An adaptive fuzzy segmentation of intravascular ultrasound images

Esmeraldo Dos Santos Filho, Makoto Yoshizawa, Akira Tanaka, Yoshifumi Saijo, Takahiro Iwamoto, Tomoyuki Yambe, Shin Ichi Nitta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

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 pre-processed image. The preliminary results showed that this technique is a feasible method for finding calcified regions that can be explored by clas-sifiers.

Original languageEnglish
Title of host publication2004 2nd IEEE International Symposium on Biomedical Imaging
Subtitle of host publicationMacro to Nano
Pages1311-1314
Number of pages4
Publication statusPublished - 2004 Dec 1
Event2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano - Arlington, VA, United States
Duration: 2004 Apr 152004 Apr 18

Publication series

Name2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
Volume2

Other

Other2004 2nd IEEE International Symposium on Biomedical Imaging: Macro to Nano
CountryUnited States
CityArlington, VA
Period04/4/1504/4/18

ASJC Scopus subject areas

  • Engineering(all)

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