Landmark matching based retinal image alignment by enforcing sparsity in correspondence matrix

Medical Image Analysis

Volumn 18, Issue 6, 2014, Pages 903-913

  Zheng, Yuanjie ^a   Daniel, Ebenezer ^b   Hunter, Allan A ^b   Xiao, Rui ^b   Gao, Jianbin ^d   Li, Hongsheng ^d   Maguire, Maureen G ^b   Brainard, David H ^c   Gee, James C ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b UNIVERSITY OF PENNSYLVANIA   (United States)

^c UNIVERSITY OF PENNSYLVANIA   (United States)

^d UNIVERSITY OF ELECTRONIC SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Image alignment; Point matching; Retinal image; Sparsity; Transformation

Indexed keywords

ALIGNMENT; COMBINATORIAL OPTIMIZATION; LINEAR PROGRAMMING; OPHTHALMOLOGY;

IMAGE ALIGNMENT; POINT-MATCHING; RETINAL IMAGE; SPARSITY; TRANSFORMATION;

IMAGE MATCHING;

ARTICLE; EYE FUNDUS; IMAGE ANALYSIS; IMAGE QUALITY; PRIORITY JOURNAL; RETINA IMAGE; SYSTEM ANALYSIS; ALGORITHM; ANATOMY AND HISTOLOGY; AUTOMATED PATTERN RECOGNITION; COMPUTER ASSISTED DIAGNOSIS; HUMAN; IMAGE ENHANCEMENT; IMAGE SUBTRACTION; PROCEDURES; REPRODUCIBILITY; RETINA; RETINOSCOPY; SENSITIVITY AND SPECIFICITY;

ALGORITHMS; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; PATTERN RECOGNITION, AUTOMATED; PROGRAMMING, LINEAR; REPRODUCIBILITY OF RESULTS; RETINA; RETINOSCOPY; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 84901694461     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2013.09.009     Document Type: Article

References (47)

