Title :
Model-based multi-objective analysis of ultrasound image sequences in prenatal diagnosis
Author :
H.I. Bozma;E. Kemik
Author_Institution :
Dept. of Electr. & Electron. Eng., Bogazici Univ., Istanbul, Turkey
Abstract :
In this study, ultrasound image sequences of fetus head are examined for the bi-parietal diameter measurement. There are five parts of the fetus head that have to be seen clearly before such a measurement can be made. Our approach is based on model-based multi-objective analysis. For each part, an objective function encoding both data and anatomic constraints is formulated. The resulting multi-objective problem is then transformed into a problem of coupled differential equations and is then solved using numerical integration. Throughout the process, continuity principle is used between the frames so that the results of analysis on one frame can be used on the next frame-whenever possible.
Keywords :
"Image analysis","Image sequence analysis","Ultrasonic imaging","Image sequences","Fetus","Ultrasonic variables measurement","Head","Probes","Intelligent systems","Laboratories"
Conference_Titel :
Computer Vision and Pattern Recognition, 1997. Proceedings., 1997 IEEE Computer Society Conference on
Print_ISBN :
0-8186-7822-4
DOI :
10.1109/CVPR.1997.609441