DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting

Medical Image Analysis

Volumn 15, Issue 4, 2011, Pages 622-639

  Ou, Yangming ^a   Sotiras, Aristeidis ^b,c   Paragios, Nikos ^b,c   Davatzikos, Christos ^a  

^a UNIVERSITY OF PENNSYLVANIA   (United States)

^b ECOLE CENTRALE PARIS   (France)

^c INRIA SACLAY   (France)

Author keywords

Attribute matching; Gabor filter bank; Image registration; Mutual saliency; Outlier data

Indexed keywords

ATTRIBUTE MATCHING; DEFORMABLE REGISTRATION; GABOR FILTER BANKS; HIGHER WEIGHT; IMAGE MODALITY; MORPHOLOGICAL SIGNATURES; MULTISCALES; MUTUAL-SALIENCY; NEGATIVE IMPACTS; OUTLIER DATA; REGISTRATION PROCESS; SIMULATED IMAGES; WEIGHTING FUNCTIONS;

ALGORITHMS; DEFORMATION; FILTER BANKS; OPTIMIZATION;

IMAGE MATCHING;

ACCURACY; ARTICLE; BRAIN; CANCER DIAGNOSIS; CONCEPTUAL FRAMEWORK; DEFORMABLE REGISTRATION VIA ATTRIBUTE MATCHING AND MUTUAL SALIENCY WEIGHTING; DIFFUSION TENSOR IMAGING; GEOMETRY; HEART; IMAGE ANALYSIS; IMAGE PROCESSING; IMAGE REGISTRATION; IMAGE RETRIEVAL; IMAGING AND DISPLAY; MATHEMATICAL ANALYSIS; MORPHOLOGY; NEUROIMAGING; PRIORITY JOURNAL; PROSTATE; SIMULATION; TISSUE DIFFERENTIATION; VOXEL BASED MORPHOMETRY;

ALGORITHMS; BRAIN; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE;

EID: 78951494198     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2010.07.002     Document Type: Article

References (108)

