Hybrid retinal image registration using phase correlation

Imaging Science Journal

Volumn 61, Issue 4, 2013, Pages 369-384

  Kolar, R ^a   Harabis, V ^a   Odstrcilik, J ^a  

^a BRNO UNIVERSITY OF TECHNOLOGY   (Czech Republic)

Author keywords

Feature extraction; Image registration; Phase correlation; Retinal imaging; Segmentation; Visualisation

Indexed keywords

ILLUMINATION CONDITIONS; PHASE CORRELATION; PHASE CORRELATION METHOD; REGISTRATION ACCURACY; REGISTRATION PROCESS; RETINAL IMAGE REGISTRATIONS; RETINAL IMAGING; SECOND-ORDER POLYNOMIAL;

FEATURE EXTRACTION; IMAGE SEGMENTATION; OPHTHALMOLOGY; PATHOLOGY; VISUALIZATION;

IMAGE REGISTRATION;

EID: 84877674648     PISSN: 13682199     EISSN: 1743131X     Source Type: Journal    
DOI: 10.1179/1743131X11Y.0000000065     Document Type: Article

References (44)

1. Borgefors, G. Hierarchical chamfer matching: a parametric edge matching algorithm. IEEE Trans. Pattern Anal. Mach. Intell., 1988, 10, 849-865.
2. Brown, L. G. A survey of image registration techniques. ACM Comput. Surv., 1992, 24, 325-376.
3. Can, A. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Trans. Pattern Anal. Mach. Intell., 2002, 24, 347-364.
4. Chanwimaluang, T., Fan, G. and Fransen, S. R. Hybrid retinal image registration. IEEE Trans. Inf. Technol. Biomed., 2006, 10, 129-142.
5. Chen, J., Tian, J., Lee, N., Zheng, J., Smith, R. T. and Laine, A. F. A partial intensity invariant feature descriptor for multimodal retinal image registration. IEEE Trans. Biomed. Eng., 2010, 57, 1707-1718.
6. Cunha-Vaz, J. Characterization and relevance of different diabetic retinopathy phenotypes. Dev. Ophthalmol., 2007, 39, 13-30.
7. Deng, K. X., Tian, J., Zheng, J., Zhang, X., Dai, X. Q. and Xu, M. Retinal fundus image registration via vascular structure graph matching. Int. J. Biomed. Imaging, 2010, 2010, 146-168.
8. Fang, B. and Tang, Y. Y. Elastic registration for retinal images based on reconstructed vascular trees. IEEE Trans. Biomed. Eng., 2006, 53, 1183-1187.
9. Fong, D. S., Ferris, F. L., Davis, M. D. and Chew, E. Y. ETDRS Research Group: causes of severe visual loss in the Early Treatment Diabetic Retinopathy Study (ETDRS Report No. 24). Am. J. Ophthalmol., 1999, 127, 137-141.
10. Yan, H. and Liu, J. Robust phase correlation based feature matchinig for image co-registration and DEM generation, Proc. XXI Cong. of International Society for Photogrammetry and Remote Sensing, Beijing, China, July 2008, ISPRS, pp. 1751-1775.
11. Hajnal, J. V., Hill, L. G. D. and Hawkes, D. J. Medical Image Registration, 2001 (CRC Press, Boca Raton, FL).
12. Huang, J.-Z., Tan, T.-N., Ma, L. and Wang, Y.-H. Phase correlation based iris image registration model. J. Comput. Sci. Technol., 2005, 20, 419-425.
13. Jain, A. K. Fundamentals of Digital Image Processing, 1988 (Prentice Hall, Upper Saddle River, NJ).
14. Jan, J. Digital Signal Filtering Analysis and Restoration, 2000, IEE Telecommunications Series 44 (IEE, London).
15. Kolar, R., Kubecka, L. and Jan, J. Registration and fusion of the autofluorescent and infrared retinal images. Int. J. Biomed. Imaging, 2008, 2008, Article 513478.
16. Kolar, R., Laemmer, R., Jan, J. and Mardin, Ch. Y. The segmentation of zones with increased autofluorescence in the junctional zone of parapapillary atrophy. Physiol. Measure., 2009, 30, 505-516.
17. Kubecka, L. and Jan, J. Retinal image fusion and registration, Proc. 3rd EMBE Conf.: EMBEC'05, Prague, Czech Republic, November 2005, EAMBS, pp. 256-261.
18. Kubecka, L., Jan, J., Kolar, R. and Jirik, R. Improving quality of autofluorescence images using non-rigid image registration, Proc. 14th European Signal Processing Conf.: EUSIPCO 2006, Florence, Italy, September 2006, EURASIP, pp. 357-361.
19. Laliberte, F., Gagnon, L. and Sheng, Y. Registration and fusion of retinal images - an evaluation study. IEEE Trans. Med. Imaging, 2003, 22, 661-673.
20. Lang, G. E. Diabetic Retinopathy, 2007 (Karger, Basel).
21. Lindeberg, T. Feature detection with automatic scale selection. Int. J. Comput. Vis., 1998, 30, 79-116.
