Detection of luminal contour using fuzzy clustering and mathematical morphology in intravascular ultrasound images

被引：0
|
作者：
Dos Santos Filho, Esmeraldo [1 ]
Yoshizawa, Makoto [1 ]
Tanaka, Akira [1 ]
Saijo, Yoshifumi [1 ]
Iwamoto, Takahiro [1 ]
机构：
[1] Tohoku Univ, Grad Sch Engn, Aoba Ku, Sendai, Miyagi 9808579, Japan
来源：
2005 27TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY, VOLS 1-7 | 2005年
关键词：
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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.
引用
收藏
页码：3471 / 3474
页数：4
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