Title :
Template deformation by maximizing mutual information
Author :
Skouson, Mark B. ; Liang, Zhi-Pei
Author_Institution :
Dept. of Electr. & Comput. Eng., Illinois Univ., Urbana, IL, USA
Abstract :
This paper addresses the problem of fluidic template matching with application to image segmentation. The authors extend the technique by Miller et al. [see G.E. Christensen et al., IEEE Trans. Image Processing, vol. 5, p. 1435-47, 1996] to handle images with arbitrary contrast differences by using mutual information as the similarity metric
Keywords :
image matching; image segmentation; medical image processing; modelling; arbitrary contrast differences; fluidic template matching; medical diagnostic imaging; mutual information maximization; template deformation; Application software; Convergence; Deformable models; Equations; Image analysis; Image segmentation; Kinematics; Magnetic resonance; Mutual information; Viscosity;
Conference_Titel :
[Engineering in Medicine and Biology, 1999. 21st Annual Conference and the 1999 Annual Fall Meetring of the Biomedical Engineering Society] BMES/EMBS Conference, 1999. Proceedings of the First Joint
Conference_Location :
Atlanta, GA
Print_ISBN :
0-7803-5674-8
DOI :
10.1109/IEMBS.1999.804328
