Skip to main content
SpringerLink
Log in

Dental Image Registration Using Particle Swarm Optimized for Thin Plate Splines from Semi-automatic Correspondences

  • Chapter
  • First Online:
Applications of Intelligent Optimization in Biology and Medicine

Part of the book series: Intelligent Systems Reference Library ((ISRL,volume 96))

  • 1072 Accesses

Abstract

In the last few decades, image registration has been established as a very active research area in computer vision. Over the years, image registration applications cover a broad range of real-world problems including remote sensing, medical imaging, artificial vision, and computer-aided design. This chapter deals with the image registration problem, in particular dental image registration using computational intelligence techniques. In the practical applications, there are many medical images needing to be registered at some time and the requirement for the time of the registration is high. Image registration is the process of transforming different sets of data into one coordinate system. Data may be multiple photographs, data from different sensors, from different times, or from different viewpoints. Registration is necessary in order to be able to compare or integrate the data obtained from these different measurements.

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 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 54.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Gottesfeld, L.: Survey of image registration techniques. ACM Comput. Surv 24(4), 325–376 (1992)

    Article  Google Scholar 

  2. Damas, S., Cordon, O., Santamaria, J.: Medical image registration using evolutionary computation: an experimental survey. IEEE Comput. Intell. Mag. 6, 26–42 (2011)

    Article  Google Scholar 

  3. Crum, W.R., Hartkens, T., Hill, D.L.: Non-rigid image registration: theory and practice. Br. J. Radiol. 77, 140–153 (2004)

    Article  Google Scholar 

  4. Karsli, F., Dihkan, M.: Determination of geometric deformations in image registration using geometric and radiometric measurements. Sci. Res. Essays 5(3), 260–274 (2010)

    Google Scholar 

  5. Goshtasby, A.: Registration of images with geometric distortions. IEEE Trans. Geosci. Remote Sensing 26, 60–64 (1998)

    Article  Google Scholar 

  6. Fitzpatrick, J.M., Hill, L.G., Maurer, R.: Medical image processing and analysis. Med. Imaging 2, 449–506 (2004)

    Google Scholar 

  7. Svedlow, M., Gillem, C.D., Anuta, P.E.: Experimental examination of similarity measures and preprocessing methods used for image registration. Mach. Process. Remotely Sensed Data 4, 9–17 (1976)

    Google Scholar 

  8. Pluim, W., Maintz, A., Viergever, A.: Mutual information-based registration of medical images: a survey. IEEE Trans. Med. Imaging 22(8), 986–1004 (2003)

    Article  Google Scholar 

  9. Muratore, D.M., Russ, J., Dawant, B., Galloway, R.L.: Three-dimensional image registration of phantom vertebrae for image-guided surgery: a preliminary study. Comput. Aided Surg 7, 342–352 (2002)

    Article  Google Scholar 

  10. Audette, M.A., Ferrie, F., Peters, T.: An algorithmic overview of surface registration techniques for medical imaging. Med. Image Anal 4(3), 201–217 (2000)

    Article  Google Scholar 

  11. Santamaria, J., Cordon, O., Damas, S., Marti, R., Palma, J.: GRASP and path relinking hybridizations for the point matching-based image registration problem. J. Heuristics 18, 169–192 (2012)

    Article  Google Scholar 

  12. Bholsithi, W., Sinthanayothin, C., Chintakanon, K., Komolpis, R., Tharanon, W.: Comparison between 3D and 2D cephalometric analyses. In: Proceedings of 4th Kuala Lumpur International Conference on Biomedical Engineering, BIOMED 2008, pp. 540–543. Kuala Lumpur, Malaysia (2008)

    Google Scholar 

  13. McIntyre, G.T., Mossey, P.A.: Size and shape measurement in contemporary cephalometrics. Eur. J. Orthod. 25, 231–242 (2003)

    Article  Google Scholar 

  14. Goshtasby, A.: Registration of image with geometric distortion. IEEE Trans. Geosci. Remote Sens. 26(1), 60–64 (1988)

    Article  Google Scholar 

  15. Bookstein, F.L.: Principal warps: thin-plate splines and the decomposition of deformations. IEEE Trans. Pattern Anal. Mach. Intell. 11(6), 567–585 (1989)

    Article  MATH  Google Scholar 

  16. Mitra, J., Oliver, A., Marti, R., Llado, X., Vilanova, J., Meriaudeau, F.: A thin-plate spline based multimodal prostate registration with optimal correspondences. In: Proceedings of International Conference on Digital Image Computing, Techniques and Applications, DICTA 2010, pp. 330–380. Sydney, Australia (2010)

    Google Scholar 

  17. Xiao, K., Ho, S.H., Hassanien, A.E.: Brain magnetic resonance image lateral ventricles deformation analysis and tumor prediction. Malays. J. Comput. Sci. 20(2), 483–489 (2007)

