Detection of Luminal Contour Using Fuzzy Clustering and Mathematical Morphology in Intravascular Ultrasound Images

Author

dos Santos Filho, E. ; Yoshizawa, Makoto ; Tanaka, Akira ; Saijo, Yoshifumi ; Iwamoto, Takahiro

Author_Institution

Graduate Sch. of Eng., Tohoku Univ., Sendai

fYear

2005

fDate

6/27/1905 12:00:00 AM

Firstpage

3471

Lastpage

3474

Abstract

An innovative application of fuzzy clustering and mathematical morphology for the problem of luminal contour detection in intravascular ultrasound images is presented. Median and standard deviation are used as features for segmentation process. Comparison was made with gold standard segmented images obtained from the average of images segmented by experienced medical doctors. Tests were carried out with 20 in vivo coronary images obtained from different patients. High correlation coefficients were found between lumen regions manually and automatically defined when area, mean gray level, and standard deviation of the lumen regions were compared

Keywords

biomedical ultrasonics; cardiovascular system; feature extraction; fuzzy set theory; image segmentation; mathematical morphology; medical image processing; pattern clustering; feature segmentation; fuzzy clustering; in vivo coronary images; intravascular ultrasound images; luminal contour detection; mathematical morphology; median deviation; standard deviation; Arteries; Atherosclerosis; Biomedical engineering; Biomedical imaging; Fuzzy systems; Image segmentation; Morphology; Phased arrays; USA Councils; Ultrasonic imaging;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 2005. IEEE-EMBS 2005. 27th Annual International Conference of the

Conference_Location

Shanghai

Print_ISBN

0-7803-8741-4

Type

conf

DOI

10.1109/IEMBS.2005.1617226

Filename

1617226