Cerebral Contour Extraction with Particle Method in Neonatal MR Images
Syoji Kobashi*,**, Daisuke Yokomichi*, Yuki Wakata***,
Kumiko Ando***, Reiichi Ishikura***, Kei Kuramoto*,**,
Shozo Hirota***, and Yutaka Hata*,**
*Graduate School of Engineering, University of Hyogo, 2167 Shosha, Himeji, Hyogo 671-2280, Japan
**WPI Immunology Research Center, Osaka University, 3-1 Yamadaoka, Suita, Osaka 565-0871, Japan
***Hyogo College of Medicine, 75 Yamauchi-cho, Sasayama, Hyogo 669-2337, Japan
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.
Kumiko Ando, Reiichi Ishikura, Kei Kuramoto,
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