Published June 1989
| Version v1
Journal article
Three-dimensional techniques and artificial intelligence in thallium-201 cardiac imaging
Creators
- 1. Emory Univ. School of Medicine, Atlanta, GA (USA)
Description
Three-dimensional reconstruction techniques including bull's-eye polar-coordinate maps, surface rendering, and surface modeling have been developed that help interpreting physicians assimilate complex 3-D tomographic data. Comparison of patient data with normal files highlights myocardial perfusion abnormalities, thus facilitating their recognition. In addition, AI systems that use heuristically defined rules derived from an expert knowledge base assist inexperienced observers in drawing conclusions regarding scan abnormalities.24 references
Additional details
Publishing Information
- Journal Title
- AJR, American Journal of Roentgenology
- Journal Volume
- 152
- Journal Issue
- 6
- Series
- AJR, Am. J. Roentgenol.
- Journal Page Range
- 1161-1168
- ISSN
- 0361-803X
- CODEN
- AAJRD
INIS
- Country of Publication
- United States
- Country of Input or Organization
- United States
- INIS RN
- 20072032
- Subject category
- S62: RADIOLOGY AND NUCLEAR MEDICINE;
- Descriptors DEI
- ARTIFICIAL INTELLIGENCE; EMISSION COMPUTED TOMOGRAPHY; HEART; NUCLEAR MEDICINE; PATIENTS; PERFUSED ORGANS; RADIOISOTOPE SCANNING; REVIEWS; THALLIUM 201; THREE-DIMENSIONAL CALCULATIONS
- Descriptors DEC
- BETA DECAY RADIOISOTOPES; BODY; CARDIOVASCULAR SYSTEM; COMPUTERIZED TOMOGRAPHY; COUNTING TECHNIQUES; DAYS LIVING RADIOISOTOPES; DOCUMENT TYPES; ELECTRON CAPTURE RADIOISOTOPES; HEAVY NUCLEI; ISOTOPES; MEDICINE; NUCLEI; ODD-EVEN NUCLEI; ORGANS; RADIOISOTOPES; THALLIUM ISOTOPES; TOMOGRAPHY