Call for Paper - September 2020 Edition
IJCA solicits original research papers for the September 2020 Edition. Last date of manuscript submission is August 20, 2020. Read More

Multimodal Image Registration for Medical Images

Print
PDF
IJCA Proceedings on International Conference on Computer Technology
© 2015 by IJCA Journal
ICCT 2015 - Number 6
Year of Publication: 2015
Authors:
Anuj D. Budhia
Soumyabrata Ghosh
Roshni Padte

Anuj D Budhia, Soumyabrata Ghosh and Roshni Padte. Article: Multimodal Image Registration for Medical Images. IJCA Proceedings on International Conference on Computer Technology ICCT 2015(6):19-23, September 2015. Full text available. BibTeX

@article{key:article,
	author = {Anuj D. Budhia and Soumyabrata Ghosh and Roshni Padte},
	title = {Article: Multimodal Image Registration for Medical Images},
	journal = {IJCA Proceedings on International Conference on Computer Technology},
	year = {2015},
	volume = {ICCT 2015},
	number = {6},
	pages = {19-23},
	month = {September},
	note = {Full text available}
}

Abstract

In this paper, a technique for registering medical images captured through different modalities with focus on portal image is been discussed. Earlier template matching was used to register satellite images, but it does not serve the purpose as images are from different modalities and same objects are represented with different intensity values. Mutual information based techniques outperform other multimodal techniques for this application because of inherently poor quality acquired image through MV image during patient treatment. This technique will suffer if image is very blurry. The technique is to maximize the mutual information between two images using gradient ascent method.

References

  • J. Hu, Y. Yang and Z. Su, "A Novel Hierarchical Medical Image Registration Method Based on Multi-scale and Contour line", Proceeding of Int. Conf. on Systems and Informatics, Yantai, pp 1834-1837, 2012.
  • L. Ding, A. Goshtasby, and M. Satter, "Volume image registration by template matching" Image and Vision Computing, Vol. 19, No. 12, pp. 821–832, 2001.
  • C. Studholme, D. L. G. Hill and D. J. Hawkes "An overlap invariant entropy measure of 3D medical image alignment," Pattern Recognition, Vol. 32, no. 1, pp. 71–86, Jan. 1999.
  • Chan, H. M. , Chung, A. C. S. , Yu, S. , Wells, "2D-3D vascular registration between digital subtraction angiographic (DSA) and magnetic resonance angiographic (MRA) images", Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on , Vol 1, pp. 708-711, 2004.
  • Rhode, K. S. , Hill, D. L. G. , Edwards, P. J. , Hipwell, J. , Rueckert, D. , Sanchez-Ortiz, G. ,Hegde, S. , Rahunathan, V. , Razavi, R, "Registration and tracking to integrate X-ray and MR images in an XMR Facility", Medical Imaging, IEEE Transactions on, Volume:22, Issue:11, pp. 1369-1378, 2003.
  • N. A. Al-Azzawi, H. A. M. Sakim, W. A. K. W. Abdullah, "MR Image Monomodal Registration Based on the Non-subsampled Contourlet Transform and Mutual Information," Proceedings of Int. conf. on Computer Apps and Ind. Elec. , Lumpur, pp. 481-485, Dec. 2010.
  • Sundar, H. , Khamene, A. , Xu, C. , Sauer, F. , Davatzikos, C, "A novel 2D-3D registration algorithm for aligning fluoro images with 3D pre-op CT/MR images", Visualization, Image-Guided Procedures, and Display, vol. 6141, SPIE, San Diego, CA, USA, 2006.
  • Hipwell, J. H. , Penney, G. P. , McLaughlin, R. A. , Rhode, K. , Summers, P. , Cox, T. C. , Byrne,J. V. , Noble, J. A. , Hawkes, D. J. , "Intensity-based 2-D-3-D registration of cerebral angiograms". IEEE Trans. Med. Imag. 2003, 1417-1426.
  • C. E. Shannon, "A Mathematical Theory of Communication," The Bell System Technical Journal, Vol. 27, pp. 379–423, Oct. 1948
  • Athanasios Papoulis, Probability, Random Variables and Stochastic Processes, Mcgraw Hill, 1984.
  • Ranjan Bose, Information Theory, Coding and Cryptography, Tata McGraw-Hill Education, 2008.
  • Escolano Ruiz, Francisco, Suau Pérez, Pablo, Bonev, Boyán Ivanov, Information Theory in Computer Vision and Pattern Recognition, Springer, New York.
  • J. P. W. Pluim, J. B. A. Maintz and M. A. Viergever "Image registration by maximization of combined mutual information and gradient information," IEEE Trans. on Medical Imaging, Vol. 19, No. 8, pp. 809-814, Aug. 2000.
  • Rafael C. Gonzalez, Digital Image Processing, Pearson publisher, 2010
  • F. Maes, A. Collignon, D. Vandermeulen, G. Marchal, and P. Suetens "Multimodality Image Registration by Maximization of Mutual Information," IEEE Trans. on Med. Imaging, Vol. 16, No. 2, pp. 187-198, April 1997.
  • Paul A. Viola, 1995, "Alignment by Maximization of Mutual Information", PhD thesis, Massachussets Institute of Technology Artificial Intelligence Lab.
  • Lisa G. Brown, "A Survey of Image Registration techniques", ACM computing surveys, Vol. 24, No. 4, dec 1992.
  • Anil K. Jain, Fundamentals of Digital Image Processing, Prentice Hall, 1989.
  • textofvideo. nptel. iitm. ac. in/117105079/lec25. pdf
  • Somaraju Boda,U. C. Pati, 2009, "Feature based Image Registration", Mtech thesis, NIT
  • http://en. wikipedia. org/wiki/Image_registration.
  • Dhananjay Theckedath, Digital Image Processing, nandu publisher, 2010.
  • Ikeda, K. ; Ino, F. ; Hagihara, K. , "Efficient Acceleration of Mutual Information Computation for Nonrigid Registration Using CUDA," Biomedical and Health Informatics, IEEE Journal of, vol. 18, no. 3, pp. 956-968, May 2014
  • A. Sahu, S. K. Panigrahi, S. Pattnaik "Fast Convergence Particle Swarm Optimization for Functions Optimization", Proceedings of 2nd Int. Conf. on Computer. Comm. , Control and Information Tech. , Hooghly, Vol. 4, pp. 319-324, Feb. 2012.