Automatic correspondence using the enhanced hexagonal centre-based inner search algorithm for point-based dental image registration

Dentomaxillofacial Radiology

Volumn 37, Issue 4, 2008, Pages 185-204

  Economopoulos, T ^a   Matsopoulos, George K ^a,c   Asvestas, P A ^a   Grondahl K ^b   Grondahl H G ^b  

^a INSTITUTE OF COMMUNICATION AND COMPUTER SYSTEMS   (Greece)

^b UNIVERSITY OF GOTHENBURG   (Sweden)

^c NONE   (Greece)

Author keywords

Automatic correspondence; Automatic point extraction; Dental imaging; Registration

Indexed keywords

ACCURACY; ALGORITHM; ARTICLE; CLINICAL ARTICLE; DATA ANALYSIS; ENHANCED HEXAGONAL CENTER BASED INNER SEARCH ALGORITHM; GEOMETRY; HUMAN; HUMAN TISSUE; IMAGE DISPLAY; IMAGE PROCESSING; IMAGE QUALITY; IMAGE SUBTRACTION; IMAGING SYSTEM; NOISE; PERFORMANCE; QUALITATIVE ANALYSIS; QUANTITATIVE ANALYSIS; RELIABILITY; TOOTH RADIOGRAPHY;

ALGORITHMS; ALVEOLAR BONE LOSS; ANIMALS; ARTIFACTS; DENTAL IMPLANTS; DOGS; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; MANDIBLE; NEURAL NETWORKS (COMPUTER); PATTERN RECOGNITION, AUTOMATED; RADIOGRAPHIC IMAGE INTERPRETATION, COMPUTER-ASSISTED; RADIOGRAPHY, DENTAL; RADIOGRAPHY, DENTAL, DIGITAL; SUBTRACTION TECHNIQUE;

EID: 44349143423     PISSN: 0250832X     EISSN: None     Source Type: Journal    
DOI: 10.1259/dmfr/26553364     Document Type: Article

References (31)

1. Mol A, Dunn SM, The performance of projective standardization for digital subtraction radiography. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 2003; 96: 373-382.
2. Lehmann TM, Gröndahl HG, Benn DK. Computer-based registration for digital subtraction in dental radiology. Dentomaxillofac Radiol 2000; 29: 323-346.
3. Yoon DC. A new method for the automated alignment of dental radiographs for digital subtraction radiography. Dentomaxillofac Radiol 2000; 29: 11-19.
4. Zacharaki EI, Matsopoulos GK, Asvestas PA, Gröndahl K, Gröndahl HG. A digital subtraction radiography scheme based on automatic multiresolution registration. Dentomaxillofac Radiol 2004; 33: 1-14.
5. Maintz JBA, Viergever MA. A survey of medical image registration. Med Im Anal 1998; 2: 1-36.
6. Hajnal JV, Hill DLG, Hawkes DJ. Medical image registration. Boca Raton, FL: CRC Press, 2001.
7. Zitova B, Flusser J. Image registration methods: a survey. Im Vis Comp 2003; 21: 977-1000.
8. Pluim JPW, Maintz JB, Viergever MA. Mutual information based registration of medical images: a survey. IEEE Trans Med Imag 2003; 22: 986-1004.
9. Johnson H, Christensen G. Consistent landmark and intensity-based image registration. IEEE Trans Med Imag 2002; 21: 450-461.
10. Pizer S, Fritsch D, Yushkevich P, Johnson V, Chaney E. Segmentation, registration, and measurement of shape variation via image object shape. IEEE Trans Med Imag 1996; 18: 851-865.
11. Bookstein F. Shape and the information in medical images: a decade of the morphometric synthesis. Comp Vis Im Under 1997; 66: 97-118.
12. Pitiot A, Thompson P, Toga A. Adaptive elastic segmentation of brain MRI via shape model guided evolutionary programming. IEEE Trans Med Imag 2002; 21: 910-923.
13. Cao Z, Pan S, Li R, Balachandran R, Fitzpatrick MJ, Chapman WC, Dawant BM. Registration of medical images using an interpolated closest point transform: method and validation. Med Image Analysis 2004; 8: 421-427.
14. Chetverikov D, Svirko D, Stepanov D. The trimmed iterative closest point algorithm. Im Conf Patt Recog 2002; 3: 545-548.
15. Besl PJ, McKay ND. A method of registration of 3-D shapes. IEEE Trans Patt Anal Mach Intell 1992; 14: 239-256.
16. Bedekar AS, Haralick RM. A Bayesian method for triangulation and its application to finding corresponding points. Int Conf Im Proc 1995; 2: 2362.
17. Likar B, Pernus F. Automatic extraction of corresponding points for the registration of medical images. Med Phys 1999; 26: 1678-1686.
18. Matsopoulos GK, Asvestas PA, Mouravliansky NA, Delibasis KK. Multimodal registration of retinal images using self organizing maps. IEEE Trans Med Imag 2004; 23: 1557-1563.
19. Press WH, Teukolsky SA, Vetterling WT, Flannery BP. Numerical recipes in C: the art of scientific computing. New York, NY: Cambridge University Press, 1988-1992.
20. Viola P, Wells III WM. Alignment by maximization of mutual information. Int J Comp Vis 1997; 24: 137-154.
21. Zhu C, Lin X, Chau LP, Po LM. Enhanced hexagonal search for fast block motion estimation. IEEE Trans Circ Sys Video Tech 2004; 14: 1210-1214.
22. Kohonen T. Self organizing maps. Berlin: Springer-Verlag, 2000.
23. Gröndahl K, Gröndahl HG, Webber RL. Influence of variations in projection geometry on the detectability of periodontal bone lesions. J Clin Periodontal 1984; 11: 411-420.
24. Gröndahl K, Gröndahl HG, Wennström J, Heijl L. Examiner agreement in estimating changes in periodontal bone from conventional and subtraction radiographs. J Clin Periodontal 1987; 14: 74-79.
25. Borg E, Gröndahl K, Persson LG, Gröndahl HG. Marginal bone level around implants assessed in digital and film radiographs: in vivo study in the dog. Clin Implant Dent Relat Res 2000; 2: 10-17.
26. Gonzalez R, Woods R. Digital image processing. New York, NY: Addison Wesley, 1992, pp 414-428.
27. Matsopoulos GK, Mouravliansky NA, Asvestas PA, Delibasis KK, Kouloulias V. Thoracic non-rigid registration combining self organizing maps and radial basis functions. Med Im Anal 2005; 9: 237-254.
28. Ostuni J, Fisher E, Van der Stelt PF, Dunn SM. Registration of dental radiographs using projective geometry. Dentomaxillofac Radiol 1993; 22: 199-203.
29. Stammberger T, Hohe J, Englmeier KH, Reiser M, Eckstein F. Elastic registration of 3D cartilage surfaces from MR image data for detecting local changes in cartilage thickness. Magn Reson Med 2000; 44: 592-601.
30. Scheuering M, Rezk-Salama C, Barfufl H, Schneider A, Greiner G. Augmented reality based on fast deformable 2D-3D registration for image-guided surgery. Med Im Proc SPIE 2002; 4681: 436-445.
31. Lehmann TM, Gröndahl K, Gröndahl HG, Schmitt W, Spitzer K. Observer-independent registration of perspective projection prior to subtraction of in vivo radiographs. Dentomaxillofac Radiol 1998; 27: 140-150.