Moment-based texture segmentation of luminal contour in intravascular ultrasound images

Esmeraldo Dos Santos Filho, Makoto Yoshizawa, Akira Tanaka, Yoshifumi Saijo, Takahiro Iwamoto

Research output: Contribution to journalArticlepeer-review

8 Citations (Scopus)

Abstract

Purpose. A system for luminal contour segmentation in intravascular ultrasound images is proposed. Methods. Moment-based texture features are used for clustering of the pixels in the input image. After the clustering, morphological smoothing and a boundary detection process are applied and the final image is obtained. Results. The proposed method was applied to 15 images from different patients, and a correlation coefficient of 0.86 was obtained between the areas of lumen automatically and manually defined. Conclusion. Moment-based texture features together with the radial feature are powerful tools for identification of the lumen region in intravascular ultrasound images. Morphological filtering was useful for improving the segmentation results.

Original languageEnglish
Pages (from-to)91-99
Number of pages9
JournalJournal of Medical Ultrasonics
Volume32
Issue number3
DOIs
Publication statusPublished - 2005 Sep 1

Keywords

  • Image segmentation
  • Texture
  • Ultrasound

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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