7.4 Conclusions
Image segmentation is an important component of any image analysis system. In medical imaging, it is essential that an image is accurately segmented so that different measurements about the region are accurately determined. In this paper, the idea of using a computer-aided design system to effectively revise the result of an automatically determined segmentation was introduced. In the proposed system, a RaG surface is fitted to voxels representing a 3D region by the least-squares method. The surface and the original volumetric image are then overlaid and the surface is interactively revised until the desired segmentation is achieved.
The system provides the option of using the output of an automatically obtained segmentation as the input or manually creating an initial segmentation by selecting a number of 3D points in the given image volume. In the latter case, an initial surface is created from the points and overlaid with the image. The user can then observe the image data and revise the surface to a desired shape. Because a region of interest is represented by a parametric surface, the surface may be sent to a computer-aided manufacturing system for construction of an actual 3D model of the region.
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Bibliography
Barrett, W. and Mortensen, E., Fast, accurate, and reproducible live-wire boundary extraction, In: Proc. Visualization in Biomedical Computing, Hamburg, 1996.
Brechbühler, Ch., Gerig, G., and Kübler, O., Surface parametrization and shape description, In: SPIE Workshop on Visualization in Biomedical Computing, Vol. 1808, pp. 80–89, 1992.
Brechbühler, Ch., Gerig, G., and Kübler, O., Parametrization of closed surfaces for 3D shape description, Computer Vision and Image Understanding, Vol. 61, No. 2, pp. 154–170, 1995.
Cabral, Jr., J. E., White, K. S., Kim, Y., and Effmann, E. L., Interactive segmentation of brain tumors in MR images using 3D region growing, SPIE Medical Imaging Conference, Vol. 1989, pp. 171–179, 1993.
Cagnoni, S., Dobrzeniecki, A. B., Ploi, R., and Yanch, J. C., Genetic algorithm-based interactive segmentation of 3D medical images, Image and Vision Computing, Vol. 17, pp. 881–895, 1999.
Canny, J., A Computational Approach to Edge Detection, IEEE Trans. Pattern Analysis and Machine Intelligence, Vol. 8, No. 6, pp. 679–698, 1986.
Falcão, A. X. and Udupa, J. K, A 3D generalization of user-steered live-wire segmentation, Medical Image Analysis, Vol. 4, pp. 389–402, 2000.
Falcão, A. X., Udupa, J. K., Samarasekera, S., Sharma, S., Hirsch, B.E., and Lotufo, R. A., User-steered image segmentation paradigms: livewire and live-lane, Graphical Models and Image Processing, Vol. 60, No. 4, pp. 233–260, 1998.
Falcão, A. X., Udupa, J. K., and Miyazawa, F. K., An ultra-fast user-steered image segmentation paradigm: live-wire-on-the-fly, In: SPIE Medical Imaging Conference, San Diego, CA, Vol. 3661, pp. 184–191, 1999.
Galvez, J. M. and Canton, M., Normalization and shape recognition of three-dimensional objects by 3D moments, Pattern Recognition, Vol. 26, No. 5, pp. 667–682, 1993.
Goshtasby, A., Design and recovery of 2D and 3D shapes using rational Gaussian curves and surfaces, International Journal of Computer Vision, Vol. 10, No. 3, pp. 233–256, 1993.
Goshtasby, A., Geometric modeling using rational Gaussian curves and surfaces, Computer-Aided Design, pp. 363–375, May 1995.
Goshtasby, A., Parametric circles and spheres, Computer-Aided Design, Vol. 35, May 2003, pp. 487–494.
Hinshaw, K. P. and Brinkley, J. F., Shape-based interactive three-dimensional medical image segmentation, SPIE Medical Imaging Conference, Vol. 3034, pp. 236–242, 1997.
Höhne, K. H. and Hanson, W. A., Interactive 3D segmentation of MRI and CT volumes using morphological operations, Journal of Computer Assisted Tomography, Vol. 16, No. 2, pp. 258–294, 1992.
Hoschek, J. and Lasser, D. Computer Aided Geometric Design, A. K. Peters, pp. 289–291, 1989.
Jackowski, M., Satter, M., and Goshtasby, A., Approximating digital 3D shapes by rational Gaussian surfaces, IEEE Trans. Visualization and Computer Graphics, Vol. 9, No. 1, Jan–March 2003, pp. 56–69.
Kass, A., Witkin, A., and Terzopoulos, D., Snakes: Active contour models, International Journal of Computer Vision, Vol. 1, pp. 321–331, 1987.
Krivanek, A. and Sonka, M., Ovarian ultrasound image analysis: Follicle segmentation, IEEE Trans. Medical Imaging, Vol. 17, No. 6, pp. 935–944, 1998.
McInerney, T. and Terzopoulos, D., A dynamic finite element surface model for segmentation and tracking in multidimensional medical images with application to cardiac 4D image analysis, Computerized Medical Imaging and Graphics, Vol. 19, No. 1, pp. 69–83, 1995.
Mortensen, E. N. and Barrett, W. A., Interactive segmentation with intelligent scissors, Graphical Models and Image Processing, Vol. 60, No. 5, pp. 349–384, 1998.
Mortensen, E. N., Morse, B. S., Barrett, W. A., and Udupa, J. K., Adaptive boundary detection using live-wire two-dimensional dynamic programming, In: IEEE Proc. Computer in Cardiology, pp. 635–638, 1992.
Olabarriaga, S. D. and Smeulders, A. W. M., Interaction in the segmentation of medical images: A survey, Medical Image Analyis, Vol. 5, pp. 127–142, 2001.
Pizer, S. M., Cullip, T. J., and Fredericksen, R. E., Toward interactive object definition in 3D scalar images. In: 3D Imaging in Medicine, K. H. Höhne et al., eds., Springer, Berlin: pp. 83–105, 1990.
Staib, L. H. and Duncan, J. D., Model-based deformable surface finding for medical images, IEEE Trans. Medical Imaging, Vol. 15, No. 5, pp. 720–731, 1996.
Udupa, J. K., Samarasekera, S., and Berrett, W. A., Boundary detection via dynamic programming, Proc. SPIE, Vol. 1808, pp. 33–39, 1992.
Welte, D., Grunert, T., Klose, U., Petersen, D., and Becker, E., Interactive 3D segmentation and visualization of vessels, Proceedings of Computer Assisted Radiology, pp. 329–335, 1996.
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Jackowski, M., Goshtasby, A. (2005). A Computer-Aided Design System for Segmentation of Volumetric Images. In: Suri, J.S., Wilson, D.L., Laxminarayan, S. (eds) Handbook of Biomedical Image Analysis. Topics in Biomedical Engineering International Book Series. Springer, Boston, MA. https://doi.org/10.1007/0-306-48608-3_7
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