QC-Automator: Deep Learning-Based Automated Quality Control for Diffusion MR Images

QC-Automator: Deep Learning-Based Automated Quality Control for Diffusion MR Images

Quality assessment of diffusion MRI (dMRI) data is essential prior to any analysis, so that appropriate pre-processing can be used to improve data quality and ensure that the presence of MRI artifacts do not affect the results of subsequent image analysis. Manual quality assessment of the data is su...

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Bibliographic Details
Main Authors: Zahra Riahi Samani, Jacob Antony Alappatt, Drew Parker, Abdol Aziz Ould Ismail, Ragini Verma
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-01-01
Series:Frontiers in Neuroscience
Subjects:
MRI
artifacts
diffusion MRI
quality control
convolutional neural networks
Online Access:https://www.frontiersin.org/article/10.3389/fnins.2019.01456/full

Internet

https://www.frontiersin.org/article/10.3389/fnins.2019.01456/full

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