1. Anandan P. A computational framework and an algorithm for the measurement of visual motion. International Journal of Computer Vision 1989, 2:283-310.
2. Ashburner J. A fast diffeomorphic image registration algorithm. NeuroImage 2007, 38(1):95-113.
3. Bai W., Brady M. Regularized b-spline deformable registration for respiratory motion correction in PET images. Physics in Medicine and Biology 2009, 54(9):2719-2736.
4. Bond S., Brady J. Non-rigid registration for colorectal cancer MR images. Computer Vision for Biomedical Image Applications (CVBIA) 2005, 399-408.
5. Bookstein F.L. Principal warps: thin-plate splines and the decomposition of deformations. IEEE Transactions on Pattern Analysis and Machine Intelligence 1989, 11(6):567-585.
6. Chen, X., Brady, M., Lo, J.L.-C., Moore, N., 2005. Simultaneous segmentation and registration of contrast-enhanced breast mri. In: Information Processing in Medical Imaging (IPMI), pp. 126-137.
7. Choi Y., Lee Y. Injectivity conditions of 2d and 3d uniform cubic b-spline functions. Graphical Models 2000, 62(6):411-427.
8. Christensen G.E., Rabbitt R.D., Miller M.I. 3D brain mapping using a deformable neuroanatomy. Physics in Medicine and Biology 1994, 39(3):609-618.
9. Chui H., Rangarajan A. A new point matching algorithm for non-rigid registration. Computer Vision and Image Understanding 2003, 89:114-141.
10. Collins D.L., Neelin P., Peters T.M., Evans A.C. Automatic 3d intersubject registration of MR volumetric data in standardized talairach space. Journal of Computer Assisted Tomography 1994, 18(2):192-205.
11. Crum W.R., Hartkens T., Hill D.L. Non-rigid image registration: theory and practice. The British Journal of Radiology 2004, 77(2):140-153.
12. Csapo I., Holland C., Guttmann C. Image registration framework for large-scale longitudinal MRI data sets: strategy and validation. Magnetic Resonance Imaging 2007, 25(6):889-893.
13. D'Agostino E., Maes F., Vandermeulen D., Suetens P. A viscous fluid model for multimodal non-rigid image registration using mutual information. Medical Image Analysis 2003, 7(4):565-575.
14. Dauguet J., Delzescaux T., Conde F., Mangin J., Ayache N., Hantraye P., Frouin V. Three-dimensional reconstruction of stained histological slices and 3d non-linear registration with in-vivo mri for whole baboon brain. Journal of Neuroscience Methods 2007, 164:191-204.
15. Davatzikos C., Prince J., Bryan R. Image registration based on boundary mapping. IEEE Transactions on Medical Imaging 1996, 15(1):112-115.
16. Duncan, J., Owen, R., Staib, L., Anandan, P., 1991. Measurement of non-rigid motion using contour shape descriptors. In: Computer Vision and Pattern Recognition (CVPR), pp. 318-324.
17. Elbakary M., Sundareshan M. Accurate representation of local frequency using a computationally efficient gabor filter fusion approach with application to image registration. Pattern Recognition Letters 2005, 26(14):2164-2173.
18. Ellingsen L., Prince J. Mjolnir: extending HAMMER using a diffusion transformation model and histogramequalization for deformable image registration. International Journal of Biomedical Imaging 2009, 2009. (Article ID 281615, 18 pp.).
19. Fan Y., Shen D., Gur R.C., Gur R.E., Davatzikos C. COMPARE: lassification of morphological patterns using adaptive regional elements. IEEE Transactions on Medical Imaging 2007, 26(1):93-105.
20. Foroughi, P., Abolmaesumi, P., 2005. Elastic registration of 3d ultrasound images. In: Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 83-90.
21. Friston K.J., Ashburner J., Frith C.D., Poline J.-B., Heather J.D., Frackowiak R.S.J. Spatial registration and normalization of images. Human Brain Mapping 1995, 3(3):165-189.
22. Gee J.C., Reivich M., Bajcsy R. Elastically deforming 3d atlas to match anatomical brain images. Journal of Computer Assisted Tomography 1993, 17(2):225-236.
23. Gee, J., Barillot, C., Le Briquer, L., Haynor, D., Bajcsy, R., 1994. Matching structural images of the human brain using statistical and geometrical image features. In: Proceedings of SPIE, Visualization in Biomedical Computing, pp. 191-204.
24. Geng X., Christensen G.E., Gu H., Ross T.J., Yang Y. Implicit reference-based group-wise image registration and its application to structural and functional mri. NeuroImage 2009, 47(4):1341-1351.
25. Gering D.T., Nabavi A., Kikinis R., Hata N., O'Donnell L.J., Grimson W.E., Jolesz F.A., Black P.M., Wells W.M. An integrated visualization system for surgical planning and guidance using image fusion and an open mr. Journal of Magnetic Resonance Imaging 2001, 13(6):967-975.
26. Glocker B., Komodakis N., Tziritas G., Navab N., Paragios N. Dense image registration through MRFs and efficient linear programming. Medical Image Analysis 2008, 12(6):731-741.
