Cerebral Contour Extraction with Particle Method in Neonatal MR Images

Cerebral surface extraction from neonatal MR images is the basic work of quantifying the deformation of the cerebrum. Although there are many conventional methods of segmenting the cerebral region, only the rough area is given by counting the number of surface voxels in the segmented region. This ar...

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Bibliographic Details
Published in:Journal of advanced computational intelligence and intelligent informatics 2011-05, Vol.15 (3), p.362-369
Main Authors: Kobashi, Syoji, Yokomichi, Daisuke, Wakata, Yuki, Ando, Kumiko, Ishikura, Reiichi, Kuramoto, Kei, Hirota, Shozo, Hata, Yutaka
Format: Article
Language:English
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Summary:Cerebral surface extraction from neonatal MR images is the basic work of quantifying the deformation of the cerebrum. Although there are many conventional methods of segmenting the cerebral region, only the rough area is given by counting the number of surface voxels in the segmented region. This article proposes a new method of extraction that is based on the particle method. The method introduces three kinds of particles that correspond to cerebrospinal fluid, gray matter, and white matter; it converts the brain MR images into the set of particles. The proposed method was applied to neonatal magnetic resonance images, and the experimental results showed that the cerebral contour was extracted with a root-mean-square-error of 0.51 mm compared with the ground truth contour given by a physician.
ISSN:1343-0130
1883-8014
DOI:10.20965/jaciii.2011.p0362