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Segmentation and Classification

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  • First Online:
Encyclopedia of Clinical Neuropsychology

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Synonyms

Algorithms; Bayesian analysis; Biological neural networks; Brain; Brain atlases; Image segmentation; Magnetic resonance imaging; Medical image processing; MRI; Neural networks; Statistical parametric mapping; Tissue classification; Volume measurement

Definition

Segmentation and classification within the field of neuroimaging refers to the separation of different brain regions in a structural magnetic resonance imaging (MRI) T1 sequence into defined tissue classes or types (Ashburner and Friston 1997; Friston et al. 2002; Reddick et al. 1997). The most basic segmentations generally separate regions into gray matter (GM), white matter (WM), and cerebrospinal fluid (CSF). However, more specific regions of interest (ROI) can be defined and segmented as well. Some of the most common ROIs to be segmented in brain disease and injury research for clinical application include regions such as the thalamus, amygdala, lateral ventricles, hippocampus, caudate nucleus, and brainstem...

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References and Readings

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Authors and Affiliations

  1. Department of Psychology and Neuroscience Center, Brigham Young University, 1060 SWKT, Provo, UT, USA

    Shawn D. Gale

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  1. Shawn D. Gale
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Correspondence to Shawn D. Gale .

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Editors and Affiliations

  1. Richmond, Virgin Islands, USA

    Jeffrey Kreutzer

  2. Kessler Foundation , West Orange, New Jersey, USA

    John DeLuca

  3. Suite 200 , Wynnewood, Pennsylvania, USA

    Bruce Caplan

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Gale, S. (2017). Segmentation and Classification. In: Kreutzer, J., DeLuca, J., Caplan, B. (eds) Encyclopedia of Clinical Neuropsychology. Springer, Cham. https://doi.org/10.1007/978-3-319-56782-2_9062-2

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  • DOI: https://doi.org/10.1007/978-3-319-56782-2_9062-2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56782-2

  • Online ISBN: 978-3-319-56782-2

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