DocumentCode :
2636982
Title :
An adaptive fuzzy segmentation of intravascular ultrasound images
Author :
Filho, Esmeraldo Dos Santos ; Yoshizawa, Makoto ; Tanaka, Akira ; Saijo, Yoshifumi ; Iwamoto, Takahiro ; Yambe, Tomoyuki ; Nitta, Shin-ichi
Author_Institution :
Graduate Sch. of Eng., Tohoku Univ., Sendai, Japan
fYear :
2004
fDate :
15-18 April 2004
Firstpage :
1311
Abstract :
A system for automatic definition of region of interest (ROI) in intravascular ultrasound images is proposed. This system performs this task in two phases: first a preprocessing based on morphological smoothing and fuzzy enhancement is done and then a fuzzy clustering algorithm is applied to the preprocessed image. The preliminary results showed that this technique is a feasible method for finding calcified regions that can be explored by classifiers.
Keywords :
biomedical ultrasonics; blood vessels; fuzzy systems; image segmentation; medical image processing; ROI; adaptive fuzzy segmentation; automatic definition; fuzzy clustering algorithm; fuzzy enhancement; intravascular ultrasound images; morphological smoothing; preprocessed image; region of interest; Angiography; Arteries; Arteriosclerosis; Biomedical imaging; Fuzzy systems; Image segmentation; Medical diagnostic imaging; Pathology; Smoothing methods; Ultrasonic imaging;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on
Print_ISBN :
0-7803-8388-5
Type :
conf
DOI :
10.1109/ISBI.2004.1398787
Filename :
1398787
Link To Document :
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