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

Volume

3

fYear

1996

fDate

31 Oct-3 Nov 1996

Firstpage

1200

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/IEMBS.1996.652772

Filename

652772