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International Symposium on Neural Networks

ISNN 2006: Advances in Neural Networks - ISNN 2006 pp 606–613Cite as

Automatic Segmentation of Putamen from Brain MRI

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

Abstract

In this paper we present an automatic segmentation of the Putamen shape from brain MRI based on wavelets and a neural network. Firstly we detect the Putamen region slice by slice using 1D wavelet feature extraction. Then fuzzy c-means technology is combined with edge detection to segment the objects inside the Putamen region. Finally features are extracted from the segmented objects and fed into a neural network classifier in order to identify the Putamen shape. Experiment shows the segmentation results to be accurate and efficient.

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Author information

Authors and Affiliations

  1. School of Computer Science & IT, University of Nottingham, Jubilee Campus, Nottingham, NG8 1BB, UK

    Yihui Liu, Bai Li & Dave Elliman

  2. Academic Radiology, University of Nottingham, Queen’s Medical Centre, Nottingham, NG7 2UH, UK

    Paul Simon Morgan & Dorothee Auer

  3. School of Computer Science, Shandong University of Light Industry, Jinan, Shandong, 250100, China

    Yihui Liu

Authors
  1. Yihui Liu
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  2. Bai Li
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  3. Dave Elliman
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  4. Paul Simon Morgan
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  5. Dorothee Auer
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Liu, Y., Li, B., Elliman, D., Morgan, P.S., Auer, D. (2006). Automatic Segmentation of Putamen from Brain MRI. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_89

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  • DOI: https://doi.org/10.1007/11760191_89

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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