Abstract
Automatic image segmentation methods often involve errors, requiring the assistance of the user to correct them. In this paper, a computer-aided design system is introduced for correcting such errors. The proposed system approximates each 3-D region by a parametric surface. Region voxels are first parametrized spherically using a coarse-to-fine subdivision method. By using the voxel positions and their parameter coordinates, control points of a rational Gaussian surface are determined through a least-squares method to approximate the region. Finally, this surface is overlaid with the volumetric image and by locally pulling or pushing it with the mouse while viewing image information, the surface is revised as needed. Typically, a few minutes are sufficient to correct errors in a region.
Chapter PDF
Similar content being viewed by others
Keywords
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.
References
Barrett, W., Mortensen, E.: Fast, accurate, and reproducible live-wire boundary extraction. In: Proc. Visualization in Biomedical Computing (1996)
Cagnoni, S., Dobrzeniecki, A.B., Ploi, R., Yanch, J.C.: Genetic algorithm-based interactive segmentation of 3-d medical images. Image and Vision Computing 17, 881–895 (1999)
Canny, J.: A computational approach to edge detection. IEEE Trans. Pattern Analysis and Machine Intelligence 8(6), 679–698 (1986)
Falcão, A.X., Bergo, F.P.G.: Interactive volume segmentation with differential image foresting transforms. IEEE Trans. Medical Imaging 23(9), 1100–1108 (2004)
Falcão, A.X., Udupa, J.K.: A 3-d generalization of user-steered live-wire segmentation. Medical Image Analysis 4, 389–402 (2000)
Falcão, A.X., Udupa, J.K., Samarasekera, S., Sharma, S., Hirsch, B.E., Lotufo, R.A.: User-steered image segmentation paradigms: live-wire and live-lane. Graphical Models and Image Processing 60(4), 233–260 (1998)
Goshtasby, A.: Design and recovery of 2-d and 3-d shapes using rational gaussian curves and surfaces. Intl. Journal of Computer Vision 10(3), 233–256 (1993)
Jackowski, M., Satter, M., Goshtasby, A.: Approximating digital 3-d shapes by rational gaussian surfaces. IEEE Trans. Visualization and Computer Graphics 9(1), 56–69 (2003)
Kass, A., Witkin, A., Terzopoulos, D.: Snakes: Active contour models. Intl. Journal of Computer Vision 1, 321–331 (1987)
Mortensen, E.N., Morse, B.S., Barrett, W.A., Udupa, J.K.: Adaptive boundary detection using live-wire two-dimensional dynamic programming. IEEE Proc. Computers in Cardiology, 635–638 (1992)
Olabarriaga, S.D., Smeulders, A.W.M.: Interaction in the segmentation of medical images: A survey. Medical Image Analysis 5, 127–142 (2001)
Yoo, T.S., Ackerman, M.J., Lorensen, W.E., Schroeder, W., Chalana, V., Aylward, S., Metaxes, D., Whitaker, R.: Engineering and Algorithm Design for an Image Processing API: A Technical Report on ITK - The Insight Toolkit. In: Proc. of Medicine Meets Virtual Reality, pp. 586–592 (2002)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2005 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Jackowski, M., Goshtasby, A. (2005). A Computer-Aided Design System for Revision of Segmentation Errors. In: Duncan, J.S., Gerig, G. (eds) Medical Image Computing and Computer-Assisted Intervention – MICCAI 2005. MICCAI 2005. Lecture Notes in Computer Science, vol 3750. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11566489_88
Download citation
DOI: https://doi.org/10.1007/11566489_88
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-29326-2
Online ISBN: 978-3-540-32095-1
eBook Packages: Computer ScienceComputer Science (R0)