Abstract
Virtual colonoscopy is a non-invasive method for diagnosing colon diseases such as diverticulosis and cancer using digitized tomographic images to produce 3D images of the colon. In virtual colonoscopy, it is crucial to generate the camera path rapidly and accurately for an efficient examination. Most of the existing path-generation methods are computationally expensive since they require preliminary data structures and the 3D positions of all path points should be calculated. In this paper, we propose an automated pathgeneration method that secures visibility by emulating ray propagation through the colon conduit. The proposed method does not require any preliminary data preprocessing steps, which takes several minutes and it also dramatically reduces the number of points needed to represent the camera path. The experimental result is a perceivable increase in computational efficiency and a simpler approach to colon navigation. The proposed method can also be used in other applications that require efficient virtual navigation.
Keywords
- Control Point
- Optimal Path
- Colon Wall
- Virtual Colonoscopy
- Virtual Camera
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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References
Dogramadzi, S., Allen, C.R., Bell, G.D.: Computer Controlled Colonoscopy. In: Proceedings of IEEE Instrumentation and Measurement Technology Conference, vol. 1, pp. 210–213 (1998)
Phee, S.J., Ng, W.S., Chen, I.M., Seow-Choen, F., Davies, B.L.: Automation of Colonoscopy. II. Visual control aspects. IEEE Engineering in Medicine and Biology Magazine 17(3), 81–88 (1998)
Hong, L., Kaufman, A., Wei, Y., Viswambharan, A., Wax, M., Liang, Z.: 3D Virtual Colonoscopy. In: Proceedings of IEEE Biomedical Visualization, pp. 26–32 (1995)
Lee, T.Y., Lin, P.H., Lin, C.H., Sun, Y.N., Lin, X.Z.: Interactive 3-D Virtual Colonoscopy System. IEEE Transactions on Information Technology in Biomedicine 3(2), 139–150 (1999)
Hong, L., Muraki, S., Kaufman, A.E., Bartz, D., He, T.: Virtual Voyage: Interactive Navigation in the Human Colon. In: Proceedings of ACM SIGGRAPH, pp. 27–34 (1997)
Rubin, G., Beaulieu, C., Argiro, V., Ringl, H., Norbash, A., Feller, J., Dake, M., Jeffey, R., Napel, S.: Perspective Volume Rendering of CT and MR Images: Applications for Endoscopic Imaging. Radiology 199(2), 321–330 (1996)
Pickhardt, P.J., Choi, J.R., Hwang, I., Butler, J.A., Puckett, M.L., Hildebrandt, H.A., Wong, R.K., Nugent, P.A., Mysliwiec, P.A., Schindler, W.R.: Computed Tomographic Virtual Colonoscopy to Screen for Colorectal Neoplasia in Asymptomatic Adults. The New England Journal of Medicine 349, 2191–2200 (2003)
Vining, D., Gelfand, D., Bechtold, R., Scharling, E., Grishaw, E., Shifrin, R.: Technical Feasibility of Colon Imaging with Helical CT and Virtual Reality. In: Annual Meeting of American Roentgen Ray Society, pp. 104 (1994)
Paik, D.S., Beaulieu, C.F., Jeffery, R.B., Rubin, G.D., Napel, S.: Automated Flight Path Planning for Virtual Endoscopy. Medical Physics 25(5), 629–637 (1998)
Dijkstra, E.W.: A Note on Two Problems in Connexion with Graphs. Numerishe Mathemetik 1, 269–271 (1959)
He, T., Hong, L.: Reliable Navigation for Virtual Endoscopy. IEEE Nuclear Science Symposium 3, 1339–1343 (1999)
Zhou, Y., Kaufman, A.E., Toga, A.W.: Three-dimensional Skeleton and Centerline Generation Based on an Approximate Minimum Distance Field. The Visual Computer 14, 303–314 (1998)
Bitter, I., Kaufman, A.E., Sato, M.: Penalized-distance Volumetric Skeleton Algorithm. IEEE Transactions on Visualization and Computer Graphics 7(3), 195–206 (2001)
Levoy, M.: Efficient Ray Tracing of Volume Data. ACM Transactions on Graphics 9(3), 245–261 (1990)
Dehmeshki, J., Amin, H., Wong, W., Dehkordi, M.E., Kamangari, N., Roddie, M., Costelo, J.: Automatic Polyp Detection of Colon using High Resolution CT Scans. In: Proceedings of the 3rd International Symposium on Image and Signal Processing and Analysis, vol. 1, pp. 577–581 (2003)
Bartels, R.H., Beatty, J.C., Barsky, B.A.: An Introduction to Splines for Use in Computer Graphics and Geometric Modelling, pp. 9–17. Morgan Kaufmann, San Francisco (1998)
Bitter, I., Sato, M., Bender, M., McDonnel, K., Kaufman, A., Wan, M.: CEASAR: A Smooth, Accurate and Robust Centerline Extraction Algorithm. Proceedings IEEE Visualization, 45–52 (2000)
Wan, M., Dachille, F., Kaufman, A.: Distance-field Based Skeletons for Virtual Navigation. Proceedings of IEEE Visualization, 239–246 (2001)
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© 2005 Springer-Verlag Berlin Heidelberg
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Lee, J., Hong, H., Shin, Y.G., Kim, SH. (2005). An Efficient Path-Generation Method for Virtual Colonoscopy. In: Sanfeliu, A., Cortés, M.L. (eds) Progress in Pattern Recognition, Image Analysis and Applications. CIARP 2005. Lecture Notes in Computer Science, vol 3773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11578079_36
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DOI: https://doi.org/10.1007/11578079_36
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29850-2
Online ISBN: 978-3-540-32242-9
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