22. Lloret, D. 'Medical image registration based on creaseness measure', PhD thesis, University Barcelona, Barcelona, Spain, 2001.
23. Maintz, J. B. A. and Viergever, M. A. A survey of medical image registration. Med. Image Anal., 1998, 2, 1-37.
24. Matsopoulos, G. K., Asvestas, P. A., Mouravliansky, N. A. and Konstantinos, D. K. Multimodal registration of retinal images using self organizing maps. IEEE Trans. Med. Imaging, 2004, 23, 1557-1563.
25. Murat, B. and Hassan, F. Subpixel registration directly from the phase difference. EURASIP J. Appl. Signal Process., 2006, 2006, Article 60796.
26. Niemann, H., Chrastek, R., Lausen, B., Kubecka, L., Jan, J., Mardin, Ch. Y. and Michelson, G. Towards automated diagnostic evaluation of retina images. Pattern Recognit. Image Anal., 2006, 16, 671-676.
27. Odstrcilk, J., Jan, J., Gazarek, J. and Kolar, R. Improvement of vessel segmentation by matched filtering in colour retinal images. IFMBE Proc., 2009, 25, 327-330.
28. Pluim, J. P. W., Maintz, J. B. A. and Viergever, M. A. Mutual information based registration of medical images: a survey. IEEE Trans. Med. Imaging, 2003, 22, 986-1004.
29. Press, W. H., Teukolsky, S. A., Vetterling, W. T. and Flannery, B. P. Numerical Recipes in C (2nd ed.): The Art of Scientific Computing, 1992 (Cambridge University Press, New York).
30. Reddy, B. B. and Chatterji, B. N. An FFT-based technique for translation, rotation, and scale-invariant image registration. IEEE Trans. Image Process., 1996, 5, 1266-1271.
31. Ritter, N., Owens, R., Cooper, J., Eikelboom, R. H. and Saarloos, P. P. Registration of stereo and temporal images of the retina. IEEE Trans. Med. Imaging, 1999, 18, 404-418.
32. Rosin, P. L., Marshall, D. and Morgan, J. E. Multimodal retinal imaging: new strategies for the detection of glaucoma, Proc. Int. Conf. on Image processing: ICIP 2002, Rochester, NY, USA, September 2002, IEEE, pp. 137-140.
33. Ryan, N., Heneghan, C. and de Chazal, P. Registration of digital images using landmark correspondence by expectation maximization. Image Vis. Comput., 2004, 22, 883-898.
34. Sezgin, M. and Sankur, B. Survey over image thresholding techniques and quantitative performance evaluation. J. Electron. Imaging, 2004, 13, 146-168.
35. Shapiro, L. and Stockman, G. Computer Vision: A Modern Approach, 2002 (Prentice Hall, Upper Saddle River, NJ).
36. Shen, H., Stewart, C. V., Roysam, B., Lin, G. and Tanenbaum, H. L. Frame-rate spatial referencing based on invariant indexing and alignment with application to online retinal image registration. IEEE Trans. Pattern Anal. Mach. Intell., 2003, 25, 379-384.
37. Song, T., Lee, V. S., Chen, Q., Rusinek, H. and Laine, A. F. An automated three-dimensional plus time registration framework for dynamic MR renography. J. Vis. Commun. Image Represent., 2010, 21, 1-8.
38. Staal, J. J., Abramoff, M. D., Niemeijer, M., Viergever, M. A. and van Ginneken, B. Ridge based vessel segmentation in color images of the retina. IEEE Trans. Med. Imaging, 2004, 23, 501-509.
39. Stewart, C. V., Tsai, Ch. and Roysam, B. The dualbootstrap iterative closest point algorithm with application to retinal image registration. IEEE Trans. Med. Imaging, 2003, 22, 1379-1394.
40. Trujillo, L. and Olague, G. Automated design of image operators that detect interest points. Evol. Comput., 2008, 16, 483-507.
41. Wang, W., Chen, H. J., Li, J. P. and Yu, J. B. A registration method of fundus images based on edge detection and phase-correlation, Proc. Int. Conf. on Innovative computing, information and control: ICICIC 2006, Beijing, China, August-September 2006, IEEE Computer Society, pp. 572-576.
42. Zana, F. and Klein, J. C. A multimodal registration algorithm of eye fundus images using vessels detection and Hough transform. IEEE Trans. Med. Imaging, 1999, 18, 419-428.
43. Zheng, J., Tian, J., Dai, Y.K., Deng, K.X. and Chen, J. Retinal image registration based on salient feature regions. Conf. Proc. IEEE Eng. Med. Biol. Soc., 2009, 2009, 102-105.
44. Zitova, B. and Flusser, J. Image registration methods: a survey. Image Vis. Comput., 2003, 21, 977-1000.