Selective image similarity measure for bronchoscope tracking based on image registration

Medical Image Analysis

Volumn 13, Issue 4, 2009, Pages 621-633

  Deguchi, Daisuke ^a   Mori, Kensaku ^a   Feuerstein, Marco ^a   Kitasaka, Takayuki ^b   Maurer Jr , Calvin R ^c   Suenaga, Yasuhito ^a   Takabatake, Hirotsugu ^d   Mori, Masaki ^e   Natori, Hiroshi ^f  

^a NAGOYA UNIVERSITY   (Japan)

^b AICHI INSTITUTE OF TECHNOLOGY   (Japan)

^c STANFORD UNIVERSITY   (United States)

^d Minami sanjo Hospital   (Japan)

^e Sapporo Kosei General Hospital   (Japan)

^f SAPPORO MEDICAL UNIVERSITY SCHOOL OF MEDICINE   (Japan)

Author keywords

Bronchoscopy; Camera tracking; Image registration; Image similarity; Motion recovery; Tracking; Video image analysis; Virtual bronchoscopy

Indexed keywords

BRONCHOSCOPY; CAMERA TRACKING; IMAGE SIMILARITY; MOTION RECOVERY; TRACKING; VIDEO IMAGE ANALYSIS; VIRTUAL BRONCHOSCOPY;

CAMERAS; COMPUTERIZED TOMOGRAPHY; ENDOSCOPY; FABRICS; IMAGE ANALYSIS; IMAGE REGISTRATION; NAVIGATION; SENSORS;

TRACKING (POSITION);

ARTICLE; BRONCHOSCOPE; BRONCHOSCOPY; CAMERA; COMPUTER ASSISTED TOMOGRAPHY; ELECTROMAGNETIC FIELD; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; INTERMETHOD COMPARISON; PRIORITY JOURNAL; SENSOR; VIDEORECORDING; X RAY;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; BRONCHOSCOPY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SUBTRACTION TECHNIQUE; USER-COMPUTER INTERFACE;

EID: 70149108057     PISSN: 13618415     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.media.2009.06.001     Document Type: Article

References (36)

