Automated generation of curved planar reformations from volume data: Method and evaluation

Raghav Raman, Sandy Napel, Christopher F. Beaulieu, Eric S. Bain, R. Brooke Jeffrey, Geoffrey D. Rubin

Research output: Contribution to journalArticlepeer-review

54 Scopus citations

Abstract

The authors developed and evaluated a method to automatically create interactive vascular curved planar reformations with computed tomographic (CT) angiographic data. The method decreased user interaction time by 86%, from 15 to 2 minutes. Expert reviewers were asked to indicate their confidence in differentiating automatically created images from clinical-quality manually produced images. The area under the receiver operating characteristic curve was 0.45 (95% Cl: 0.39, 0.51), and a test of equivalency indicated that reviewers could not distinguish between images. They also graded image quality as equivalent to that with manual methods and found fewer artifacts on automatically created images. Automatic methods rapidly produce curved planar reformations of equivalent quality with reduced time and effort.

Original languageEnglish (US)
Pages (from-to)275-280
Number of pages6
JournalRadiology
Volume223
Issue number1
DOIs
StatePublished - 2002
Externally publishedYes

Keywords

  • Angiography, technology
  • Arteries, CT
  • Computed tomography (CT), helical
  • Images processing
  • Veins, CT

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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