TPS-HAMMER: Improving HAMMER registration algorithm by soft correspondence matching and thin-plate splines based deformation interpolation

NeuroImage

Volumn 49, Issue 3, 2010, Pages 2225-2233

  Wu, Guorong ^a   Yap, Pew Thian ^a   Kim, Minjeong ^a   Shen, Dinggang ^a  

^a UNIVERSITY OF NORTH CAROLINA SCHOOL OF MEDICINE   (United States)

Author keywords

Deformable registration; HAMMER; Soft correspondence; Thin plate splines

Indexed keywords

ACCURACY; AGED; ARTICLE; BRAIN REGION; BRAIN VENTRICLE; CEREBROSPINAL FLUID; COMPUTER PROGRAM; CONTROLLED STUDY; GRAY MATTER; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; INTERMETHOD COMPARISON; KERNEL METHOD; MATHEMATICAL ANALYSIS; NORMAL HUMAN; NUCLEAR MAGNETIC RESONANCE IMAGING; PRIORITY JOURNAL; WHITE MATTER;

AGED; ALGORITHMS; BRAIN; BRAIN MAPPING; HUMANS; IMAGE INTERPRETATION, COMPUTER-ASSISTED; MAGNETIC RESONANCE IMAGING;

EID: 71849096928     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2009.10.065     Document Type: Article

References (24)

1. Beresford T., Arciniegas D., Alfers J., Clapp L., Martin B., Beresford H., Du Y., Liu D., Shen D., Davatzikos C., and Laudenslager M. Hypercortisolism in alcohol dependence and its relation to hippocampal volume loss. J. Stud. Alcohol 67 (2006) 861-867
2. Beresford T.P., Arciniegas D.B., Alfers J., Clapp L., Martin B., Du Y., Liu D., Shen D., and Davatzikos C. Hippocampus volume loss due to chronic heavy drinking. Alcohol., Clin. Exp. Res. 30 (2006) 1866-1870
3. Bookstein F.L. Principal warps: thin-plate splines and the decomposition of deformations. IEEE Trans. Pattern Anal. Mach. Intell. 11 (1989) 567-585
4. Christensen, G.E., 1999. Consistent linear-elastic transformations for image matching, in MICCAI, pp. 224-237.
5. Christensen, G.E., Geng, X., Kuhl, J.G., Bruss, J., Grabowski, T.J., Pirwani, I.A., Vannier, M.W., Allen, J.S., and Damasio, H., 2006. Introduction to the Non-rigid Image Registration Evaluation Project (NIREP). 3rd International Workshop on Biomedical Image Registration, vol. LCNS 4057, pp. 128-135.
6. Chui H., and Rangarajan A. A new point matching algorithm for non-rigid registration. Comput. Vis. Image Underst. 89 (2003) 114-141
7. Davatzikos C., and Prince J.L. Brain image registration based on curve mapping. Proc., IEEE Workshop Biomed. Image Analysis (1994) 245-254
8. Davatzikos C., Genc A., Xu D., and Resnick S.M. Voxel-based morphometry using the RAVENS maps: methods and validation using simulated longitudinal atrophy. NeuroImage 14 (2001) 1361-1369
9. Evans A.C., Dai W., Collins L., Neelin P., and Marrett S. Warping of a computerized 3D atlas to match brain image volumes for quantitative neuroanatomical and functional analysis. SPIE Proc., Image Proc. Algorithms and Techniques 1445 (1991) 236-246
10. Joshi S., Davis B., Jomier M., and Gerig G. Unbiased diffeomorphic atlas construction for computational anatomy. NeuroImage 23 Suppl. 1 (2004) S151-S160
11. Kelemen A., Szekely G., and Gerig G. Elastic model-based segmentation of 3-D neuroradiological data sets. IEEE Trans. Med. Imaging 18 (October 1999) 828-839
12. Lao Z., Shen D., Xue Z., Karacali B., Resnick S.M., and Davatzikos C. Morphological classification of brains via high-dimensional shape transformations and machine learning methods. NeuroImage 21 (2004) 46-57
13. Lo, C.H. and Don, H.S., 1989, 3-D moment forms: their construction and application to object identification and positioning," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 11, pp. 1053-1064, 1989 October.
14. Marsland S., and Twining C.J. Constructing diffeomorphic representations for the groupwise analysis of nonrigid registrations of medical images. Medical Imaging, IEEE Transactions on 23 (2004) 1006-1020
15. Pennec X. Intrinsic statistics on riemannian manifolds: basic tools for geometric measurements. J. Math. Imaging Vis. 25 (2006) 127-154
16. Shen D. Image registration by local histogram matching. Pattern Recogn. 40 (2007) 1161-1171
17. Shen D. Fast image registration by hierarchical soft correspondence detection. Pattern Recogn. 42 (2009) 954-961
18. Shen D., and Davatzikos C. HAMMER: hierarchical attribute matching mechanism for elastic registration. IEEE Trans. Med. Imaging 21 (November 2002) 1421-1439
19. Shen D.G., and Davatzikos C. Very high resolution morphometry using mass-preserving deformations and HAMMER elastic registration. NeuroImage 18 (January 2003) 28-41
20. Shen D., and Davatzikos C. Measuring temporal morphological changes robustly in brain MR images via 4-dimensional template warping. NeuroImage 21 (April 2004) 1508-1517
21. Shen D., Liu D., Liu H., Clasen L., Giedd J., and Davatzikos C. Automated morphometric study of brain variation in XXY males. NeuroImage 23 (2004) 648-653
22. Suman B., and Kumar P. A survey of simulated annealing as a tool for single and multiobjective optimization. J. Oper. Res. Soc. 57 (2005) 1143-1160
23. Wu, G., Qi, F. and Shen, D., 2007 "Learning best features and deformation statistics for hierarchical registration of MR brain images," in IPMI, The Netherlands, 2007, pp. 160-171.
24. Xue Z., Shen D., Karacali B., Stern J., Rottenberg D., and Davatzikos C. Simulating deformations of MR brain images for validation of atlas-based segmentation and registration algorithms. NeuroImage 33 (2006) 855-866 2006/11/15