A novel region growing method for segmenting ultrasound images

Xiaohui Hao, Charles Bruce, Cristina Pislaru, James F. Greenleaf

Research output: Contribution to journalConference articlepeer-review

52 Scopus citations


A new region growing method for ultrasound image segmentation is presented in this paper. Here, region growing is performed in a multi-feature vector space. Three novel criteria are developed for region growing control. First, instead of using the local information as do the conventional region growing methods, this method uses global information. Second, to overcome the effects of speckle noise and attenuation artifacts, a new idea termed, "geographic similarity", is introduced. Third, an equal opportunity competence criterion is employed to make results independent of processing order. Segmentation results for in vivo intracardiac ultrasound images and the corresponding statistical analyses show that this method is reliable and effective.

Original languageEnglish (US)
Pages (from-to)1717-1720
Number of pages4
JournalProceedings of the IEEE Ultrasonics Symposium
StatePublished - Dec 1 2000
Event2000 IEEE Ultrasonics Symposium - San Juan, Puerto Rico
Duration: Oct 22 2000Oct 25 2000

ASJC Scopus subject areas

  • Acoustics and Ultrasonics


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