SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI

SDnDTI: Self-supervised deep learning-based denoising for diffusion tensor MRI

Diffusion tensor magnetic resonance imaging (DTI) is a widely adopted neuroimaging method for the in vivo mapping of brain tissue microstructure and white matter tracts. Nonetheless, the noise in the diffusion-weighted images (DWIs) decreases the accuracy and precision of DTI derived microstructural...

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Bibliographic Details
Main Authors: Qiyuan Tian, Ziyu Li, Qiuyun Fan, Jonathan R. Polimeni, Berkin Bilgic, David H. Salat, Susie Y. Huang
Format: Article
Language:English
Published: Elsevier 2022-06-01
Series:NeuroImage
Subjects:
Convolutional neural network
Supervised learning
Residual learning
Image synthesis
Diffusion tensor transformation
Normal aging
Online Access:http://www.sciencedirect.com/science/article/pii/S1053811922001628

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http://www.sciencedirect.com/science/article/pii/S1053811922001628

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