Cerebral Contour Extraction with Particle Method in Neonatal MR Images

Syoji Kobashi; Daisuke Yokomichi; Yuki Wakata; Kumiko Ando; Reiichi Ishikura; Kei Kuramoto; Shozo Hirota; Yutaka Hata

doi:10.20965/jaciii.2011.p0362

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JACIII Vol.15 No.3 pp. 362-369

doi: 10.20965/jaciii.2011.p0362

(2011)

Paper:

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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

Received:

October 31, 2010

Accepted:

December 21, 2010

Published:

May 20, 2011

Keywords:

neonate, brain, cerebral surface extraction, MR images, particle method

Abstract

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.

Cite this article as:

S. Kobashi, D. Yokomichi, Y. Wakata, K. Ando, R. Ishikura, K. Kuramoto, S. Hirota, and Y. Hata, “Cerebral Contour Extraction with Particle Method in Neonatal MR Images,” J. Adv. Comput. Intell. Intell. Inform., Vol.15 No.3, pp. 362-369, 2011.

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References

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[14] S. Kobashi et al., “Particle Method Based Sub-Voxel Cerebral Contour Extraction in Neonatal MR Images,” The 4th Int. Symposium on Computational Intelligence and Industrial Application, 2010.
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This article is published under a Creative Commons Attribution-NoDerivatives 4.0 Internationa License.

[1] [1] A. J. Barkovich, “Concepts of Myelin and Myelination in Neuroradiology,” American J. of Neuroradiology, Vol.21, No.6, pp. 1099-1109, 2000.

[2] [2] S. M. Smith, “Fast Robust Automated Brain Extraction,” Human Brain Mapping, Vol.17, No.3, pp. 143-155, 2002.

[3] [3] K. Im et al., “Brain Size and Cortical Structure in the Adult Human Brain,” Cerebral Cortex, Vol.18, No.9, pp. 2181-2191, 2008.

[4] [4] K. Boesen et al., “Quantitative Comparison of Three Brain Extraction Algorithms,” NeuroImage, 2003.

[5] [5] C. Fennema-Notestine et al., “Quantitative Evaluation of Automated Skull-Stripping Methods Applied to Contemporary and Legacy Images: Effects of Diagnosis, Bias Correction, and Slice Location,” Human Brain Mapping, Vol.27, No.2, pp. 99-113, 2006.

[6] [6] M. S. Atkins and B. T. Mackiewich, “Fully Automatic Segmentation of the Brain in MRI,” IEEE Trans. Medical Imaging, Vol.17, No.1, pp. 98-107, 1998.

[7] [7] Y. Hata et al., “Automated Segmentation of Human Brain MR Images Aided by Fuzzy Information Granulation and Fuzzy Inference,” IEEE Trans. Syst., Man, Cybern. C, Vol.30, No.3, pp. 381-395, 2000.

[8] [8] D.MacDonald et al., “Automated 3-D Extraction of Inner and Outer Surfaces of Cerebral Cortex fromMRI,” NeuroImage, Vol.12, No.3, pp. 340-356, 2000.

[9] [9] J. S. Kim et al., “Automated 3-D Extraction and Evaluation of the Inner and Outer Cortical Surfaces Using a Laplacian Map and Partial Volume Effect Classification,” NeuroImage, Vol.27, No.1, pp. 210-221, 2005.

[10] [10] T. Oshiba et al., “Subpixel Extraction of Neonatal Cerebral Surface from 3.0T MR Images Using a Thick Rubber Model,” Radiological Society of North America Scientific Assembly and Annual Meeting, 2008.

[11] [11] L. B. Lucy, “A Numerical Approach to the Testing of the Fission Hypothesis,” Astronomical J., Vol.82, pp. 1013-1024, 1977.

[12] [12] S. Koshizuka and Y. Oka, “Moving Particle Semi-Implicit Method for Fragmentation of Incompressible Fluid,” Nuclear Science and Engineering, Vol.121, No.12, pp. 29-42, 1999.

[13] [13] M. Xu et al., “Adaptive Reproducing Kernel Particle Method for Extraction of the Cortical Surface,” IEEE Trans. Medical Imaging, Vol.25, No.6, pp. 757-767, 2006.

[14] [14] S. Kobashi et al., “Particle Method Based Sub-Voxel Cerebral Contour Extraction in Neonatal MR Images,” The 4th Int. Symposium on Computational Intelligence and Industrial Application, 2010.

[15] [15] K. Yamaguchi et al., “Automated Fuzzy Logic Based Skull Stripping in Neonatal and Infantile MR Images,” IEEE World Congress on Computational Intelligence, pp. 800-806, 2010.

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*,**

Syoji Kobashi^*,**, Daisuke Yokomichi^, Yuki Wakata^,
Kumiko Ando^*, Reiichi Ishikura^***, Kei Kuramoto^,,
Shozo Hirota^, and Yutaka Hata^*,**