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Título: | Unsupervised segmentation of brain regions with similar microstructural properties: application to alcoholism |
Autor: | Cosa-Linan, Alejandro CSIC; Canals, Santiago CSIC ORCID; Valles-Lluch, Ana; Moratal, David | Fecha de publicación: | 2013 | Editor: | Institute of Electrical and Electronics Engineers | Citación: | 35th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (2013) | Resumen: | In this work, a novel brain MRI segmentation approach evaluates microstructural differences between groups. Going further from the traditional segmentation of brain tissues (white matter -WM-, gray matter -GM- and cerebrospinal fluid -CSF- or a mixture of them), a new way to classify brain areas is proposed using their microstructural MR properties. Eight rats were studied using the proposed methodology identifying regions which present microstructural differences as a consequence on one month of hard alcohol consumption. Differences in relaxation times of the tissues have been found in different brain regions (p<0.05). Furthermore, these changes allowed the automatic classification of the animals based on their drinking history (hit rate of 93.75 % of the cases). | URI: | http://hdl.handle.net/10261/338774 | DOI: | 10.1109/EMBC.2013.6609685 | ISBN: | 978-1-4577-0216-7 |
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