High‐field mr diffusion‐weighted image denoising using a joint denoising convolutional neural network-Reference-Cited by-同舟云学术

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High‐field mr diffusion‐weighted image denoising using a joint denoising convolutional neural network

Published:2019-04-22 Issue:6 Volume:50 Page:1937-1947
ISSN:1053-1807
Container-title:Journal of Magnetic Resonance Imaging
language:en
Short-container-title:J Magn Reson Imaging

Author:

Wang He¹²³,Zheng Rencheng¹³,Dai Fei¹³,Wang Qianfeng¹³,Wang Chengyan²^ORCID

Affiliation:

1. Institute of Science and Technology for Brain‐Inspired Intelligence, Fudan University Shanghai China

2. Human Phenome Institute, Fudan University Shanghai China

3. Key Laboratory of Computational Neuroscience and Brain‐Inspired Intelligence (Fudan University), Ministry of Education China

Funder

Natural Science Foundation of Shanghai

Publisher

Wiley

Subject

Radiology Nuclear Medicine and imaging

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jmri.26761

Reference36 articles.

1. Diffusion weighted imaging: Technique and applications

2. Noise correction for the exact determination of apparent diffusion coefficients at low SNR

3. Toward a quantitative assessment of diffusion anisotropy

4. A theoretical study of the effect of experimental noise on the measurement of anisotropy in diffusion imaging

5. Denoising of complex MRI data by wavelet-domain filtering: Application to high-b-value diffusion-weighted imaging

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