Abstract
Two computer algorithms were developed; one which assists the clinician in identifying defects on thallium scans and another which helps in assessing changes in activity in the lesions over time. The lesion detection algorithm was validated on phantom data and was shown to be a reliable detector of lesions whose area, information density, and contrast are in the range of those encountered clinically. When applied to clinical thallium scans, the algorithms enhance the predictive accuracy of human readers and provide quantitative time-activity data, not obtainable by simple inspection of the scan.
| Original language | English |
|---|---|
| Pages (from-to) | 303-306 |
| Number of pages | 4 |
| Journal | Computers in Cardiology |
| State | Published - 1979 |
| Event | Unknown conference - Duration: 26 Sep 1979 → 28 Sep 1979 |