Abstract
The identification of pulmonary air bubbles plays a significant role for medical diagnosis of pulmonary pathologies. A method to segment these abnormal pulmonary regions on volumetric data, using a model deforming towards the objects of interest, is presented. We propose a variant to the well known level-set method that keeps the level-set function moving along desired directions, with an improved stopping function that proved to be successful, even for large time steps. A region seeking approach is used instead of the traditional edge seeking. Our method is stable, robust, and automatically handles changes in surface topology during the deformation. Experimental results, for 2D and 3D high resolution computed tomography images, demonstrate its performance.
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
Brink, J., et al.: Helical CT: Principles and Technical Considerations. RadioGraphics 14, 887–893 (1994)
Wang, G., Cheng, P.C., Vannier, M.W.: Spiral CT: Current Status and Future Directions. In: Proc. SPIE 1997, vol. 3149, pp. 203–212 (1997)
Morgan, M.D.L., Edwards, C.W., Morris, J., Mattews, H.R.: Origin and behaviour of emphysematous bullae. Thorax 44, 533–538 (1989)
Reid, L.: The pathology of emphysema. Lloyd Luke, London (1967)
Silva, J.S., Silva, A., Santos, B.S., Madeira, J.: Detection and 3D representation of pulmonary air bubbles in HRCT volumes. SPIE Medical Imaging 2003: Physiology and Function: Methods, Systems, and Applications 5031, 430–439 (2003)
Kass, M., Witkin, A., Terzopoulos, D.: Snakes: Active Contour Models. International Journal of Computer Vision 1, 321–331 (1988)
Blake, A., Isard, M.: Active Contours. Springer, London (1998)
Montagnat, J., Delingette, H., Ayache, N.: A Review of Deformable Surfaces: Topology, Geometry and Deformation. Image and Vision Computing 19, 1023–1040 (2001)
McInerney, T., Terzopoulos, D.: Deformable Models in Medical Image Analysis: A Survey. Medical Image Analysis 1, 91–108 (1996)
Osher, S., Sethian, J.A.: Fronts Propagation with Curvature Dependent Speed: Algorithms Based on Hamilton-Jacobi Formulations. Journal of Computational Physics 79, 12–49 (1988)
Malladi, R., Sethian, J.A., Vemuri, B.C.: Shape Modeling with Front Propagation: A Level Set Approach. IEEE Transactions on Pattern Analysis and Machine Intelligence 17, 158–175 (1995)
Caselles, V., Kimmel, R., Sapiro, G.: Geodesic Active Contours. International Journal of Computer Vision 22, 61–79 (1997)
Suri, J.S., Liu, K., Singh, S., Laxminarayan, S.N., Zeng, X., Reden, L.: Shape Recovery Algorithms Using Level Sets in 2D/3D Medical Imagery: A State of the Art Review. IEEE Transactions on Information Technology in Biomedicine 6, 8–28 (2002)
Kawata, Y., Niki, N., Ohmatsu, H., Kakinuma, R., Eguchi, K., Kaneko, R., Moriyama, N.: Quantitative surface characterization of pulmonary nodules based on thin-section CT images. IEEE Transactions on Nuclear Science 45, 1218–1222 (1998)
Kovacevic, D., Loncaric, S., Sorantin, E.: Deformable Contour Based Method for Medical Image Segmentation. In: 21st International Conference on Information Technology Interfaces ITI 1999 (1999)
Wang, H., Ghosh, B.: Geometric Active Deformable Models in Shape Modeling. IEEE Transactions on Image Processing 9, 302–308 (2000)
Hofer, M.: CT Teaching Manual. Georg Thieme Verlag, Stuttgart (Germany) (2000)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2004 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Silva, J.S., Santos, B.S., Silva, A., Madeira, J. (2004). A Level-Set Based Volumetric CT Segmentation Technique: A Case Study with Pulmonary Air Bubbles. In: Campilho, A., Kamel, M. (eds) Image Analysis and Recognition. ICIAR 2004. Lecture Notes in Computer Science, vol 3212. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30126-4_9
Download citation
DOI: https://doi.org/10.1007/978-3-540-30126-4_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23240-7
Online ISBN: 978-3-540-30126-4
eBook Packages: Springer Book Archive