Interest points localization for brain image using landmark-annotated atlas

International Journal of Imaging Systems and Technology

Volumn 22, Issue 2, 2012, Pages 145-152

  Lu, Huanxiang ^a   Nolte, Lutz Peter ^a   Reyes, Mauricio ^a  

^a UNIVERSITY OF BERN   (Switzerland)

Author keywords

atlas construction; feature selection; Gabor filter; landmarks localization

Indexed keywords

ATLAS CONSTRUCTION; BLOCK MATCHING; BRAIN IMAGES; CROSS VALIDATION; LANDMARK DETECTION; LANDMARKS LOCALIZATION; LEARNING PROCESS; POINT LOCALIZATION; SPATIAL INFORMATIONS;

FEATURE EXTRACTION; GABOR FILTERS; IMAGE REGISTRATION;

MAGNETIC RESONANCE;

EID: 84862092037     PISSN: 08999457     EISSN: 10981098     Source Type: Journal    
DOI: 10.1002/ima.22015     Document Type: Article

References (23)

1. V. Arsigny, O. Commowick, X. Pennec, and, N. Ayache, A Log-Euclidean framework for statistics on diffeomorphisms, In Proceedings of MICCAI, Copenhagen, Denmark (2006), 924-931. (Pubitemid 44609194)
2. M.F. Beg, M.I. Miller, A. Trouve, and, L. Younes, Computing large deformation metric mappings via geodesic flows of diffeomorphisms. Int J Comput Vis 61 (2005), 139-157.
3. J.R. DeQuardo, M.S. Keshavan, F.L. Bookstein, W.W. Bagwell, W.D.K. Green, J.A. Sweeny, G.L. Haas, R. Tandon, N.R. Schoolwer, and, J.W. Pettegrew, Landmark-based morphometric analysis of first-episode schizophrenia. Biol Psychiatry 45 (1999), 1321-1328. (Pubitemid 29292509)
4. S. Frantz, K. Rohr, and, H.S. Stiehl, Localization of 3D anatomical point landmarks in 3D tomographic images using deformable models. In Proceedings of MICCAI, Pittsburg, USA (2000), 492-501.
5. A. Gartus, A. Geissler, T. Foki, A.R. Tahamtan, G. Pahs, M. Barth, K. Pinker, S. Trattnig, and, R. Beisteiner, Comparison of fMRI coregistration results between human experts and software solutions in patients and healthy subjects. Eur Radiol 17 (2007), 1634-1643. (Pubitemid 46767612)
6. R. Guerrero, R. Wolz, and, D. Rueckert, Laplacian Eigenmaps manifold learning for landmark localization in brain MR images, In proceedings of MICCAI, Toronto, Canada (2011), 566-573.
7. A. Guimond, J. Meunier, and, J.-P. Thirion, Average brain models: A convergence study. Comput Vis Image Understand 77 (2001), 192-210.
8. C. Izard, B. Jedynak, and, C.E.L. Stark, Spline-based probabilistic model foranatomical landmark detection. In proceedings of MICCAI, Copenhagen, Denmark (2006), 849-856. (Pubitemid 44609185)
9. F.D. Jordan, M. Schuetz, and, M. Kunt, Fast hybrid block/region-based algorithm for object tracking. In Proceedings of SPIE, Boston, USA (1997), 2915: 96-107.
10. R. Kohavi, and, G.H. John, Wrappers for feature subset selection. Artif Intell 97 (1997), 273-324. (Pubitemid 127401107)
11. Z. Lao, D. Shen, Z. Xue, B. Karacali, S.M. Resnick, and, C. Davatzikos, Morphological classification of brains via high-dimensional shape transformations and machine learning methods. NeuroImage 21 (2004), 46-57. (Pubitemid 38114995)
12. D.G. Lowe, Object recognition from local scale-invariant features. Proc Int Conf Comput Vis 2 (1999), 1150-1157.
13. H. Lu, P.C. Cattin, and, M. Reyes, A hybrid multimodal non-rigid registration of MR images based on diffeomorphic demons. In Proceedings of EMBC, Buenos Aires, Argentina (2010), 5951-5954.
14. B.S. Manjunath, and, W.Y. Ma, Texture features for browsing and retrieval of image data. IEEE Trans Pattern Anal Mach Intell 18 (1996), 837-842. (Pubitemid 126772825)
15. Y. Ou, A. Besbes, M. Bilello, M. Mansour, C. Davatzikos, and, N. Paragios, Detecting mutually-salient landmark pairs with MRF regularization. In proceedings of ISBI, Rotterdam, Netherland (2010), 400-403.
16. Y. Ou, A. Sotiras, N. Paragios, and, C. Davatzikos, DRAMMS: Deformable registration via attribute matching and mutual-saliency weighting. Med Image Anal 15 (2011), 622-639.
17. K. Rohr, On 3D differential operators for detecting point landmarks. Image Vis Comput 15 (1997), 219-233. (Pubitemid 127428679)
18. J.-P. Thirion, New feature points based on geometric invariants for 3D image registration. Int J Comput Vis 18 (1996), 121-137. (Pubitemid 126713872)
19. T. Vercauteren, X. Pennec, A. Perchant, and, N. Ayache, Diffeomorphic demons: efficient non-parametric image registration. NeuroImage 45 (2009), S61-S72.
20. S. Worz, and, K. Rohr, Localization of anatomical point landmarks in 3D medical images by fitting 3D parametric intensity models. Med Image Anal 10 (2006), 41-58. (Pubitemid 41754726)
21. G. Wu, F. Qi, and, D. Shen, Learning best features and deformation statistics for hierarchical registration of MR brain images. In Proceedings of IPMI, Manchester, UK (2007), 160-171.
22. Y. Zhan, and, D. Shen, Deformatble segmentation of 3D ultrasound prostate images using statistical texture matching method. IEEE Trans Med Imag 25 (2006), 256-272. (Pubitemid 43320643)
23. S.K. Zhou, B. Georgescu, X.S. Zhou, and, D. Comaniciu, Image based regression using boosting method. In proceedings of IEEE International Conference on Computer Vision, Beijing, China (2005), 541-548. (Pubitemid 44055003)