1. Becker D.E., Can A., Turner J.N., Tanenbaum H.L., Roysam B. Image processing algorithms for retinal montage synthesis, mapping, and real-time location determination. IEEE Transactions on Biomedical Engineering 1998, 45:105-118.
2. Belongie S., Malik J., Puzicha J. Shape matching and object recognition using shape contexts. IEEE Transactions on Pattern Analysis and Machine Intelligence 2001, 24:509-522.
3. Berg, A.C., Berg, T.L., Malik, J., 2005. Shape matching and object recognition using low distortion correspondence, in: IEEE Conference on Computer Vision and Pattern Recognition, pp. 26-33.
4. Brown M., Lowe D.G. Automatic panoramic image stitching using invariant features. International Journal of Computer Vision 2007, 74:59-73.
5. Candes E., Romberg J. Sparsity and incoherence in compressive sampling. Inverse Problems 2007, 23:969.
6. Candes E.J., Tao T. Decoding by linear programming. IEEE Transactions on Information Theory 2005, 51:4203-4215.
7. Can A., Stewart C.V., Roysam B., Tanenbaum H.L. A feature-based, robust, hierarchical algorithm for registering pairs of images of the curved human retina. IEEE Transactions on Pattern Analysis and Machine Intelligence 2002, 24:347-364.
8. Cao, H., 2008. A Novel Automated Approach of Multi-Modality Retinal Image Registration and Fusion. Ph.D. thesis, Louisiana State University.
9. CAPT Study Group, et al., 2004. The complications of age-related macular degeneration prevention trial (capt): rationale, design and methodology. Clinical Trials 1, 91-107.
10. Cattin P.C., Bay H., Van Gool L., Székely G. Retina mosaicing using local features. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2006 2006, 185-192. Springer.
11. Chanwimaluang T., Fan G., Fransen S.R. Hybrid retinal image registration. IEEE Transactions on Information Technology in Biomedicine 2006, 10:130-142.
12. Chen S., Billings S.A., Luo W. Orthogonal least squares methods and their application to non-linear system identification. International Journal of control 1989, 50:1873-1896.
13. Chui H., Rangarajan A. A new point matching algorithm for non-rigid registration. Computer Vision and Image Understanding 2003, 89:114-141.
14. Dhillonb B., Eikelboomf R.H., Yogesana K., Constablea I.J. Retinal image analysis: concepts, applications and potential. Progress in Retinal and Eye Research 2006, 25:99-127.
15. Donoho D.L. For most large underdetermined systems of linear equations the minimal l1-norm solution is also the sparsest solution. Communications on Pure and Applied Mathematics 2006, 59:797-829.
16. Gholipour A., Kehtarnavaz N., Briggs R., Devous M., Gopinath K. Brain functional localization: a survey of image registration techniques. IEEE Transactions on Medical Imaging 2007, 26:427-451.
17. Hu M.K. Visual pattern recognition by moment invariants. IRE Transactions on Information Theory 1962, 179-187.
18. Huang J., Zhang T., Metaxas D. Learning with structured sparsity. Proceedings of the 26th Annual International Conference on Machine Learning 2009, 417-424. ACM.
19. Jiang, H., Yu, S.X., 2009. Linear solution to scale and rotation invariant object matching. In: IEEE Conference on Computer Vision and Pattern Recognition.
20. Koh K., Kim S.J., Boyd S.P. An interior-point method for large-scale l1-regularized logistic regression. Journal of Machine Learning Research 2007, 8:1519-1555.
21. Kolar R., Kubecka L., Jan J. Registration and fusion of the autofluorescent and infrared retinal images. International Journal of Biomedical Imaging 2008, 2008:513478.
22. Lee, S., Abràmoff, M.D., Reinhardt, J.M., 2007. Feature-based pairwise retinal image registration by radial distortion correction. In: Medical Imaging. International Society for Optics and Photonics, pp. 651220-651220.
23. Li H., Huang J., Zhang S., Huang X. Optimal object matching via convexification and composition. 2011 IEEE International Conference on Computer Vision (ICCV) 2011, 33-40. IEEE.
24. Li H., Huang X., He L. Object matching using a locally affine invariant and linear programming techniques. IEEE Transactions on Pattern Analysis and Machine Intelligence 2013, 35:411-424.
25. Liu C., Freeman W.T., Szeliski R., Kang S.B. Noise estimation from a single image. 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition 2006, 901-908. IEEE.
26. Martin D., Maguire M., Fine S., Ying G., Jaffe G., Grunwald J., Toth C., Redford M., Ferris F. Comparison of age-related macular degeneration treatments trials (catt) research group: Ranibizumab and bevacizumab for treatment of neovascular age-related macular degeneration: two-year results. Ophthalmology 2012, 119:1388-1398.
27. Matsopoulos G.K., Mouravliansky N.A., Delibasis K.K., Nikita K.S. Automatic retinal image registration scheme using global optimization techniques. IEEE Transactions on Medical Imaging 1999, 3:47-60.
28. Modersitzki J. Numerical Methods for Image Registration 2004, Oxford University Press, New York, NY, USA.
29. Narasimha-Iyer H., Can A., Roysam B., Stewart V., Tanenbaum H.L., Majerovics A., Singh H. Robust detection and classification of longitudinal changes in color retinal fundus images for monitoring diabetic retinopathy. IEEE Transactions on Biomedical Engineering 2006, 53:1084-1098.
30. Quigley H.A., Addicks E.M., Green W.R., et al. Optic nerve damage in human glaucoma. iii. Quantitative correlation of nerve fiber loss and visual field defect in glaucoma, ischemic neuropathy, papilledema, and toxic neuropathy. Archives of Ophthalmology 1982, 100:135.
31. Rohr K., Stiehl H.S., Sprengel R., Buzug T.M., Weese J., Kuhn M.H. Landmark-based elastic registration using approximating thin-plate splines. IEEE Transactions on Medical Imaging 2001, 20:526-534.
32. Rueckert D., Sonoda L.I., Hayes C., Hill D.L., Leach M.O., Hawkes D.J. Nonrigid registration using free-form deformations: application to breast mr images. IEEE Transactions on Medical Imaging 1999, 18:712-721.
33. Shechtman, E., Irani, M., 2007. Matching local self-similarities across images and videos. In: IEEE Conference on Computer Vision and Pattern Recognition.
34. Shen D., Davatzikos C. Hammer: Hierarchical attribute matching mechanism for elastic registration. IEEE Transactions on Medical Imaging 2002, 21:1421-1439.
35. Stewart C.V., ling Tsai C., Roysam B. The dual-bootstrap iterative closest point algorithm with application to retinal image registration. IEEE Transactions on Medical Imaging 2003, 22:1379-1394.
36. Tibshirani R. Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society. Series B (Methodological) 1996, 267-288.
37. Tobin K.W., Chaum E., Govindasamy V.P., Karnowski T.P. Detection of anatomic structures in human retinal imagery. IEEE Transactions on Medical Imaging 2007, 26:1729-1739.
38. Treigys P., Dzemyda G., Barzdziukas V. Automated positioning of overlapping eye fundus images. Computational Science - ICCS 2008 2008, 770-779. Springer.
39. Waters, A.E., Sankaranarayanan, A.C., Baraniuk, R.G., 2011. Sparcs: Recovering low-rank and sparse matrices from compressive measurements. In: Neural Information Processing Systems (NIPS), pp. 1089-1097.
40. Winder R., Morrow P., McRitchie I., Bailie J., Hart P. Algorithms for digital image processing in diabetic retinopathy. Computerized Medical Imaging and Graphics: The Official Journal of the Computerized Medical Imaging Society 2009, 33:608.
41. Wood A.J., Fine S.L., Berger J.W., Maguire M.G., Ho A.C. Age-related macular degeneration. New England Journal of Medicine 2000, 342:483-492.
42. Wright M. The interior-point revolution in optimization: history, recent developments, and lasting consequences. Bulletin of the American Mathematical Society 2005, 42:39-56.
43. Zana F., Klein J.C. A multimodal registration algorithm of eye fundus images using vessels by hough transform. IEEE Transactions on Medical Imaging 1999, 18:419-428.
44. Zhan Y., Feldman M., Tomaszeweski J., Davatzikos C., Shen D. Registering histological and mr images of prostate for image-based cancer detection. Medical Image Computing and Computer-Assisted Intervention - MICCAI 2006 2006, 620-628. Springer.
45. Zhang S., Zhan Y., Dewan M., Huang J., Metaxas D.N., Zhou X.S. Towards robust and effective shape modeling: sparse shape composition. Medical image analysis 2012, 16:265-277.
46. Zheng Y., Doermann D. Robust point matching for nonrigid shapes by preserving local neighborhood structures. IEEE Transactions on Pattern Analysis and Machine Intelligence 2006, 28:643-649.
47. Zheng Y., Hunter A.A., Wu J., Wang H., Gao J., Maguire M.G., Gee J.C. Landmark matching based automatic retinal image registration with linear programming and self-similarities. Information Processing in Medical Imaging 2011, 674-685. Springer.