Metabolic Visualization and Intelligent Shape Analysis of the Hippocampus (original) (raw)

Abstract

This paper suggests a prototype system for visualization and analysis of anatomic shape and functional features of the hippocampus. Based on the result of MR-SPECT multi-modality image registration, anatomical and functional features of hippocampus are extracted from MR and registered SPECT images, respectively. The hippocampus is visualized in 3D by applying volume rendering to hippocampus volume data extracted from the MR image with color coded by registered SPECT image. In order to offer the objective and quantitative data concerning to the anatomic shape and functional features of the hippocampus, the geometric volume and the SPECT intensity histogram of hippocampus regions are automatically measured based on the MR and the registered SPECT image, respectively. We also propose a new method for the analysis of hippocampal shape using an integrated Octree-based representation, consisting of meshes, voxels, and skeletons.

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Author information

Authors and Affiliations

  1. Institute for Graphic Interfaces, Ewha-SK telecom building, 11-1 Daehyun-Dong, Seodaemun-Ku, Seoul, Korea
    Yoo-Joo Choi
  2. Department of Computer Science and Engineering, Ewha Womans University, Daehyun-Dong, Seodaemun-Ku, Seoul, Korea
    Min-Jeong Kim & Myoung-Hee Kim
  3. Center for Computer Graphics and Virtual Reality, Ewha Womans University, Daehyun-Dong, Seodaemun-Ku, Seoul, Korea
    Myoung-Hee Kim
  4. School of Computer Engineering, Sejong University, Seoul, Korea
    Jeong-Sik Kim & Soo-Mi Choi
  5. Department of Computer Application Technology, Seoul University of Venture and Information, Seoul, Korea
    Yoo-Joo Choi

Authors

  1. Yoo-Joo Choi
  2. Jeong-Sik Kim
  3. Min-Jeong Kim
  4. Soo-Mi Choi
  5. Myoung-Hee Kim

Editor information

Editors and Affiliations

  1. Microelectronic Instiute, Xidian University, 710071, Xi’an, China
    Yue Hao
  2. Department of Computer Science, Hong Kong Baptist University, Kowloon Tong, Hong Kong
    Jiming Liu
  3. School of Computer Science and Technology, Xidian University, Xi’an, China
    Yu-Ping Wang
  4. Department of Computer Science, Hong Kong Baptist University, Hong Kong,
    Yiu-ming Cheung
  5. School of Electrical and Electronic Engineering, University of Manchester, UK
    Hujun Yin
  6. Life Science Research Center, School of Electronic Engineering, Xidian University, 710071, Xi’an, Shaanxi, China
    Licheng Jiao
  7. Key Laboratory of Computer Networks and Information Security(Ministry of Education), Xidian University, 710071, Xi’an, China
    Jianfeng Ma
  8. National Laboratory of Antennas and Microwave Technology, Xidian University, 710071, Xi’an, Shanxi, P.R. China
    Yong-Chang Jiao

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© 2005 Springer-Verlag Berlin Heidelberg

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Choi, YJ., Kim, JS., Kim, MJ., Choi, SM., Kim, MH. (2005). Metabolic Visualization and Intelligent Shape Analysis of the Hippocampus. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3802. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596981\_171

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