Computerized quantification of structures within ovarian cysts using ultrasound images

Yair Zimmer, Ron Tepper, Solange Akselrod*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


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
Issue number2
StatePublished - Feb 1999
Externally publishedYes


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


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