An efficient approach for robust multimodal retinal image registration based on UR-SIFT features and PIIFD descriptors

Zeinab Ghassabi1, Jamshid Shanbehzadeh2, Amin Sedaghat3, Emad Fatemizadeh4
1Department of Computer Engineering, Science and Research Branch, Islamic Azad University, Tehran, 4933-14155, Iran
2Department of Computer Engineering, Kharazmi University, Tehran, 37551-31979, Iran
3Faculty of Geodesy and Geomatics Engineering, K.N. Toosi University of Technology, Tehran, 19967-15433, Iran
4Biomedical Signal and Image Processing Laboratory, School of Electrical Engineering, Sharif University of Technology, Tehran, 14588-89694, Iran

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Dithmar S, Holz FG: Fluorescence Angiography in Ophthalmology. Springer Medizin Verlag, Hiedelberg; 2008.

National Eye Institute: Eye health information. . Accessed 27 May 2012 http://www.nei.nih.gov/health/

Zitova B, Flusser J: Image registration methods: a survey. Image. Vis. Comput 2003, 21: 977-1000. http://www.sciencedirect.com/science/article/pii/S0262885603001379 10.1016/S0262-8856(03)00137-9

Goshtasby AA: 2-D and 3-D Image Registration for Medical, Remote Sensing, and Industrial Applications. Wiley, Hoboken; 2005.

Matsopoulos GK, Asvestas MPA, Mouravliansky NA, Delibasis KK: Multimodal registration of retinal images using self organizing maps. IEEE Trans. on Med. Imaging 2004, 12: 1557-1563. 10.1109/TMI.2004.836547

Laliberte F, Gagnon L, Sheng Y: Registration and fusion of retinal images—an evaluation study. IEEE Trans. Med. Imag 2003, 22: 661-673. 10.1109/TMI.2003.812263

Ghassabi Z, Shanbehzadeh J: A study of retinal image registration and mosaicking. In Proceedings of International Conference on Information and Computer Applications. Dubai; 18–20 March 2011.

Tsai CL, Madore B, Leotta M, Sofka M, Yang G, Majerovics A, Tanenbaum HL, Stewart CV, Roysam B: Automated retinal image analysis over the internet. IEEE Trans. Inform. Tech. Biomed 2008, 12: 480-487. 10.1109/TITB.2007.908790

Tae C: Eun, I Cohen, 2-D registration and 3-D shape inference of the retinal fundus from fluorescein images. Med. Image Anal 2008, 12: 1174-1190. 10.1016/j.media.2007.10.002

Matsopoulos GK, Mouravliansky NA, Delibasis KK, Nikita KS: Automatic retinal image registration scheme using global optimization techniques. IEEE Trans. Inform. Tech. Biomed 1999, 3: 47-60. 10.1109/4233.748975

Ritter N, Owens R, Cooper J, Eikelboom R, van Saarloos P: Registration of stereo and temporal images of the retina. IEEE Trans. Med. Imag 1999, 18: 404-418. 10.1109/42.774168

Kubecka L, Jan J: Registration of bimodal retinal images - improving modifications. In Proceeding of 26th IEEE Symposium on Engineering in Medicine and Biology Society. San Francisco; 2004:1-5.

Chanwimaluang T, Fan G, Fransen SR: Hybrid retinal image registration. IEEE Trans. Info. Tech. Biomed 2006, 10: 129-142. 10.1109/TITB.2005.856859

Wei W, Houjin C, Jupeng L, Jiangbo Y: A registration method of fundus images based on edge detection and phase-correlation. In Proceeding of the First IEEE Symposium on Innovative Computing, Information Control. Beijing; 30 August–1 September 2006.

Zana F, Klein JC: A registration algorithm of eye fundus images using a Bayesian Hough transform. In Proceedings of the Seventh International Conference of Image Processing and Its Applications. Manchester; July 1999:13-15.

Brown LG: A survey of image registration techniques. ACM Comput. Surv 1992, 24: 325-376. 10.1145/146370.146374

Yu J, Hung C, Liou BN: Fast algorithm for digital retinal image alignment. In Proceedings of IEEE International Conference on Engineering in Medicine and Biology Society. Seattle; November 1989:9-12.

Can A, Stewart CV, Roysam B, Tanenbaum HL: A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Trans. Pattern Anal. and Mach. Intell 2002, 24: 347-364. 10.1109/34.990136

Tsai C-L, Stewart CV, Tanenbaum HL, Roysam B: Model-based method for improving the accuracy and repeatability of estimating vascular bifurcations and crossovers from retinal fundus images. IEEE Trans. Info. Tech. in Biomed 2004, 8: 122-130. 10.1109/TITB.2004.826733

Chen J, Tian J, Lee N, Zheng J, Smith T, Laine F: A partial intensity invariant feature descriptor for multimodal retinal image registration. IEEE Trans. Biomed. Eng 2010, 57: 1707-718. 10.1109/TBME.2010.2042169

Schmid C, Mohr R, Bauckage C: Evaluation of interest point detectors. Int. J. Comput. Vis 2000, 37: 151-172. 10.1023/A:1008199403446

Lowe DG: Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis 2004, 2: 91-110. 10.1023/B:VISI.0000029664.99615.94

Witkin AP: Scale-space filtering. In Proceedings of the 8th International Conference on Artificial Intelligence. Karlsruhe; August 1983:8-12.

Jupeng L, Houjin C, Chang Y, Xinyuan Z: A robust feature-based method for mosaic of the curved human color retinal images. In Proceedings of Biomedical Engineering and Informatics. Sanya, Hainan; May 2008:27-30.

