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

Detection of luminal contour using fuzzy clustering and mathematical morphology in intravascular ultrasound images. Research Abstract Details 

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  • Detection of luminal contour using fuzzy clustering and mathematical morphology in intravascular ultrasound images. Abstract Text:

    esmeraldo dos santosEsmeraldo Dos Santos,makoto yoshizawaMakoto Yoshizawa,akira tanakaAkira Tanaka,yoshifumi saijoYoshifumi Saijo,takahiro iwamotoTakahiro Iwamoto,

    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.

    Detection of luminal contour using fuzzy clustering and mathematical morphology in intravascular ultrasound images. Publishing Authors By Initials

    e dos santosE Dos Santos,m yoshizawaM Yoshizawa,a tanakaA Tanaka,y saijoY Saijo,t iwamotoT Iwamoto,

    For similar abstracts research abstracts see: abstracts research

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    Detection of luminal contour using fuzzy clustering and mathematical morphology in intravascular ultrasound images. Journal Published:

    PUBLICATION TYPE: Journal Article

    Journal: Conference proceedings : ... Annual International

    VOLUME: 4

    Page Numbers: 3471-4

    Journal Abbreviation:

    ISSN: 1557-170X

    DAY: 6

    MONTH: 02

    YEAR: 2005

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

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    LANGUAGE: eng

    NlmUniqueID: 101243413

    Detection of luminal contour using fuzzy clustering and mathematical morphology in intravascular ultrasound images. Keywords Mesh Terms:

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    Grant and Affiliation Information for Detection of luminal contour using fuzzy clustering and mathematical morphology in intravascular ultrasound images.

    AFFILIATION: Graduate School of Engineering, Tohoku University, Aoba 6-6-05, Aoba-ku, Sendai 980-8579, Japan (esmeraldo@ieee.org).

    Country: United States

    United States Research PublicationUnited States Research Publication

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    MEDLINETA: Conf Proc IEEE Eng Med Biol So

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