27. Good C., Johnsrude I., Ashburner J., Henson R., Friston K., Frackowiak R. A voxel-based morphometric study of ageing in 465 normal adult human brains. NeuroImage 2004, 14(1):21-36.
28. Guyon I., Elisseeff A. An introduction to variable and feature selection. Journal of Machine Learning Research 2003, 3:1157-1182.
29. Haralick R.M. Statistical and structural approaches to texture. Proceedings of the IEEE 1979, 67(5):786-804.
30. Hata, N., Dohi, T., Warfield, S., Wells, W., Kikinis, R., Jolesz, F., 1998. Multimodality deformable registration of pre- and intraoperative images for MRI-guided brain surgery. In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 1067-1074.
31. Hill D.L., Batchelor P.G., Holden M., Hawkes D.J. Medical image registration. Physics in Medicine and Biology 2001, 46(3):1-45.
32. Holden M. A review of geometric transformations for nonrigid body registration. IEEE Transactions on Medical Imaging 2008, 27(1):111-128.
33. Huang, X., Sun, Y., Metaxas, D., Sauer, F., Xu, C., 2004. Hybrid image registration based on configural matching of scale-invariant salient region features. In: Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04), vol. 1.
34. Jain A.K., Farrokhnia F. Unsupervised texture segmentation using gabor filters. Pattern Recognition 1991, 24(12):1167-1186.
35. Jian, B., Vemuri, B., Marroquin, J., 2005. Robust nonrigid multimodal image registration using local frequency maps. In: Information Processing in Medical Imaging (IPMI), pp. 504-515.
36. Joshi S.C., Miller M.I. Landmark matching via large deformation diffeomorphisms. IEEE Transactions on Image Processing 2000, 9(8):1357-1370.
37. Joshi S., Davis B., Jomier M., Gerig G. Unbiased diffeomorphic atlas construction for computational anatomy. NeuroImage 2004, 23(1):151-160.
38. Kadir T., Brady M. Saliency, scale and image description. International Journal of Computer Vision 2001, V45(2):83-105.
39. Kamarainen, J., 2003. Feature extraction using gabor filters. Ph.D. thesis, Lappeenranta University of Technology, Finland.
40. Komodakis N., Tziritas G., Paragios N. Performance vs computational efficiency for optimizing single and dynamic mrfs: setting the state of the art with primal-dual strategies. Computer Vision and Image Understanding 2008, 112(1):14-29.
41. Kybic J., Unser M. Fast parametric elastic image registration. IEEE Transactions on Image Processing 2003, 12(11):1427-1442.
42. Lawes I., Barrick T., Murugam V., Spierings N., Evans D., Song M., Clark C. Atlas-based segmentation of white matter tracts of the human brain using diffusion tensor tractography and comparison with classical dissection. NeuroImage 2008, 39(1):62-79.
43. Lazebnik S., Schmid C., Ponce J. A sparse texture representation using local affine regions. IEEE Transactions on Pattern Analysis and Machine Intelligence 2005, 27(8):1265-1278.
44. Leow A., Yanovsky I., Chiang M., Lee A., Klunder A., Lu A., Becker J., Davis S., Toga A., Thompson P. Statistical properties of jacobian maps and the realization of unbiased large-deformation nonlinear image registration. IEEE Transactions on Medical Imaging 2007, 26(6):822-832.
45. Lester H., Arridge S. A survey of hierarchical non-linear medical image registration. Pattern Recognition 1999, 32(1):129-149.
46. Liao, S., Chung, A., 2009. Non-rigid image registration with uniform spherical structure patterns. In: Information Processing in Medical Imaging (IPMI), pp. 163-175.
47. Li G., Guo L., Liu T. Deformation invariant attribute vector for deformable registration of longitudinal brain MR images. Computerized Medical Imaging and Graphics 2009, 33(5):273-297.
48. Ling, H., Jacobs, D., 2005. Deformation invariant image matching. In: The Tenth International Conference in Computer Vision (ICCV), Beijing, China.
49. Liu J., Vemuri B.C., Marroquin J.L. Local frequency representations for robust multimodal image registration. IEEE Transactions on Medical Imaging 2002, 21(5):462-469.
50. Liu T., Shen D., Davatzikos C. Deformable registration of cortical structures via hybrid volumetric and surface warping. NeuroImage 2004, 22(4):1790-1801.
51. Lopes R., Betrouni N. Fractal and multifractal analysis: a review. Medical Image Analysis 2009, 13(4):634-649.
52. Luan H., Qi F., Xue Z., Chen L., Shen D. Multimodality image registration by maximization of quantitativecqualitative measure of mutual information. Pattern Recognition 2008, 41(1):285-298.
53. Maes F., Collignon A., Vandermeulen D., Marchal G., Suetens P. Multimodality image registration by maximization of mutual information. IEEE Transactions on Medical Imaging 1997, 16(2):187-198.
54. Mahapatra, D., Sun, Y., 2008. Registration of dynamic renal MR images using neurobiological model of saliency. In: IEEE International Symposium on Biomedical Imaging (ISBI), pp. 1119-1122.
