A novel approach for global registration of medical images based on learning the prior appearance model

2008 5th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Proceedings, ISBI

Volumn , Issue , 2008, Pages 784-787

  El Baz, Ayman ^a   Gimel'farb, Georgy ^b  

^a University of Louisville   (United States)

^b UNIVERSITY OF AUCKLAND   (New Zealand)

Author keywords

Computed Tomography (CT); Lung; Markov Gibbs Random Field (MGRF)

Indexed keywords

COMPUTED TOMOGRAPHY (CT); LUNG; MARKOV-GIBBS RANDOM FIELD (MGRF); REFERENCE OBJECT;

MEDICAL IMAGING;

EID: 51049120266     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2008.4541113     Document Type: Conference Paper

References (13)

1. J. Maintz and M. Viergever, "A survey of medical image registration," Medical Image Analysis, vol. 2, issue 1, pp. 1-36, 1998.
2. P. Hellier, "Inter-subject non-rigid registration: survey and methods, " In Handbook of medical image analysis: segmentation and registration methods, (J. Suri, D.Wilson, S. Laxminarayan, Eds.), Vol. 3, , Kluwer, 2004.
3. X. Huang, Y. Sun, D. Metaxas, F. Sauer, and C. Xu, "Hybrid Image Registration based on Configural Matching of Scale-Invariant Salient Region Features," IEEE Workshop on Image and Video Registration (IVR04) in conjunction with CVPR04, Washington D.C., July, 2004.
4. B. Zitova and J. Flusser, "Image registration methods: a survey," Image and Vision Computing, vol. 21, pp. 977-1000, 2003.
5. Pope and J. Theiler, "Automated Image Registration (AIR) of MTI Imagery," Proc. SPIE 5093, vol. 27, pp. 294-300, 2003.
6. J. Inglada and A. Giros, "On the Possibility of Automatic Multisensor Image Registration," IEEE Trans. Geoscience and Remote Sensing, vol. 42, no. 10, October 2004.
7. P. Viola, "Alignment by Maximization of Mutual Information," Ph.D. dissertation, MIT, Cambridge, MA, 1995.
8. P. Thevenaz and M. Unser, "Alignment An efficient mutual information optimizer for multiresolution image registration," Proc. IEEE Int. Conf. on Image Processing ICIP'98, Chicago, IL, 1998, pp. 833-837.
9. P. Thevenaz and M. Unser, "A pyramid approach to sub-pixel image fusion based on mutual information," Proc. IEEE Int. Conf. on Image Processing ICIP'96, Lausanne, Switzerland, 1996, pp. 265-268.
10. C. Studholme, D. L. G. Hill, and D. J. Hawkes, "An overlap invariant entropy measure of 3D medical image alignment," Pattern Recognition, vol. 32, pp. 71-86, 1999.
11. J. Pluim, J. Maintz, and M. Viergever, "Mutual-Information-Based Registration of Medical Images: A Survey," IEEE Trans. Medical Imaging, vol. 22, no. 8, August, 2003.
12. A. El-Baz, "Novel Stochastic Models for Medical Image Analysis," Ph.D. dissertation, University of Louisville, Louisville, KY, 2006.
13. D. G. Lowe, "Distinctive Image Features from Scale-Invariant Keypoints," Int. J. of Computer Vision, vol. 60, pp. 91-110, 2004.