Follicle recognition in ultrasonic images using the cellular automata

Author

Viher, B. ; Dobnikar, A. ; Zazula, D.

Author_Institution

Fac. of Electr. Eng. & Comput. Sci., Maribor Univ., Slovenia

fYear

1997

fDate

11-13 Jun 1997

Firstpage

34

Lastpage

39

Abstract

We developed a cellular automaton that is able to extract the information about the position of follicles in the ultrasonic image. Follicles are small protective sacs containing ova in the cortex of women´s ovaries, and their ultrasound monitoring is very important in diagnosing and treatment of infertility. The original ultrasonic images were reduced in size and number of colours and then used as the initial state of our cellular automaton. Following the fundamental natural principle of attacking/defending, the transition rule has been developed. The results are quite encouraging and provide a good starting point for further enhancement and development

Keywords

biomedical ultrasonics; cellular automata; medical diagnostic computing; medical image processing; cellular automata; cortex; follicle recognition; ova; ultrasonic image; ultrasonic images; ultrasound monitoring; women´s ovaries; Automata; Computer science; Data mining; Humans; Image recognition; Information science; Lattices; Monitoring; Protection; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer-Based Medical Systems., 1997. Proceedings., Tenth IEEE Symposium on

Conference_Location

Maribor

ISSN

1063-7125

Print_ISBN

0-8186-7928-X

Type

conf

DOI

10.1109/CBMS.1997.596405

Filename

596405