Title :
Knowledge-based medical image registration
Author :
Wen, Hui-Hua ; Lin, Wei-Chung ; Chen, Chin-Tu
Author_Institution :
Dept. of Electr. & Comput. Eng., Northwestern Univ., Evanston, IL, USA
fDate :
31 Oct-3 Nov 1996
Abstract :
Describes a new framework for surface-based medical image registration. By implementing a fuzzy logic system, this method allows the incorporation of human expert knowledge to evaluate the confidence level of two matching points using their multiple local image properties such as gradient direction and curvature. The proposed technique can be applied to both intra- and inter-subject medical image registration. It can also relax the performance requirement on the contour extraction process
Keywords :
fuzzy logic; image registration; medical expert systems; medical image processing; confidence level evaluation; contour extraction process; curvature; fuzzy logic system; gradient direction; human expert knowledge incorporation; intersubject medical image registration; intrasubject medical image registration; knowledge-based medical image registration; medical diagnostic imaging; multiple local image properties; performance requirement relaxation; two matching points; Biomedical engineering; Biomedical imaging; Cost function; Fuzzy logic; Humans; Image registration; Integrated circuit modeling; Medical services; Radiology; Surface fitting;
Conference_Titel :
Engineering in Medicine and Biology Society, 1996. Bridging Disciplines for Biomedicine. Proceedings of the 18th Annual International Conference of the IEEE
Conference_Location :
Amsterdam
Print_ISBN :
0-7803-3811-1
DOI :
10.1109/IEMBS.1996.652772
