Nonrigid image registration using spatial and multiresolution techniques

2011 - International Conference on Signal Processing, Communication, Computing and Networking Technologies, ICSCCN-2011

Volumn , Issue , 2011, Pages 818-823

  Arivazhagan, S ^a   Mani, V R S ^b   Prema, G ^a  

^a MEPCO SCHLENK ENGINEERING COLLEGE   (India)

^b NATIONAL ENGINEERING COLLEGE   (India)

Author keywords

affine transform; Curvelet transform; gradient difference; log difference; nonrigid registration; pattern intensity

Indexed keywords

AFFINE TRANSFORM; CURVELET TRANSFORMS; GRADIENT DIFFERENCE; LOG-DIFFERENCE; NONRIGID REGISTRATION; PATTERN INTENSITY;

COMMUNICATION; SIGNAL PROCESSING;

IMAGE REGISTRATION;

EID: 80053630765     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICSCCN.2011.6024663     Document Type: Conference Paper

References (13)

1. G. Brown, "A survey of image registration techniques," ACM Comput. Surv. vol. 24, no. 4, pp. 325-376, Dec. 1992.
2. I. Flusser and B. Zitova, "Image registration methods: A survey," Image Vis. Comput., vol. 21, no. II, pp. 977-1000, Oct. 2003.
3. I. B. A. Maintz and M. A. Viergever, "A survey of medical image registration," Med. Image Anal., vol 2, no. 1, pp. 1-36, Mar. 1998.
4. Emmanuel Cand'es, Laurent Demanet, David Donoho and Lexing Ying, "Fast Discrete Curvelet Transforms," Technical Report, Cal Tech, 2005
5. C. Studholme, D. L. G. Hill, and D. I. Hawkes, "Multi resolution voxel similarity measures for MR-PET registration," in Information Processing Medical Imaging: Proc. 14th Int. Conf IPMl'95, pp. 287-298, 1995
6. C. Studholme, D. L. G. Hill, and D. I. Hawkes, "Multi resolution voxel similarity measures for MR-PET registration," in Information Processing Medical Imaging: Proc. 14th Int. Conf IPMl'95, pp. 287-298, 1995
7. A. Collignon, F. Maes, D. Delaere, D. Vandermeulen, P. Seutens, and G. Maral, "Automated multimodality image registration using information theory," in Information Processing Medical Imaging: Proc. 14th Int. Conf IPMJ'95, pp. 263-274, 1995.
8. C. Studholme, D. L. G. Hill, and D. J. Hawkes, "An overlap invariant entropy measure of 3D medical image alignment,"Pattern Recognit., vol. 32, no. 1, pp. 71-86, 1998.
9. C. R. Meyer, J. L. Boes, B. Kim, P. H. Bland, K. R Zasadny, P. V. Kison, K. Koral, K. A. Frey, and R. L. Wahl, "Demonstration of accuracy and clinical versatility of mutual information for automatic multi modality image fusion using affine and thin-plate spline warped geometric deformations," Medical Image Analysis, vol. 1, no. 3, pp. 195-207, 1997
10. David L. Donoho & Mark R. Duncan, Digital Curvelet Transform: Strategy, Implementation and Experiments, Stanford University, November, 1999.
11. Yax Yuan, "A modified BFGS algorithm for unconstraint optimization", IMA journal of numerical analysis, vol. 3, pp. 325-332, 1991
12. M. Do and M. Vetterli, "The contourlet transform: An efficient directional multiresolution image representation,"IEEE trans. Image Process, PP. 2091-2106, 2005.
13. S. Klein, M. Staring, K. Murphy, M. Viergever and J. Pluin, "elastix: A toolbox for intensity-based medical image registration," IEEE Trans. Med. Imag.,pp. 196-205, 2010. http://elastix.isi.uu.nl.