4.3 Article

Segmentation and clustering in brain MRI imaging

Journal

REVIEWS IN THE NEUROSCIENCES
Volume 30, Issue 1, Pages 31-44

Publisher

WALTER DE GRUYTER GMBH
DOI: 10.1515/revneuro-2018-0050

Keywords

clustering; convolutional neural network; FCM; K-means; segmentation

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Clustering is a vital task in magnetic resonance imaging (MRI) brain imaging and plays an important role in the reliability of brain disease detection, diagnosis, and effectiveness of the treatment. Clustering is used in processing and analysis of brain images for different tasks, including segmentation of brain regions and tissues (grey matter, white matter, and cerebrospinal fluid) and clustering of the atrophy in different parts of the brain. This paper presents a state-of-the-art review of brain MRI studies that use clustering techniques for different tasks.

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