Title :
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
fDate :
6/27/1905 12:00:00 AM
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;
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
DOI :
10.1109/IEMBS.2005.1617226
