Development and comparison of new hybrid motion tracking for bronchoscopic navigation

Medical Image Analysis

Volumn 16, Issue 3, 2012, Pages 577-596

  Luó, Xióngbia o ^a   Feuerstein, Marco ^a,b   Deguchi, Daisuke ^a   Kitasaka, Takayuki ^a,c   Takabatake, Hirotsugu ^d   Mori, Kensaku ^a  

^a NAGOYA UNIVERSITY   (Japan)

^b TECHNICAL UNIVERSITY OF MUNICH   (Germany)

^c AICHI INSTITUTE OF TECHNOLOGY   (Japan)

^d Sapporo Minami Sanjo Hospital   (Japan)

Author keywords

Bronchoscope tracking; Bronchoscopic navigation system; Camera motion estimation; Image registration; Virtual bronchoscopy

Indexed keywords

CAMERA MOTION ESTIMATION; CAMERA MOTIONS; CHEST CT; COMPARATIVE ASSESSMENT; DATA SETS; EPIPOLAR CONSTRAINTS; EPIPOLAR GEOMETRY; HYBRID ALGORITHMS; HYBRID METHOD; IMAGE FEATURES; INTER-FRAME; KALMAN-FILTERING; MOTION TRACKING; PATIENT DATA; PHANTOM DATA; SIFT FEATURE; STATE-OF-THE-ART METHODS; TRACKING METHOD; VIRTUAL BRONCHOSCOPY; VIRTUAL CAMERA;

CAMERAS; ENDOSCOPY; ESTIMATION; HOSPITAL DATA PROCESSING; IMAGE REGISTRATION; KALMAN FILTERS; MOTION ESTIMATION; NAVIGATION SYSTEMS;

THREE DIMENSIONAL;

ACCURACY; ALGORITHM; ARTICLE; BRONCHOSCOPY; CALCULATION; CAMERA; COMPUTER ASSISTED TOMOGRAPHY; DIGITAL FILTERING; GEOMETRY; HUMAN; IMAGE ANALYSIS; IMAGE DISPLAY; IMAGE PROCESSING; KALMAN FILTERING; MOTION; MOTION TRACKING; PHANTOM; PRIORITY JOURNAL; RADIOLOGICAL PARAMETERS; RADIOLOGICAL PROCEDURES; SCALE INVARIANT FEATURE TRANSFORM; THREE DIMENSIONAL IMAGING; VIDEORECORDING; VIRTUAL REALITY;

ALGORITHMS; BRONCHOSCOPY; HUMANS; IMAGE ENHANCEMENT; IMAGE INTERPRETATION, COMPUTER-ASSISTED; IMAGING, THREE-DIMENSIONAL; MOTION; PATTERN RECOGNITION, AUTOMATED; REPRODUCIBILITY OF RESULTS; SENSITIVITY AND SPECIFICITY; SURGERY, COMPUTER-ASSISTED;

EID: 84858074119     PISSN: 13618415     EISSN: 13618423     Source Type: Journal    
DOI: 10.1016/j.media.2010.11.001     Document Type: Article

References (42)

