discomfort, and motion artifacts. The individual applications of artificial intelligence-assisted compressed sensing (ACS)...

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Bibliographic Details
Main Authors: Yun Wen, Huan Ma, Shaoxin Xiang, Zhichao Feng, Chuanjiang Guan, Xiang Li
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Medical Imaging
Subjects:
Artificial intelligence–assisted compressed sensing
Deep learning
Magnetic resonance imaging
Compressed sensing
Brain
Online Access:https://doi.org/10.1186/s12880-025-01763-5
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https://doi.org/10.1186/s12880-025-01763-5

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