1. Acton F.S. Numerical Methods that Work. Math. Assoc. Am. (1990) 464-467
2. Bricault I., Ferretti G., and Cinquin P. Registration of real and CT-derived virtual bronchoscopic images to assist transbronchial biopsy. IEEE Trans. Med. Imaging 17 5 (1998) 703-714
3. Burschka D., Li M., Taylor R., Hager G.D., and Ishii M. Scale-invariant registration of monocular endoscopic images to CT-scans for sinus surgery. Med. Image Anal. 9 5 (2005) 413-439
4. In: Caramella D., and Bartolozzi C. (Eds). 3D Image Processing - Techniques and Clinical Application (2002), Springer, Berlin
5. Carrillo A., Duerk J.L., Lewin J.S., and Wilson D.L. Semiautomatic 3-D image registration as applied to interventional MRI liver cancer treatment. IEEE Trans. Med. Imaging 19 3 (2000) 175-185
6. Chung A.J., Deligianni F., Shah P., Wells A., and Yang G.Z. Patient-specific bronchoscopy visualization through BRDF estimation and disocclusion correction. IEEE Trans. Med. Imaging 25 4 (2006) 503-513
7. Deligianni F., Chung A.J., and Yang G.Z. Nonrigid 2-D/3-D registration for patient specific bronchoscopy simulation with statistical shape modeling: phantom validation. IEEE Trans. Med. Imaging 25 11 (2006) 1462-1471
8. Edwards P.J., King A.P., Maurer Jr. C.R., de Cunha D.A., Hawkes D.J., Hill D.L.G., Gaston R.P., Fenlon M.R., Jusczyzck A., Strong A.J., Chandler C.L., and Gleeson M.J. Design and evaluation of a system for microscope-assisted guided interventions (MAGI). IEEE Trans. Med. Imaging 19 11 (2000) 1082-1093
9. Forsyth D.A., and Ponce J. Computer Vision - A Modern Approach (2003), Prentice Hall, New Jersey
10. Fuchs, H., State, A., Pisano, E.D., Garrett, W.F., Hirota, G., Livingston, M., Whitton, M.C., Pizer, S.M., 1996. Toward Performing Ultrasound Guided Needle Biopsies from within A Head-Mounted Display. Lecture Notes in Computer Science, Visualization in Biomedical Computing, vol. 1131, Hamburg, pp. 591-600.
11. Geiger, B., Kikinis, R., 1995. Simulation of Endoscopy, Computer Vision, Virtual Reality and Robotics in Medicine, LNCS, vol. 905, Springer, pp. 277-281.
12. In: Hajnal J.V., Hill D.L.G., and Hawkes D.J. (Eds). Medical Image Registration (2001), CRC Press, Boca Raton
13. Helferty, J.P., Higgins, W.E., 2001. Technique for registering 3D virtual CT images to endoscopic video. In: Proceedings of ICIP (International Conference on Image Processing), pp. 893-896.
14. Helferty J.P., Sherbondy A.J., Kiraly A.P., and Higgins W.E. Computer-based system for the virtual-endoscopic guidance of bronchoscopy. Comput. Vision Image Understanding 108 1-2 (2007) 171-187
15. Higgins W.E., Helferty J.P., Lu K., Merritt S.A., Rai L., and Yu K. 3D CT-video fusion for image-guided bronchoscopy. Comput. Med. Imaging Graph. 32 3 (2008) 159-173
16. Hong L., Muraki S., Kaufman A., Bartz D., and He T. Virtual voyage: interactive navigation in the human colon. Comput. Graph. (1997) 27-34
17. Horn B.K.P. Robot Vision (1986), The MIT Press, Massachusetts, Cambridge
18. Koizumi, N., Sumiyama, K., Suzuki, N., Hattori, A., Tajiri, H., and Uchiyama, A. 2002. Development of three-dimensional endoscopic ultrasound system with optical tracking. In: Proceedings of MICCAI 2002, vol. 2488, LNCS, pp. 60-65.
19. Kruger, J., Westermann, R., 2003. Acceleration techniques for GPU-based volume rendering. In: Proceedings of the 14th IEEE Visualization 2003 (VIS'03), pp. 287-292.
20. Merritt S.A., Rai L., and Higgins W.E. Real-time CT-video registration for continuous endoscopic guidance. Proc. of SPIE 6143 (2006) 614313-1-614313-15
21. Mori K., Urano A., Hasegawa J., Toriwaki J., Anno H., and Katada K. Virtualized endoscope system - an application of virtual reality technology to diagnostic aid. IEICE Trans. Inf. Syst. E79-D 6 (1996) 809-819
22. Mori K., Deguchi D., Sugiyama J., Suenaga Y., Toriwaki J., Maurer Jr. C.R., Takabatake H., and Natori H. Tracking of a bronchoscope using epipolar geometry analysis and intensity-based image registration of real and virtual endoscopic images. Med. Image Anal. 6 (2002) 321-336
23. Mori, K., Suenaga, Y., Toriwaki, J., 2002. Fast volume rendering based on software optimization using multimedia instructions on PC platform. In: Proceedings of Computer Assisted Radiology and Surgery (CARS) 2002, pp. 467-472.
24. Mori, K., Deguchi, D., Akiyama, K., Kitasaka, T., Maurer, C.R. Jr., Suenaga, Y., Takabatake, H., Mori, M., Natori, H., 2005. Hybrid Bronchoscope Tracking Using a Magnetic Tracking Sensor and Image Registration. In: Proceedings of 8th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2005), Part II, vol. 3750, LNCS, pp. 543-550.
25. Penney G.P., Weese J., Little J.A., Desmedt P., Hill D.L.G., and Hawkes D.J. A comparison of similarity measures for use in 2-D-3-D medical image registration. IEEE Trans. Med. Imaging 17 4 (1998) 175-185
26. In: Peters T., and Cleary K. (Eds). Image-Guided Interventions: Technology and Applications (2008), Springer, Berlin Editor
27. In: Rogalla P., Terwisscha van Scheltinga J., and Hamm B. (Eds). Virtual Endoscopy and Related 3D Techniques (2001), Springer, Berlin
28. Rubin G., Beaulieu C., Argiro V., Ringl H., Norbash A., Feller J., Dake M., Jeffrey R., and Napel S. Perspective volume rendering of CT and MR images: applications for endoscopic imaging. Radiology 199 (1996) 321-330
29. Sato Y., Nakamoto M., Tamaki Y., Sasama T., Sakita I., Nakajima Y., Monden M., and Tamura S. Image guidance of breast cancer surgery using 3-D ultrasound images and augmented reality visualization. IEEE Trans. Med. Imaging 17 5 (1998) 681-693
30. Shahidi R., Bax M.R., Maurer Jr. C.R., Johnson J.A., Wilkinson E.P., Wang B., West J.B., Citardi M.J., Manwaring K.H., and Khadem R. Implementation, calibration and accuracy testing of an image-enhanced endoscopy system. IEEE Trans. Med. Imaging 21 12 (2002) 1524-1535
31. Shinohara R., Mori K., Deguchi D., Kitasaka T., Suenaga Y., Takabatake H., Mori M., and Natori H. Branch identification method for CT-guided bronchoscopy based on eigenspace image matching between real and virtual bronchoscopic images. Proc. SPIE Med. Imaging 6143 (2006) 614314-1-614314-12
32. Tsai, R.Y., 1986. An efficient and accurate camera calibration technique for 3D machine vision. In: Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, pp. 364-374.
33. Tsai R.Y. A versatile camera calibration technique for high-accuracy 3D machine vision metrology using off-the-shelf TV cameras and lenses. IEEE J. Robot. Automat. RA-3 4 (1987) 323-344
34. Vining, D.J., Shitrin, R.Y., Haponik, E.F., Liu, K., Choplin, R.H., 1994. Virtual Bronchoscopy, Radiology, 193 (P), Supplement to Radiology (RSNA Scientific Program), p. 261.
35. Viola P., and Wells W.M. Alignment by maximization of mutual information. Int. J. Comput. Vision 24 2 (1997) 137-154
36. Wells W.M., Viola P., Atsumi H., Nakajima S., and Kikinis R. Multi-modal volume registration by maximization of mutual information. Med. Image Anal. 1 (1996) 35-51