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Metabolic Visualization and Intelligent Shape Analysis of the Hippocampus

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Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3802))

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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
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  2. Jeong-Sik Kim
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  3. Min-Jeong Kim
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  4. Soo-Mi Choi
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  5. Myoung-Hee Kim
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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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  • DOI: https://doi.org/10.1007/11596981_171

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30819-5

  • Online ISBN: 978-3-540-31598-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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