1. Becker H.D., Herth F., Ernst A., Schwarz Y. Bronchoscopic biopsy of peripheral lung lesions under electromagnetic guidance: a pilot study. Journal of Bronchology & Interventional Pulmonology 2005, 12(1):9-13.
2. Berghen F.V., Bersini H. CONDOR, a new parallel, constrained extension of powell's UOBYQA algorithm: experimental results and comparison with the DFO algorithm. Journal of Computational and Applied Mathematics 2005, 181(1):157-175.
3. Bricault I., Ferretti G., Cinquin P. Registration of real and CT-derived virtual bronchoscopic images to assist transbronchial biopsy. IEEE Transactions on Medical Imaging 1998, 17(5):703-714.
4. Chung A.J., Deligianni F., Shah P., Wells A., Yang G.Z. Patient-specific bronchoscopy visualization through BRDF estimation and disocclusion correction. IEEE Transactions on Medical Imaging 2006, 25(4):503-513.
5. Davison A.J., Reid I.D., Molton N.D., Stasse O. MonoSLAM: real-time single camera SLAM. IEEE Transaction on Pattern Analysis and Machine Intelligence 2007, 29(6):1052-1067.
6. Deguchi D., Mori K., Feuerstein M., Kitasaka T., Maurer C.R., Suenaga Y., Takabatake H., Mori M., Natori H. Selective image similarity measure for bronchoscope tracking based on image registration. Medical Image Analysis 2009, 13(4):621-633.
7. Deligianni, F., Chung, A., Yang, G.Z., 2005. Predictive camera tracking for bronchoscope simulation with CONDensation. In: Proceedings of MICCAI, vol. 3749. pp. 910-916.
8. Deligianni F., Chung A.J., Yang G.Z. Nonrigid 2-D/3-D registration for patient specific bronchoscopy simulation with statistical shape modeling: phantom validation. IEEE Transactions on Medical Imaging 2006, 25(11):1462-1471.
9. Durrant-Whyte H., Balley T. Simultaneous localization and mapping: part I. IEEE Robotics & Automation Magazine 2006, 13(2):99-108.
10. Eggert D., Lorusso A., Fisher R. Estimating 3-D rigid body transformations: a comparison of four major algorithms. Machine Vision and Applications 1997, 9(5-6):272-290.
11. Feuerstein M., Reichl T., Vogel J., Traub J., Navab N. Magneto-optical tracking of flexible laparoscopic ultrasound: model-based online detection and correction of magnetic tracking errors. IEEE Transactions on Medical Imaging 2009, 28(6):951-967.
12. Gildea T.R., Mazzone P.J., Karnak D., Meziane M., Mehta A.C. Electromagnetic navigation diagnostic bronchoscopy: a prospective study. American Journal of Respiratory and Critical Care Medicine 2006, 174(9):982-989.
13. Grasa, O.G., Civera, J., Güemes, A., Munoz, V., Montiel, J., 2009. EKF monocular SLAM 3d modeling, measuring and augmented reality from endoscope image sequences. In: 5th Workshop on Augmented Environments for Medical Imaging including Augmented Reality in Computer-Aided Surgery.
14. Hajnal J.V., Hill D.L.G., Hawkes D.J. Medical Image Registration 2001, CRC Press.
15. Hartley R., Zisserman A. Multiple View Geometry in Computer Vision 2004, Cambridge University Press.
16. Heikkilä, J., Silvén, O., 1997. A four-step camera calibration procedure with implicit image correction. In: Proceedings of IEEE CVPR 1997. pp. 1106-1112.
17. Helferty J., Sherbondy A., Kiraly A., Higgins W. Computer-based system for the virtual-endoscopic guidance of bronchoscopy. Computer Vision and Image Understanding 2007, 108:171-187.
18. 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.
19. Kalman R.E. A new approach to linear filtering and prediction problems. Transaction of the ASME: Journal of Basic Engineering 1960, 82(Series D):35-45.
20. Kindratenko V.V. A survey of electromagnetic position tracker calibration techniques. Virtual Reality 2000, 5(3).
21. Lowe D.G. Distinctive image features from scale-invariant keypoints. International Journal of Computer Vision 2004, 60(2):91-110.
22. Merritt, S.A., Rai, L., Higgins, W.E., 2006. Real-time CT-video registration for continuous endoscopic guidance. In: Proceedings of SPIE, vol. 6143. pp. 614313-1-614313-15.
