Computerized quantification of structures within ovarian cysts using ultrasound images

Yair Zimmer, Ron Tepper, Solange Akselrod

Research output: Contribution to journalArticlepeer-review

Abstract

Ovarian cysts are a common type of ovarian mass. The morphology of cysts, as it appears in ultrasound images, is currently used for classification of ovarian pathologies. However, this classification process is based on human interpretation of the sonographic image. In this article, a semiautomatic algorithm for the quantification of ovarian cysts is presented. This algorithm categorizes the structures within a cyst and extracts their quantitative geometric properties (width, characteristic diameter). To assess the validity of the technique, its performance was compared to human classification and manual measurements made by an expert. The results show a good match between automatic evaluations made by a computer and those of an experienced observer, indicating a potential for clinical use.

Original languageEnglish
Pages (from-to)189-200
Number of pages12
JournalUltrasound in Medicine and Biology
Volume25
Issue number2
DOIs
StatePublished - Feb 1999
Externally publishedYes

Keywords

  • Convex deficiency
  • Convex hull
  • Image processing
  • Mathematical morphology
  • Ovarian cyst
  • Papillation
  • Septation
  • Ultrasound

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