Non-rigid biomedical image registration using graph cuts with a novel data term

Proceedings - International Symposium on Biomedical Imaging

Volumn , Issue , 2012, Pages 446-449

  Chowdhury, Ananda S ^a   Roy, Rounak ^a   Bose, Sumon Kr ^a   Khalifa, Fahmi ^b   Elnakib, Ahmed ^b   El Baz, Ayman ^b  

^a JADAVPUR UNIVERSITY   (India)

^b University of Louisville   (United States)

Author keywords

brain MRI; data term; graph cuts; Non rigid registration; retinal images

Indexed keywords

BRAIN MRI; DATA TERMS; GRAPH CUT; NONRIGID REGISTRATION; RETINAL IMAGE;

ALGORITHMS; NEUROIMAGING;

GRAPHIC METHODS;

EID: 84864851799     PISSN: 19457928     EISSN: 19458452     Source Type: Conference Proceeding    
DOI: 10.1109/ISBI.2012.6235580     Document Type: Conference Paper

References (15)

1. D. Rueckert, "Non-rigid registration: Techniques and applications," in Medical Image Registration, CRC Press, 2001.
2. W R Crum, T Hartkens, and D L G Hill, "Non-rigid image registration: theory and practice," British J. Radiol., vol. 77, S140-S153, 2004.
3. B. Glocker, N. Komodakis, G. Tziritas, N. Navab, N. Paragios, "Dense image registration through MRFs and efficient linear programming," Med. Image Anal., vol. 12(6), pp. 731-41, 2008.
4. T. W. H. Tang and A. C. S. Chung, "Non-rigid image registration using graph-cuts," MICCAI LNCS, vol. 4791, pp. 916- 924, 2007.
5. R.W.K. So and A.C.S. Chung, "Non-rigid Image Registration By Using Graph Cuts With Mutual Information," IEEE ICIP, pp. 4429-4432, 2010.
6. D. Schwarz, T. Kasparek, I. Provaznik, and J. Jarkovsky, "A Deformable Registration Method for Automated Morphometry of MRI Brain Images in Neuropsychiatric Research," IEEE Trans. Med. Imag. vol. 26 (4), pp. 452-461, 2001.
7. B. Aubert-Broche, A. Evans et al, "A new improved version of the realistic digital brain phantom," NeuroImage, vol. 32 (1), pp. 138-145, 2006.
8. D. Usher, M. Dumskyj, M. Himaga, T. H. Williamson, S. Nussey, and J. Boyce, "Automated detection of diabetic retinopathy in digital retinal images: a tool for diabetic retinopathy screening," Diabetic Medicine, vol. 21, pp. 84-90, 2003.
9. J. Zheng, J. Tian, K. Deng, X. Dai, X. Zhang, M. Xu, "Salient feature region: a new method for retinal image registration, " IEEE Trans. Inf. Technol. Biomed. vol. 15(2), pp. 221-232, 2011.
10. J. Thirion, "Image matching as a diffusion process: an analogy with maxwell's demons," Med. Image Analysis, vol. 2(3), pp. 243- 260, 1998.
11. Y. Boykov, O. Veksler, R. Zabih, "Fast approximate energy minimization via graph cuts," IEEE Trans. Pattern. Anal. Mach. Intel. vol. 23(11), 1222-1239, 2001.
12. V. Kolmogorov and R. Zabih, "What Energy Functions can be Minimized via Graph Cuts?," IEEE Trans. Pattern. Anal. Mach. Intel. vol. 26(2), 147-159, 2004.
13. Lucac R. and K. Plataniotis, Color Image Processing: Methods and Applications, CRC Press, Florida, USA, 2006.
14. W.S. Rasband, ImageJ, U. S. National Institutes of Health, Bethesda, Maryland, USA, http://imagej.nih.gov/ij/, 1997-2011.
15. P. Kohli, L. Ladicky and P.H.S. Torr, "Robust Higher Order Potentials for Enforcing Label Consistency," Int. J. Computer Vis., vol. 82, 302-324, 2009.