Automated three-dimensional major white matter bundle segmentation using diffusion magnetic resonance imaging

White matter bundle segmentation using diffusion magnetic resonance imaging fiber tractography enables detailed evaluation of individual white matter tracts three-dimensionally, and plays a crucial role in studying human brain anatomy, function, development, and diseases. Manual extraction of stream...

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Bibliographic Details
Published in:Anatomical science international 2023-07, Vol.98 (3), p.318-336
Main Authors: Andica, Christina, Kamagata, Koji, Aoki, Shigeki
Format: Article
Language:English
Subjects:
Anatomy
Animal Anatomy
Animal Physiology
Brain - diagnostic imaging
Cell Biology
Diffusion Magnetic Resonance Imaging
Diffusion Tensor Imaging - methods
Histology
Human Physiology
Humans
Image processing
Image Processing, Computer-Assisted - methods
Magnetic resonance imaging
Medicine
Medicine & Public Health
Morphology
Neuroimaging
Neurosciences
Reproducibility of Results
Review
Review Article
Segmentation
Substantia alba
White Matter - anatomy & histology
White Matter - diagnostic imaging
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Summary:White matter bundle segmentation using diffusion magnetic resonance imaging fiber tractography enables detailed evaluation of individual white matter tracts three-dimensionally, and plays a crucial role in studying human brain anatomy, function, development, and diseases. Manual extraction of streamlines utilizing a combination of the inclusion and exclusion of regions of interest can be considered the current gold standard for extracting white matter bundles from whole-brain tractograms. However, this is a time-consuming and operator-dependent process with limited reproducibility. Several automated approaches using different strategies to reconstruct the white matter tracts have been proposed to address the issues of time, labor, and reproducibility. In this review, we discuss few of the most well-validated approaches that automate white matter bundle segmentation with an end-to-end pipeline, including TRActs Constrained by UnderLying Anatomy (TRACULA), Automated Fiber Quantification, and TractSeg.
ISSN:1447-6959
1447-073X
DOI:10.1007/s12565-023-00715-9