Cerebral Contour Extraction with Particle Method in Neonatal MR Images

Autor:	Daisuke Yokomichi, Shozo Hirota, Reiichi Ishikura, Yutaka Hata, Syoji Kobashi, Kei Kuramoto, Yuki Wakata, Kumiko Ando
Rok vydání:	2011
Předmět:	Human-Computer Interaction Artificial Intelligence Computer science business.industry Extraction (chemistry) Particle method Computer vision Computer Vision and Pattern Recognition Artificial intelligence Mr images business
Zdroj:	Scopus-Elsevier
ISSN:	1883-8014 1343-0130
DOI:	10.20965/jaciii.2011.p0362
Popis:	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.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::dd6d83460e17d3901f673a27e3fa1a6d https://doi.org/10.20965/jaciii.2011.p0362 Zobrazit plný text záznamu