Automated multidetector row CT dataset segmentation with an interactive watershed transform (IWT) algorithm: Part 1. Understanding the IWT technique

David G. Heath, Horst K. Hahn, Pamela T. Johnson, Elliot K. Fishman

Research output: Contribution to journalArticlepeer-review

Abstract

Segmentation of volumetric computed tomography (CT) datasets facilitates evaluation of 3D CT angiography renderings, particularly with maximum intensity projection displays. This manuscript describes a novel automated bone editing program that uses an interactive watershed transform (IWT) technique to rapidly extract the skeletal structures from the volume. Advantages of this tool include efficient segmentation of large datasets with minimal need for correction. In the first of this two-part series, the principles of the IWT technique are reviewed, followed by a discussion of clinical utility based on our experience.

Original languageEnglish (US)
Pages (from-to)408-412
Number of pages5
JournalJournal of Digital Imaging
Volume21
Issue number4
DOIs
StatePublished - Dec 2008

Keywords

  • 3D segmentation
  • Body imaging
  • Computed tomography

ASJC Scopus subject areas

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Science Applications

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