55. Maintz J.B.A., Viergever M.A. A survey of medical image registration. Medical Image Analysis 1998, 2(1):1-36.
56. Manjunath B.S., Ma W. Texture features for browsing and retrieval of image data. IEEE Transactions on Pattern Analysis and Machine Intelligence 1996, 18(8):837-842.
57. McAuliffe, M., Lalonde, F., McGarry, D., Gandler, W., Csaky, K., Trus, B., 2001. Medical image processing, analysis and visualization in clinical research. In: Proceedings of the 14th IEEE Computer-Based Medical Systems, pp. 381-386.
58. McEachen J., Duncan J.S. Shape-based tracking of left ventricular wall motion. IEEE Transactions on Medical Imaging 1997, 16(3):270-283.
59. Meyer C., Boes J., Kim B., Bland P., Zasadny K., Kison P., Koral K., Frey K., Wahl R. Demonstration of accuracy and clinical versatility of mutual information for automatic multimodality image fusion using affine and thin-plate spline warped geometric deformations. Medical Image Analysis 1997, 1(3):195-206.
60. Meyer C., Moffat B., Kuszpit K., Bland P., Mckeever P., Johnson T., Chenevert T., Rehemtulla A., Ross B. A methodology for registration of a histological slide and in vivo MRI volume based on optimizing mutual information. Molecular Imaging 2006, 5(1):16-23.
61. Munoz-Moreno E., Cardenes-Almeida R., Martin-Fernandez M. Review of techniques for registration of diffusion tensor imaging. Tensors in Image Processing and Computer Vision 2009, 273-297.
62. Muratore D., Russ J., Dawant B., Galloway R.J. Three-dimensional image registration of phantom vertebrae for image-guided surgery: a preliminary study. Comuter Aided Surgey 2003, 7(6):342-352.
63. Ou Y., Davatzikos C. DRAMMS: deformable registration via attribute matching and mutual-saliency weighting 2009, 50-62.
64. Ou Y., Shen D., Feldman M., Tomaszewski J., Davatzikos C. Non-rigid registration between histological and MR images of the prostate: a joint segmentation and registration framework 2009, 125-132.
65. Ou Y., Shen D., Zeng J., Sun L., Moul J., Davatzikos C. Sampling the spatial patterns of cancer: optimized biopsy procedures for estimating prostate cancer volume and gleason score. Medical Image Analysis 2009, 13(4):609-620.
66. Periaswamy S., Farid H. Medical image registration with partial data. Medical Image Analysis 2006, 10(3):452-464.
67. Pitiot A., Bardinet E., Thompson P., Malandain G. Piecewise affine registration of biological images for volume reconstruction. Medical Image Analysis 2006, 10(3):465-483.
68. Pluim J.P.W., Maintz J.B.A., Viergever M.A. Mutual-information-based registration of medical images: a survey. IEEE Transactions on Medical Imaging 2003, 22(8):986-1004.
69. Pohl K.M., Fisher J., Grimson E., Kininis R., Wells W.M. A bayesian model for joint segmentation and registration. NeuroImage 2006, 31:228-239.
70. Prastawa M., Gilmore J.H., Lin W., Gerig G. Automatic segmentation of MR images of the developing newborn brain. Medical Image Analysis 2005, 9(5):457-466.
71. 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(6):526-534.
72. 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(8):712-721.
73. Rueckert, D., Aljabar, P., Heckemann, R.A., Hajnal, J.V., Hammers, A., 2006. Diffeomorphic registration using b-splines. In: Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 702-709.
74. Shen D. Image registration by local histogram matching. Pattern Recognition 2007, 40(4):1161-1172.
75. Shen D., Davatzikos C. HAMMER: hierarchical attribute matching mechanism for elastic registration. IEEE Transactions on Medical Imaging 2003, 21(11):1421-1439.
76. Shen D., Davatzikos C. Measuring temporal morphological changes robustly in brain mr images via 4-dimensional template warping. NeuroImage 2004, 21(4):1508-1517.
77. Shen D., Herskovits E., Davatzikos C. An adaptive-focus statistical shape model for segmentation and shape modeling of 3-d brain structures. IEEE Transactions on Medical Imaging 2001, 20(4):257-270.
78. Shi P., Sinusas A.J., Constable R.T., Ritman E., Duncan J.S. Point-tracked quantitative analysis of left ventricular surface motion from 3-d image sequences. IEEE Transactions on Medical Imaging 2000, 19(1):36-50.
79. Sotiras, A., Komodakis, N., Glocker, B., Paragios, N., 2009. Graphical models and deformable diffeomorphic population registration using global and local metrics. In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI).
80. Sundar H., Litt H., Shen D. Estimating myocardial motion by 4d image warping. Pattern Recognition 2009, 42(11):2514-2526.
81. Thirion J.-P. Image matching as a diffusion process: an analogy with maxwell's demons. Medical Image Analysis 1998, 2(3):243-260.
82. Thompson P.M., Apostolova L.G. Computational anatomical methods as applied to ageing and dementia. The British Journal of Radiology 2007, 80:78-91.
