Segmentation of medical images using an active-contour model incorporating region-based image features

An improved segmentation algorithm based on the active contour model is developed. A distinguishing element of our algorithm is the incorporation of region-based image features which improves signifcantly the reliability of the algorithm, and allows multi- region segmentation of an image. We use simulated annealing in the energy minimization in order to locate the globally optimal solution and enhance flexibility in the construction of energy functional.

[1]  Pascal Fua,et al.  Combining stereo, shading, and geometric constraints for surface reconstruction from multiple views , 1993, Optics & Photonics.

[2]  U Tiede,et al.  3-D segmentation of MR images of the head for 3-D display. , 1990, IEEE transactions on medical imaging.

[3]  T Poggio,et al.  Parallel integration of vision modules. , 1988, Science.

[4]  Fred Greensite,et al.  Tissue identification in MR images by adaptive cluster analysis , 1991, Medical Imaging.

[5]  Mubarak Shah,et al.  A Fast algorithm for active contours and curvature estimation , 1992, CVGIP Image Underst..

[6]  C. S. Poon,et al.  Practical T2 quantitation for clinical applications , 1992, Journal of magnetic resonance imaging : JMRI.

[7]  Kai Hwang,et al.  Cooperative Vision Integration Through Data-Parallel Neural Computations , 1991, IEEE Trans. Computers.

[8]  Laurent D. Cohen,et al.  On active contour models and balloons , 1991, CVGIP Image Underst..

[9]  David R. Haynor,et al.  Multivariate Tissue Classification of MRI Images for 3-D Volume Reconstruction - A Statistical Approach , 1989, Medical Imaging.

[10]  Yi Liu,et al.  Integration of stereo vision and optical flow by using an energy-minimization approach , 1989 .

[11]  Ramesh C. Jain,et al.  Using Dynamic Programming for Solving Variational Problems in Vision , 1990, IEEE Trans. Pattern Anal. Mach. Intell..

[12]  D.J. Anderson,et al.  Optimal Estimation of Contour Properties by Cross-Validated Regularization , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[13]  C. D. Gelatt,et al.  Optimization by Simulated Annealing , 1983, Science.

[14]  Alan L. Yuille,et al.  Determining The Optimal Weights In Multiple Objective Function Optimization , 1988, [1988 Proceedings] Second International Conference on Computer Vision.