Abstract
Virtual Colonoscopy is an innovative method to discover colon neoplasias created in order to alleviate patients aches generated by the standard colonoscopy. For the same reason, we have realized an automatic process finalized to find polyps into the lumen through the extraction of colon centerline and the calculation of polyps distance from anus. This paper contains the description of what is implemented. In particular, the developed algorithms build up following steps: colon lumen segmentation starting from a dataset of axial CT slices, 3D rendering, centerline extraction and evaluation of polyps distance from anus.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Greenlee, R.T., Murray, T.S., Bolden, P.A.W.: Cancer Statistics. Ca. Cancer J. Clin. 50, 7–33 (2000)
Pickhardt, P.J., Choi, J.R., Wang, I.H., Butler, J.A., Puckett, M.L., Hildebrandt, H.A., Wong, R.K., et al.: Computed Tomographic Virtual Colonoscopy to Screen for Colorectal Neoplasia in Asymptomatic Adults. The New England Journal of Medicine 349(23), 2191–2200 (2003)
Hong, L., Kaufman, A., Wei, Y.C., et al.: 3-D virtual Colonoscopy. In: Loew, M., Gershon, N. (eds.) Proc. Biomedical Visualization, Altanta, GA, pp. 26–33 (1995)
McFarland, E., Brink, J., Loh, J.: Visualization of Colorectal Polyps with Spiral CT Colography: Evaluation of Processing Parameters with Perspective Volume Rendering. Radiology 205, 701–707 (1997)
Vining, D.J., Gelfand, D., Bechtold, R., et al.: Technical Feasibility of Colon Imaging with Helical CT and Virtual Reality. Ann. Meeting Amer. Roentgen Ray. Soc., 104 (1994)
Lakare, S., Chen, D., Li, L., et al.: Electronic Colon Cleansing Using Segmentation Rays for Virtual Colonoscopy. Medical Imaging (2002)
Socha, S.M., Zieliftski, T., Duplaga, M.: Colon Cleansing for Virtual Colonoscopy Using Non-linear Transfer Function and Morphological Operations. In: IEEE International Workshop on Imaging Systems and Techniques - IST (2007)
Tu, Z., Ss, X., Zhou, D., et al.: A Learning Based Approach for 3D Segmentation and Colon Detagging
Wang, Z., Liang, Z., Li, X., et al.: An Improved Electronic Colon Cleansing Method for Detection of Colonic Polyps by Virtual Colonoscopy. IEEE Transactions on Biomedical Engineering 53(8) (2006)
Serlie, I., Truyen, R., Florie, J., et al.: Computed Cleansing for Virtual Colonoscopy Using a Three-Material Transition Model
Perona, P., Malik, J.: Scale-space and Edge Detection using Anisotropic Diffusion. IEEE Transactions on Pattern Analysis Machine Intelligence 12, 629–639 (1990)
Canny, J.: A Computational Approach To Edge Detection. IEEE Trans. Pattern Analysis and Machine Intelligence 8, 679–714 (1986)
Blum, H.: A Transformation for Extracting New Parameter of Shape. In: Models for the Perception of Speech and Visual Form. MIT Press, Cambridge (1967)
Bitter, I., Kaufman, A.E., Sato, M.: Penalized-Distance Volumetric Skeleton Algorithm. IEEE Transactions on Visualization and Computer Graphics 7(3) (2001)
Chen, D., Li, B., Liang, Z.: A Tree-branch Searching, Multi-resolution Approach to Skeletonization for Virtual Endoscopy. In: SPIE Medical Imaging 2000 (Feburary 2000)
Iordanescu, G., Summers, R.M.: Automated Centerline for Computed Tomography Colonography. Academic Radiology 10(11), 1291–1301 (2003)
Sadleir, R.J.T., Whelan, P.F.: Fast Colon Centreline Calculation using Optimised 3D Topological Thinning Computerized Medical Imaging and Graphics 29(251–258) (2005)
Bouix, S., Siddiqi, K., Tannenbaum, A.: Flux Driven Automatic Centerline Extraction. Medical Image Analysis 9(3), 209–221 (2005)
Sethian, J.A.: Level Set Methods and Fast Marching Methods. Cambridge University Press, Cambridge (1996)
Deschamps, T., Cohenb, L.D.: Fast Extraction of Minimal Paths in 3D Images and Applications to Virtual Endoscopy. Medical Image Analysis 1 (2001)
Dijkstra, E.W.: A Note on Two Problem in Connexion with Graphs. Numerische Mathematik 1, 269–271 (1959)
Frimmel, H., Nappi, J., Yoshida, H.: Centerline-based Colon Segmentation in CTColonography. Medical Physics 32(8) (August 2005)
Chen, D., Hassouna, M.S., Farag, A.A., Falk, R.: An Improved 2d Colonic Polyp Segmentation Framework Based on Gradient Vector Flow Deformable Model (2006)
Janne, N., Dachman, A.H.: MacEneaney, Peter; Yoshida, Hiroyuki, Automated Knowledge-Guided Segmentation of Colonic Walls for Computerized Detection of Polyps in CT Colonography (2002)
Masutani, Y., Yoshida, H., MacEneaney, P.M., Dachman, A.H.: Automated Segmentation of Colonic Walls for Computerized Detection of Polyps in CT Colonography (2001)
Wyatt, C.L., Ge, Y., Vining, D.J.: Segmentation in Virtual Colonoscopy using a Geometric Deformable Model (2006)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Bevilacqua, V., Notarnicola, M., Cortellino, M., Scarpa, A., Taurino, D., Mastronardi, G. (2009). Relevant Measurements for Polyps in 3D Virtual Colonoscopy. In: Huang, DS., Jo, KH., Lee, HH., Kang, HJ., Bevilacqua, V. (eds) Emerging Intelligent Computing Technology and Applications. ICIC 2009. Lecture Notes in Computer Science, vol 5754. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04070-2_104
Download citation
DOI: https://doi.org/10.1007/978-3-642-04070-2_104
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-04069-6
Online ISBN: 978-3-642-04070-2
eBook Packages: Computer ScienceComputer Science (R0)