Robust feature-based registration using a Gaussian-weighted distance map and brain feature points for brain PET/CT images

Computers in Biology and Medicine

Volumn 38, Issue 9, 2008, Pages 945-961

  Lee, Ho ^a   Lee, Jeongjin ^b   Kim, Namkug ^b   Kim, Sang Joon ^b   Shin, Yeong Gil ^a  

^a Seoul National University   (South Korea)

^b Asan Medical Center   (South Korea)

Author keywords

Brain segmentation; Feature based registration; Gaussian weighted distance map; PET CT registration; Rigid registration

Indexed keywords

COMPUTERIZED TOMOGRAPHY; ELECTRIC INSTRUMENT TRANSFORMERS; ERROR ANALYSIS; FEATURE EXTRACTION; LOCATION; MAPS; PLASTIC BOTTLES; POSITRON ANNIHILATION SPECTROSCOPY; POSITRON EMISSION TOMOGRAPHY; TRELLIS CODES;

BRAIN SEGMENTATION; CHAMFER MATCHING; CLINICAL DATA; CLINICAL USES; COMPUTATIONAL COSTS; COMPUTATIONAL TIME; CONVENTIONAL METHODS; CT IMAGING; FEATURE POINTS; FEATURE-BASED REGISTRATION; GAUSSIAN; GAUSSIAN-WEIGHTED DISTANCE; GAUSSIAN-WEIGHTED DISTANCE MAP; IMAGE CHARACTERISTICS; NORMALIZED MUTUAL INFORMATION; OPTIMAL LOCATIONS; PET IMAGING; PET/CT REGISTRATION; REGISTRATION METHODS; RIGID REGISTRATION;

IMAGE ENHANCEMENT;

FLUORODEOXYGLUCOSE F 18;

ACCURACY; ARTICLE; BRAIN MAPPING; BRAIN SIZE; CLINICAL ARTICLE; COMPUTER ASSISTED TOMOGRAPHY; CONTROLLED STUDY; HUMAN; IMAGE ANALYSIS; MATHEMATICAL MODEL; NEUROIMAGING; POSITRON EMISSION TOMOGRAPHY; PRIORITY JOURNAL;

BRAIN; COMPUTER SIMULATION; HUMANS; IMAGING, THREE-DIMENSIONAL; POSITRON-EMISSION TOMOGRAPHY; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; SOFTWARE DESIGN; TOMOGRAPHY, X-RAY COMPUTED;

EID: 50649090895     PISSN: 00104825     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compbiomed.2008.04.001     Document Type: Article

References (31)

