Template-based Affine Registration of Autistic Brain Images

Porawat Visutsak

2015

Abstract

This paper presents a new method for the study of autistic brain image called “Template-based affine registration”, based on the transformation of the grid-line from a source image to a target image. By using the locations of grid of both source and target images as the control structure, together with a smart transition of grid computed by bilinear and affine transformations. Besides, the new locations of grid of a target image corresponding to a source image are the best-move of all feature points translated from a source to a target. The template named after the point set extracted from source image, the simple idea is to use the affine transformation for mapping the target point set to the template. The transformation process is used effectively by using the incorporating transition of grid to maintain geometric alignment throughout the process; the proposed method achieves a smooth transformation for image registration.

References

  1. Cheng, Wei, et al. “Autism: Reduced Connectivity between Cortical Areas Involved with Face Expression, Theory of Mind, and the Sense of Self.” Brain, A Journal of Neurology, Oxford University Press, 2015.
  2. Christopher Fisher, “Autistic Brains Develop More Slowly Than Healthy Brains.” BMED Report, October 28, 2011.
  3. Crum, William R., et al. “Generalised overlap measures for assessment of pairwise and groupwise image registration and segmentation.” Medical Image Computing and Computer-Assisted InterventionMICCAI 2005. Springer Berlin Heidelberg, 2005. 99- 106.
  4. A. Fitzgibbon et al. (Eds.): ECCV 2012, Part II, LNCS 7573, pp. 30-44, 2012.
  5. Fahmi, Rachid, et al. “Structural MRI-Based Discrimination between Autistic and Typically Developing Brain.” Proc. of Computer Assisted Radiology and Surgery (CARS'07), Berlin, Germany (2007): 24-26.
  6. Frederik Maes, Dirk Vandermeulen, and Paul Suetens, “Medical Image Registration using Mutual Information,” In Proc. of the IEEE, Vol. 91, No. 10, Oct. 2003, pp. 1699-1722.
  7. Maurer, Calvin R., and J. Michael Fitzpatrick. “A review of medical image registration.” Interactive imageguided neurosurgery 17 (1993).
  8. Paul, Lynn K., et al. "Agenesis of the corpus callosum and autism: a comprehensive comparison." Brain 137.6 (2014): 1813-1829.
  9. J. P. W. Pluim, J. B. A. Maintz, and M. A. Viergever. Mutual information based registration of medical images: a survey. IEEE Trans. Medical Imaging, 22(8):986{1004, 2003.
  10. Porawat Visutsak, "Grid Transformation for Image Registration and Morphing", The 6th International Conference on Science, Technology and Innovation for Sustainable Well-Being (STISWB VI), 28-30 August 2014, Apsara Angkor Resort & Conference Siem Reap, Kingdom of Cambodia.
  11. Porawat Visutsak, “Multi-Grid Transformation for Medical Image Registration”, 2014 International Conference on Advanced Computer Science and Information Systems, pages 52-56, 18-19 Oct. 2014, Ambhara Hotel, Blok M, Jakarta, Indonesia.
  12. Virginia Hughes, “Researchers reveals first brain study of Temple Grandin.” The 2012 Society for Neuroscience annual meeting, Simons Foundation Autism Research Initiative (SFARI), October 14, 2012.
  13. M. A. Wirth, J. Narhan, and D. Gray. Nonrigid mammogram registration using mutual information. In SPIE: Medical Imaging: Image Processing, volume 4684, San Diego, CA, Feb. 2002.
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Paper Citation


in Harvard Style

Visutsak P. (2015). Template-based Affine Registration of Autistic Brain Images . In Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 2: FCTA, (ECTA 2015) ISBN 978-989-758-157-1, pages 188-192. DOI: 10.5220/0005637001880192


in Bibtex Style

@conference{fcta15,
author={Porawat Visutsak},
title={Template-based Affine Registration of Autistic Brain Images},
booktitle={Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 2: FCTA, (ECTA 2015)},
year={2015},
pages={188-192},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005637001880192},
isbn={978-989-758-157-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 7th International Joint Conference on Computational Intelligence - Volume 2: FCTA, (ECTA 2015)
TI - Template-based Affine Registration of Autistic Brain Images
SN - 978-989-758-157-1
AU - Visutsak P.
PY - 2015
SP - 188
EP - 192
DO - 10.5220/0005637001880192