Interactive morphological watershed analysis for 3D medical images

William E. Higgins, Eric J. Ojard

Research output: Contribution to journalArticlepeer-review

52 Scopus citations

Abstract

Combining automatic processing with interactive techniques is proving to be an effective strategy for segmenting complex three-dimensional (3D) medical images. We describe a general 3D image segmentation strategy that draws upon morphological watershed analysis and operator-defined topological cues. Watershed analysis segments a gray scale image into different regions by interpreting the image as a topographic surface. Using readily available interactive techniques, a human operator can easily define cues that specify spatial relationships between regions of interest. Cues defined in such a manner greatly assist subsequent watershed analysis. Results using 3D cardiac images show that this method leads to rapid robust image segmentation.

Original languageEnglish (US)
Pages (from-to)387-395
Number of pages9
JournalComputerized Medical Imaging and Graphics
Volume17
Issue number4-5
DOIs
StatePublished - 1993

All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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