Deep learning-based image reconstruction benefits diffusion tensor imaging for assessing severity of depression

Deep learning-based image reconstruction benefits diffusion tensor imaging for assessing severity of depression

ObjectiveThis study aimed to evaluate whether deep learning-based image reconstruction (DLR) improves the accuracy of diffusion tensor imaging (DTI) measurements used to assess the severity of depression.MethodsA total of 52 patients diagnosed with depression in our hospital between March 2023 and J...

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Main Authors: Yuanyuan Cui, Yihao Wang, Weimin Yuan, Youhan Zhang, Yunmeng Wang, Jiankun Dai, Yuxin Cheng, Xin Zhang, Hongbiao Sun, Shuwen Dong, Jinlin Wang, Yonghai Bai, Shiyuan Liu, Yi Xiao
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-08-01
Series:Frontiers in Neuroscience
Subjects:
deep learning
diffusion tensor imaging
depression
white matter tract
fractional anisotropy
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2025.1607130/full
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https://www.frontiersin.org/articles/10.3389/fnins.2025.1607130/full

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