83. Thompson P., Toga A.W. A surface-based technique for warping three-dimensional images of the brain. IEEE Transactions on Medical Imaging 1996, 15(4):402-417.
84. Vercauteren, T., Pennec, X., Perchant, A., Ayache, N., 2007. Non-parametric diffeomorphic image registration with the demons algorithm. In: International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), vol. 4792, pp. 319-326.
85. Vercauteren T., Pennec X., Perchant A., Ayache N. Diffeomorphic demons: efficient non-parametric image registration. NeuroImage 2009, 45(1):S61-S72.
86. Verma, R., Davatzikos, C., 2004. Matching of diffusion tensor images using gabor features. In: IEEE International Symposium on Biomedical Imaging (ISBI), pp. 396-399.
87. Verma R., Zacharaki E., Ou Y., Cai H., Chawla S., Lee S., Melhem E., Wolf R., Davatzikos C. Multiparametric tissue characterization of brain neoplasms and their recurrence using pattern classification of mr images. Acadmic Radiology 2008, 15(8):966-977.
88. Wang F., Vemuri B.C., Eisenschenk S.J. Joint registration and segmentation from brain mri. Academic Radiology 2006, 13(9):1101-1111.
89. Wells W., Viola P., Atsumi H., Nakajima S., Kikinis R. Multi-modal volume registration by maximization of mutual information. Medical Image Analysis 1996, 1(1):35-51.
90. Wu G., Qi F., Shen D. Learning-based deformable registration of MR brain images. IEEE Transactions on Medical Imaging 2006, 25(9):1145-1157.
91. Wu, G., Qi, F., Shen, D., 2007. Learning best features and deformation statistics for hierarchical registration of MR brain images. In: Information Processing in Medical Imaging (IPMI), pp. 160-171.
92. Wyatt P., Nobel J. Map mrf joint segmentation and registration of medical images. Medical Image Analysis 2003, 7:539-552.
93. Xing, Y., Xue, Z., Englander, S., Schnall, M., Shen, D., 2008. Improving parenchyma segmentation by simultaneous estimation of tissue property t1 map and group-wise registration of inversion recovery mr breast images. In: Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 342-350.
94. Xue Z., Shen D., Davatzikos C. Determining correspondence in 3-d MR brain images using attribute vectors as morphological signatures of voxels. IEEE Transactions on Medical Imaging 2004, 23(10):1276-1291.
95. Xue Z., Shen D., Davatzikos C. CLASSIC: consistent longitudinal alignment and segmentation for serial image computing. NeuroImage 2006, 30(2):388-399.
96. Xue, Z., Wong, K., S., W., 2008. Joint registration and segmentation of serial lung ct images in microendoscopy molecular image- guided therapy. In: Medical Imaging and Augmented Reality, pp. 12-20.
97. Xue, Z., Long, L., Antani, S., Jeronimo, J., Thoma, G., 2009. Segmentation of mosaicism in cervicographic images using support vector machines. In: Proceedings of the SPIE Medical Imaging.
98. Yang, J., Blum, R.S., Williams, J., Sun, Y., Xu, C., 2006. Non-rigid image registration using geometric features and local salient region features. In: IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), pp. 825-832.
99. Yang, J., Shen, D., Davatzikos, C., 2008. Diffusion tensor image registration using tensor geometry and orientation features. In: Medical Image Computing and Computer-Assisted Intervention (MICCAI), pp. 905-913.
100. Yap P., Wu G., Zhu H., Lin W., Shen D. TIMER: tensor image morphing for elastic registration. NeuroImage 2009, 47:549-563.
101. Yezzi, A., Zollei, L., Kapur, T., 2001. A variational framework for joint segmentation and registration. In: Mathematical Methods in Biomedical Image Analysis (MMBIA).
102. Zacharaki E., Shen D., Lee S., Davatzikos C. Orbit: a multiresolution framework for deformable registration of brain tumor images. IEEE Transactions on Medical Imaging 2008, 27(8):1003-1017.
103. Zhan Y., Shen D. Deformable segmentation of 3d ultrasound prostate images using statistical texture matching method. IEEE Transactions on Medical Imaging 2006, 25:256-272.
104. Zhan Y., Ou Y., Feldman M., Tomaszeweski J., Davatzikos C. Registering histologic and MR images of prostate for image-based cancer detection. Academic Radiology 2007, 14(11):1367-1381.
105. Zhang, J., Liu, Y., 2004. Cervical cancer detection using SVM based feature screening. In: Medical Image Computing and Computer Assisted Intervention (MICCAI), pp. 873-880.
106. Zitova B., Flusser J. Image registration methods: a survey. Image and Vision Computing 2003, 21(11):977-1000.
107. Zollei, L., Learned-Miller, E., Grimson, E., Wells, W.I., 2005. Efficient population registration of 3d data. In: ICCV Workshop: Computer Vision for Biomedical Image Applications (CVBIA), pp. 291-301.
108. Zuo C., Jiang A., Buff B., Mahon T., Wong T. Automatic motion correction for breast MR imaging. Radiology 1996, 198:903-906.