Automation and standardization of subject-specific region-of-interest segmentation for investigation of diffusion imaging in clinical populations

• Published in: PloS one Vol. 17; no. 12; p. e0268233
• Main Authors: Azor, Adriana M., Sharp, David J., Jolly, Amy E., Bourke, Niall J., Hellyer, Peter J.
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 08.12.2022; Public Library of Science (PLoS)
• Subjects: Abnormalities; Accuracy; Automation; Biology and Life Sciences; Diffusion; Diffusion Magnetic Resonance Imaging; Engineering and Technology; Evaluation; Forecasts and trends; Head injuries; Humans; Image processing; Image segmentation; Magnetic resonance; Magnetic resonance imaging; Mechanization; Medical imaging; Medicine and Health Sciences; Neuroimaging; Registration; Reproducibility; Reproducibility of Results; Research and Analysis Methods; Scanners; Standardization; Statistical analysis; Substantia alba; Traumatic brain injury; United Kingdom
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0268233

Diffusion weighted imaging (DWI) is key in clinical neuroimaging studies. In recent years, DWI has undergone rapid evolution and increasing applications. Diffusion magnetic resonance imaging (dMRI) is widely used to analyse group-level differences in white matter (WM), but suffers from limitations t...