The use of computer-assisted diagnosis in cardiac-perfusion nuclear medicine studies: A review

Frederick L. Datz, Frank V. Gabor, Paul E. Christian, Grant T. Gullberg, Carol E. Menzel, Kathryn A. Morton

Research output: Contribution to journalReview articlepeer-review

2 Scopus citations


The use of computer-assisted diagnosis has become widespread in cardiac nuclear medicine. Quantitative programs are commercially available for ventriculography, phase analysis, and thallium 201 perfusion studies. The goal of these programs is to eliminate interobserver variability by objectively analyzing the studies without causing a loss of accuracy. In addition, by using quantitative data not apparent on visual inspection, some programs attempt to increase sensitivity for disease above that possible by the visual reading of images. Programs that analyze perfusion studies to detect coronary artery disease have received the most interest. Results have varied, but sensitivities as high as 95% has been reported. This review discusses the techniques of computer-assisted diagnosis for thallium 201 myocardial-perfusion studies. The circumferential and washout profile methods are discussed in detail.

Original languageEnglish (US)
Pages (from-to)209-222
Number of pages14
JournalJournal of Digital Imaging
Issue number4
StatePublished - Nov 1992


  • artificial intelligence
  • computer-assisted diagnosis
  • computers
  • coronary artery disease
  • nuclear medicine

ASJC Scopus subject areas

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


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