1. Maintz J.B.A., and Viergever M.A. A survey of medical image registration. Med. Image Anal. 2 1 (1998) 1-36
2. Zitova B., and Flusser J. Image registration methods: a survey. Image Vision Comput. 21 (2003) 977-1000
3. Audette M.A., Ferrie F.P., and Peters T.M. An algorithmic overview of surface registration techniques for medical imaging. Med. Image Anal. 4 (2000) 201-217
4. Wang Y., Peterson B.S., and Staib L.H. 3D Brain surface matching based on geodesics and local geometry. Comput. Vision Image Understanding 89 (2003) 252-271
5. Xiao G., Ong S.H., and Foong K.W.C. Efficient partial-surface registration for 3D objects. Comput. Vision Image Understanding 98 (2005) 271-294
6. Liu Y. Improving ICP with easy implementation for free-form surface matching. Pattern Recognition 37 (2004) 211-226
7. Hsu L.Y., and Loew M.H. Fully automatic 3D feature-based registration of multi-modality medical images. Image Vision Comput. 19 (2001) 75-85
8. Borgefors G. Hierarchical chamfer matching: a parametric edge matching algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 10 6 (1988) 849-865
9. Herman G.T., Zheng J., and Bucholtz C.A. Shape-based interpolation. IEEE Comput. Graphics Appl. 12 3 (1992) 69-79
10. Itti L., Chang L., Mangin J.-F., Darcourt J., and Ernst T. Robust multimodality registration for brain mapping. Hum. Brain Mapp. 5 (1997) 3-17
11. Cai J., Chu J.C.H., Recine D., Sharma M., Nguyen C., Rodebaugh R., Saxena V.A., and Ali A. CT and PET lung image registration and fusion in radiotherapy treatment planning using the chamfer-matching method. Int. J. Radiat. Oncol. Biol. Phys. 43 4 (1999) 883-891
12. Maintz J.B.A., van den Elsen P.A., and Viergever M.A. Comparison of edge-based and ridge-based registration of CT and MR brain images. Med. Image Anal. 1 2 (1996) 151-161
13. Thevenaz P., and Unser M. Optimization of mutual information for multiresolution image registration. IEEE Trans. Image Process. 9 12 (2000) 2083-2099
14. Pluim J.P.W., Maintz J.B.A., and Viergever M.A. Mutual information matching in multiresolution contexts. Image Vision Comput. 19 (2001) 45-52
15. Maintz J.B.A., van den Elsen P.A., and Viergerver M.A. 3D multimodality medical image registration using morphological tools. Image Vision Comput. 19 (2001) 53-62
16. Ding L., Goshtasby A., and Satter M. Volume image registration by template matching. Image Vision Comput. 19 (2001) 821-832
17. Cizek J., Herholz K., Vollmar S., Schrader R., Klein J., and Heiss W. Fast and robust registration of PET and MR images of human brain. NeuroImage 22 (2004) 434-442
18. Maes F., Collignon A., Marchal G., and Suetens P. Multimodality image registration by maximization of mutual information. IEEE Trans. Med. Imaging 16 2 (1997) 187-198
19. Pluim J.P.W., Maintz J.B.A., and Viergever M.A. Mutual information based registration of medical images: a survey. IEEE Trans. Med. Imaging 22 8 (2003) 986-1004
20. Studholme C., Hill D.L.G., and Hawkes D.J. An overlap invariant entropy measure of 3D medical image alignment. Pattern Recognition 32 (1999) 71-86
21. Pluim J.P.W., Maintz J.B.A., and Viergever M.A. Image registration by maximization of combined mutual information and gradient information. IEEE Trans. Med. Imaging 19 8 (2000) 809-814
22. Chen H., and Varshney P.K. Mutual information-based CT-MR brain image registration using generalized partial volume joint histogram estimation. IEEE Trans. Med. Imaging 22 9 (2003) 1111-1119
23. Knops Z.F., Maintz J.B.A., Viergever M.A., and Pluim J.P.W. Normalized mutual information based registration using k-means clustering and shading correction. Med. Image Anal. 10 3 (2006) 432-439
24. Lee H., and Hong H. Robust surface registration using a Gaussian-weighted distance map in PET-CT Brain images. LNCS 3773 (2005) 794-803
25. Adams R., and Bischof L. Seeded region growing. IEEE Trans. Pattern Anal. Mach. Intell. 16 6 (1994) 641-647
26. Gonzalez R.G., and Woods R.E. Digital Image Processing. first ed. (1993), Addison-Wesley, Reading, MA
27. Maes F., Vandermeulen D., and Suetens P. Comparative evaluation of multiresolution optimization strategies for multimodality image registration by maximization of mutual information. Med. Image Anal. 3 4 (1999) 373-386
28. Barrett W., and Mortensen N. Interactive live-wire boundary extraction. Med. Image Anal. 1 4 (1997) 331-341
29. Kim D., Kim H., and Kang H.S. An object-tracking segmentation method: vertebra and rib segmentation in CT images. Proc. SPIE 4684 (2002) 1662-1671
30. Press W.H., Teukolsky S.A., Vetterling W.T., and Flannery B.P. Numerical Recipes in C: The Art of Scientific Computing. second ed. (1999), Cambridge University Press, Cambridge
31. Zhu Y.M., and Cochoff S.M. Likelihood maximization approach to image registration. IEEE Trans. Image Process. 11 12 (2002) 1417-1426