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...
Keywords
- For Functional MRI Of The Brain (FMRIB)
- Common ROIs
- Advanced Normalization Tools (ANTs)
- Diffusion Tensor Imaging (DTI)
- Statistical Parametric Mapping
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References and Readings
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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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