    Google Scholar 

  18. Viola, P., William, M.: Alignment by maximization of mutual information. Int. J. Comput. Vision 24(2), 137–154 (1997)

    Article  Google Scholar 

  19. Meyer, R., Jennifer, L., Boklye, K., Bland, H., Zasadny, R., Kison, V., Koral, K., Frey, A., Wahl, L.: Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations. Med. Image Anal. 1(3), 195–206 (1997)

    Article  Google Scholar 

  20. Josien, P.W., Pluim, J.B., Antoine, M., Viergever, M.A.: Mutual information matching and interpolation artefacts. SPIE Med. Imag.: Image Processing 3661, 1–10 (1999)

    Google Scholar 

  21. Wirth, M., Narhan, J., Gray, D.: Nonrigid mammogram registration using mutual information. SPIE Med. Imag: Image Process. 4684, 562–573 (2002)

    Google Scholar 

  22. Kennedy, J. Eberhart, R.: Particle swarm optimization. In: Proceedings of the IEEE International Conference on Neural Network, IEEE Service Center Piscataway NJ, pp. 1942–1948. Perth, Australia (1995)

    Google Scholar 

  23. Shi, Y.: Particle swarm optimization. Proc. IEEE Int. Conf. Neural Netw. Soc. 4(13), 1942–1948 (2004)

    Google Scholar 

  24. Zhan, Z., Zhang, J., Yun, L., Shi, Y.: Orthogonal learning particle swarm optimization. IEEE Trans. Evol. Comput. 15(6), 832–847 (2011)

    Article  Google Scholar 

  25. Shi, Y., Eberhart, R.: A modified particle swarm optimizer. In: Proceedings of IEEE World Congress on Computational Intelligence, pp. 69–73 (1998)

    Google Scholar 

  26. Ngan, D., Kharbanda, O., Geenty, J.: Comparison of radiation levels from computed tomography and conventional dental radiographs. Aust. Orthod. 19, 67–75 (2003)

    Google Scholar 

  27. Shankarapillai, R., Nair, M.: CAT imaging in periodontics and implant dentistry. Int. J. Dental Clinics 1, 8–12 (2009)

    Google Scholar 

  28. Banik, Sh, Rangayyan, R., Boag, G.: Landmarking and Segmentation of 3D CT images. Synth. Lect. Biomed. Eng. 4(1), 1–170 (2009)

    Article  Google Scholar 

  29. Bholsithi, W., Sinthanayothin, C., Chintakanon, K., Komolpis, R., Tharanon, W.: Comparison between 3D and 2D cephalometric analyses. In: Proceedings of 4th Kuala Lumpur International Conference on Biomedical Engineering, BIOMED 2008, pp. 540–543. Kuala Lumpur, Malaysia (2008)

    Google Scholar 

  30. Innes, A., Ciesielski, V., Mamutil, J., John, S.: Finding templates for cephalometric landmark detection using pulse coupled neural networks and genetic programming. In: Proceedings of International Conference on Imaging Science, Systems and Technology, CISST03, vol 2, pp. 511–517. Las Vegas, Nevada, USA (2003)

    Google Scholar 

  31. Nassef, T., Solouma, N., Alkhodary, M., Marei, M., Kadah, Y.: Extraction of human mandible bones from multi-slice computed tomographic data. In: Proceedings of Conference on Biomedical Engineering (MECBME), pp. 260–263. 1st Middle East, Sharjah, United Arab Emirates (UAE) (2011)

    Google Scholar 

  32. Nassef, T., Solouma, N., Fliefel, R., Marei, M., Kadah, Y.: Computer assisted determination of mandibular cystic lesionvolume from computed tomographic data. In: Proceedings of Conference on Biomedical Engineering (MECBME), pp. 92–95. 1st Middle East, Sharjah, United Arab Emirates (UAE) (2011)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Scientific Research Group in Egypt (SRGE), Department of Mathematics and Computer Science, Al-Azhar University, Cairo, Egypt

    Sara A. Ahmed

Authors
  1. Sara A. Ahmed
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sara A. Ahmed .

Editor information

Editors and Affiliations

  1. Information Technology Department, Cairo University, Giza, Egypt

    Aboul-Ella Hassanien

  2. Department of Information Systems and Computing, Brunel University, London, United Kingdom

    Crina Grosan

  3. Faculty of Computers and information, Ain Shams University, Cairo, Egypt

    Mohamed Fahmy Tolba

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Ahmed, S.A. (2016). Dental Image Registration Using Particle Swarm Optimized for Thin Plate Splines from Semi-automatic Correspondences. In: Hassanien, AE., Grosan, C., Fahmy Tolba, M. (eds) Applications of Intelligent Optimization in Biology and Medicine. Intelligent Systems Reference Library, vol 96. Springer, Cham. https://doi.org/10.1007/978-3-319-21212-8_4

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-21212-8_4

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21211-1

  • Online ISBN: 978-3-319-21212-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics

Search

Navigation