23. Mikolajczyk K., Schmid C. A performance evaluation of local descriptors. IEEE Transactions on Pattern Analysis and Machine Intelligence 2005, 27(10):1615-1630.
24. Mori, K., Deguchi, D., Akiyama, K., Kitasaka, T., Maurer Jr., C.R., Suenaga, Y., Takabatake, H., Mori, M., Natori, H., 2005. Hybrid bronchoscope tracking using a magnetic tracking sensor and image registration. In: Proceedings of MICCAI 2005, vol. LNCS 3750. pp.543-550.
25. Mori K., Deguchi D., Sugiyama J., Suenaga Y., Toriwaki J., Maurer C.R., Takabatake H., Natori H. Tracking of a bronchoscope using epipolar geometry analysis and intensity based image registration of real and virtual endoscopic images. Medical Image Analysis 2002, 6:321-336.
26. Mori, K., Suenaga, Y., Toriwaki, J., 2003. Fast software-based volume rendering using multimedia instructions on PC platforms and its application to virtual endoscopy. In: Proceedings of SPIE, vol. 5031. pp. 111-122.
27. Wells M.W., Viola P., Atsumi H., Nakajima S., Kikinis R. Multi-modal volume registration by maximization of mutual information. Medical Image Analysis 1996, 1:35-61.
28. Nagao, J., Mori, K., Enjouji, T., Deguchi, D., Kitasaka, T., Suenaga, Y., Hasegawa, J., Toriwaki, J., Takabatake, H., Natori, H., 2004. Fast and accurate bronchoscope tracking using image registration and motion prediction. In: Proceedings of MICCAI, vol. 3217. pp. 551-558.
29. Penney G.P., Weese J., Little J.A., Desmedt P., Hill D.L.G., Hawkes D.J. A comparison of similarity measures for use in 2-D-3-D medical image registration. IEEE Transactions on Medical Imaging 1998, 17(4):175-185.
30. Peters T., Cleary K. Image-Guided Interventions: Technology and Applications 2008, Springer, Berlin.
31. Rai L., Helferty J.P., Higgins W.E. Combined video tracking and image-video registration for continuous bronchoscopic guidance. International Journal of Computer Assisted Radiology and Surgery 2008, 3(3-4):315-329.
32. Schneider, M., Stevens, C., 2007. Development and testing of a new magnetic-tracking device for image guidance. In: Proceedings of SPIE, vol. 6509. p. 65090I.
33. Schwarz Y., Greif J., Becker H.D., Ernst A., Mehta A. Real-time electromagnetic navigation bronchoscopy to peripheral lung lesions using overlaid CT images: the first human study. Chest 2006, 129(4):988-994.
34. Shinohara, R., Mori, K., Deguchi, D., Kitasaka, T., Suenaga, Y., Takabatake, H., Mori, M., Natori, H., 2006. Branch identification method for CT-guided bronchoscopy based on eigenspace image matching between real and virtual bronchoscopic images. In: Proceedings of SPIE, vol. 6143. pp. 614314-1-614314-12.
35. Solomon S.B., White P.J., Wiener C.M., Orens J.B., Wang K.P. Three-dimensional CT-guided bronchoscopy with a real-time electromagnetic position sensor: a comparison of two image registration methods. Chest 2000, 118(6):1783-1787.
36. Sugiura, T., Deguchi, D., Feuerstein, M., Kitasaka, T., Suenaga, Y., Mori, K., 2009. A method for accelerating bronchoscope tracking based on image registration by using GPU. In: Proceedings of SPIE, vol. 7261. pp. 726108-1-726108-12.
37. Viola P., Wells W.M. Alignment by maximization of mutual information. International Journal of Computer Vision 1997, 24(2):37-154.
38. Welch, G., 1996. SCAAT: Incremental Tracking with Incomplete Information. Ph.D. Thesis, University of North Carolina at Chapel Hill, USA.
39. Welch, G., Bishop, G., 2001. An introduction to the kalman filter. In: SIGGRAPH 2001, Course 8.
40. Wengert C., Reeff M., Cattin P.C., Szekely G. Fully automatic endoscope calibration for intraoperative use. Bildverarbeitung fur die Medizin 2006, vols. 19-21:419-423. Springer-Verlag.
41. Wu, C.C., 2007. SiftGPU: A GPU Implementation of Scale Invariant Feature Transform (SIFT). http://cs.unc.edu/ccwu/siftgpu.
42. Zhang Z. A flexible new technique for camera calibration. IEEE Transactions on Pattern Analysis and Machine Intelligence 2000, 22(11):1330-1334.