J Med Syst - Accurate automated detection of autism related corpus callosum abnormalities.

Tópicos

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Resumo

The importance of accurate early diagnostics of autism that severely affects personal behavior and communication skills cannot be overstated. Neuropathological studies have revealed an abnormal anatomy of the Corpus Callosum (CC) in autistic brains. We propose a new approach to quantitative analysis of three-dimensional (3D) magnetic resonance images (MRI) of the brain that ensures a more accurate quantification of anatomical differences between the CC of autistic and normal subjects. It consists of three main processing steps: (i) segmenting the CC from a given 3D MRI using the learned CC shape and visual appearance; (ii) extracting a centerline of the CC; and (iii) cylindrical mapping of the CC surface for its comparative analysis. Our experiments revealed significant differences (at the 95% confidence level) between 17 normal and 17 autistic subjects in four anatomical divisions, i.e. splenium, rostrum, genu and body of their CCs.

Resumo Limpo

import accur earli diagnost autism sever affect person behavior communic skill overst neuropatholog studi reveal abnorm anatomi corpus callosum cc autist brain propos new approach quantit analysi threedimension d magnet reson imag mri brain ensur accur quantif anatom differ cc autist normal subject consist three main process step segment cc given d mri use learn cc shape visual appear ii extract centerlin cc iii cylindr map cc surfac compar analysi experi reveal signific differ confid level normal autist subject four anatom divis ie splenium rostrum genu bodi ccs

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