Skip to main content
SpringerLink
Log in

Medical Image Alignment by Normal Vector Information

  • Conference paper
Computational Intelligence and Security (CIS 2005)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 3801))

Included in the following conference series:

Abstract

In this paper, a new approach on image registration is presented. We introduce a novel conception- normal vector information (NVI) – to evaluate the similarity between two images. NVI method takes advantage of the relationship between voxels in the image to extract the normal vector (NV) information of each voxel. Firstly, NVI criterion is presented. Then, based on the criterion, we find that NVI related metric has a quite perfect global optimal value on transformation parameter ranges. Finally, registration examples which are based on NVI criterion are provided. The result implies that the feature of smooth value distribution and one global optimal value that NVI metric has makes the optimization procedure much easier to be implemented in image registration.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Gu, L.: Dynamic Heart Modeling Based on a Hybrid 3D segmentation Approach. In: Yang, G.-Z., Jiang, T.-Z. (eds.) MIAR 2004. LNCS, vol. 3150, pp. 237–244. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  2. Xu, J., Gu, L.: Evaluation of Morphological Reconstruction, Fast Marching and a New Hybrid Segmentation. In: Zhang, J., He, J.-H., Fu, Y. (eds.) CIS 2004. LNCS, vol. 3314, pp. 678–684. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  3. Brown, L.G.: A Survey of Image Registration Techniques. ACM Comput. Surv. 24, 325–376 (1992)

    Article  Google Scholar 

  4. Viola, P., Wells III, W.: Alignment by Maximization of Mutual Information. International Journal of Computer Vision 24(2), 137–154 (1997)

    Article  Google Scholar 

  5. Mattes, D., Haynor, D.R., Vesselle, H., Lewellen, T., Eubank, W.: Nonrigid multimodality image registration. In: Sonka, M., Hanson, K.M. (eds.) Medical Imaging 2001: Image Processing, vol. 4322, pp. 1609–1620. SPIE Press, Bellingham (2001)

    Google Scholar 

  6. Mattes, D., Haynor, D.R., Vesselle, H., Lewellen, T., Eubank, W.: PET-CT Image Registration in the Chest Using Free-form Deformations. IEEE Transactions in Medical Imaging 22(1), 120–128 (2003)

    Article  Google Scholar 

  7. Thevenaz, P., Unser, M.: Optimization of Mutual Information for MultiResolution Image Registration. IEEE Transactions in Image Processing 9(12), 2083–2099 (2000)

    Article  MATH  Google Scholar 

  8. Ng, L.: Overview: ITK Registration Methods. In: SPIE 2004: Medical Image Segmentation and Registration With ITK (2004)

    Google Scholar 

  9. Hoehne, K.H., Bernstein, R.: Shading 3D-Images from CT Using Gray-Level Gradients. IEEE Trans. Medical Imaging MI-5(1), 45–47 (1986)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Computer Science, Shanghai Jiaotong University, 800 Dongchuan Road, Shanghai, 200240, China

    Xiahai Zhuang, Lixu Gu & Jianfeng Xu

Authors
  1. Xiahai Zhuang
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Lixu Gu
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Jianfeng Xu
    View author publications

    You can also search for this author in PubMed Google Scholar

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

    Yuping 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

Rights and permissions

Reprints and permissions

Copyright information

© 2005 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Zhuang, X., Gu, L., Xu, J. (2005). Medical Image Alignment by Normal Vector Information. In: Hao, Y., et al. Computational Intelligence and Security. CIS 2005. Lecture Notes in Computer Science(), vol 3801. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11596448_132

Download citation

  • DOI: https://doi.org/10.1007/11596448_132

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-30818-8

  • Online ISBN: 978-3-540-31599-5

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics

Search

Navigation