Tsai CL, Li CY, Yang G, Lin KS: The edge driven dual-bootstrap iterative closest point point algorithm for registration of multimodal fluorescein angiogram sequences IEEE Trans. Med. Imag 2010, 29: 636-649. 10.1109/TMI.2009.2030324

Stewart CV, Tsai CL, Roysam B: The dual-bootstrap iterative closest point algorithm with application to retinal image registration. IEEE Trans. Med. Imag 2003, 22: 1379-1394. 10.1109/TMI.2003.819276

Li C, Xiao-Long Z: Retinal image registration using bifurcation structures. In Proceedings of the 18th IEEE International Conference of Image Processing. Brussels; 2011:11-14.

Zana F, Klein JC: A multimodal registration algorithm of eye fundus images using vessels detection and Hough transform. IEEE Trans. Med. Imag 1999, 18: 419-428. 10.1109/42.774169

Gang L, Stewart CV, Roysam B, Fritzsche K, Gehua Y, Tanenbaum HL: Predictive scheduling algorithms for real-time feature extraction and spatial referencing: application to retinal image sequences. IEEE Trans. Biomed. Eng 2004, 51: 115-125. 10.1109/TBME.2003.820332

Aguilar W, Frauel Y, Escolano F, Martinez-Perez ME, Espinosa-Romero A, Lozano MA: A robust graph transformation matching for non-rigid registration. J. Image and Vis. Comput 2008, 27: 897-910. 10.1016/j.imavis.2008.05.004

Hart WE, Goldbaum MH: Registering retinal images using automatically selected control point pairs. In Proceedings of IEEE International Conference of Image Processing. Austin; November 1994:13-16.

Markaki VE, Asvestas PA, Matsopoulos GK: Application of Kohonen network for automatic point correspondence in 2D medical images. Comput. Biol. Med 2009, 39: 630-645. 10.1016/j.compbiomed.2009.04.006

Ryan N, Heneghan C, de Chazal P: Registration of digital retinal images using landmark correspondence by expectation maximization. Image Vis. Comput 2004, 22: 883-898. 10.1016/j.imavis.2004.04.004

de Ves E, Wilson RC, Hancock ER: Matching blood vessel patterns with the generalised EM algorithm. In Proceedings of the 14th International Conference on Pattern Recognition. Brisbane; August 1998:16-20.

Mikolajczyk K, Schmid C: A performance evaluation of local descriptors. IEEE Trans. Pattern Anal. Mach. Intell 2005, 27: 1615-1630. 10.1109/TPAMI.2005.188

Lowe D: SIFT demo program, Version 4. 2005. . Accessed 27 May 2012 http://www.cs.ubc.ca/spider/lowe/keypoints/

LiFang Wei W, LinLin H, Lin P, Lun Y: The retinal image registration based on scale invariant feature. In Proceedings of IEEE 3rd International Conference on Biomedical Engineering and Informatics. Yantai; October 2010:16-18.

LiFang Wei W, LinLin H, Lin P, Lun Y: The retinal image mosaic based on invariant feature and hierarchical transformation models. In Proceedings of IEEE 2nd International Conference on Image and Signal Processing. Tianjin; October 2009:17-19.

Kelman A, Sofka M, Stewart CV: Keypoint descriptors for matching across multiple image modalities and nonlinear intensity variations. In Proceedings of IEEE Symposium on Computer Vision and Pattern Recognition. Minneapolis; June 2007:17-22.

Yuping L, Medioni G: Retinal image registration from 2D to 3D. In Proceedings of IEEE Symposium on Computer Vision and Pattern Recognition. Anchorage; 23–28 June 2008.

Zheng J, Tian J, Deng K, Dai X, Zhang X, Xu M: Salient feature region: a new method for retinal image registration. IEEE Trans. Inform. Tech. Biomed 2011, 15: 221-232. 10.1109/TITB.2010.2091145

Tsai CL, Huang S-T, Lin K-S, Chen S-J: Robust pairwise registration for images of indocyanine-green angiographic sequences. In Proceedings of IEEE 10th Symposium on Pervasive Systems, Algorithms and Networks. Kaohsiung; 14–16 December 2009.

Chen J, Tian J: Real-time multi-modal rigid registration based on a novel symmetric-SIFT descriptor. Progr. Nat. Sci 2009, 19: 643-651. 10.1016/j.pnsc.2008.06.029

Fischler MA, Bolles RC: Random sample consensus: a paradigm for model fitting with applications to image analysis and automated cartography. Comm. ACM 1981, 381-395. 10.1145/358669.358692

Park J, Keller JM, Gader PD, Schuchard RA: Hough based registration of retinal images. In Proceedings of IEEE International Conference on Systems, Man and Cybernetics. San Diego; 11–14 October 1998.

Sedaghat A, Mokhtarzadee M, Ebadi H: Uniform robust scale-invariant feature matching for optical remote sensing images. IEEE trans. Geosci. Rem. Sens 2011, 49: 4516-4527. 10.1109/TGRS.2011.2144607

Stewart C: Robust parameter estimation in computer vision. SIAM Rev 1999, 41: 513-537. 10.1137/S0036144598345802

ZEISS: Retinal Atlas. , Accessed 12 May 2012 http://www.zeiss.de/czj/de/op/en/zeiss/index_frames.html

Bathina YB, Kartheek NV, Sivaswamy J: Robust matching of multimodal retinal images using a Radon transform based local descriptor. In Proceedings of the 1st ACM International health informatics Symposium (IHI). Arlington; 11–12 November 2010.

Kelman A, Sofka M, Stewart CV: Keypoint descriptors for matching across multiple image modalities and non-linear intensity variations. In Proceedings of the IEEE Computer Society Workshop on Image Registration and Fusion (in conjunction with IEEE CVPR). Minneapolis; 18–23 June 2007.