Mathematical generation of normal data for evaluating myocardial perfusion studies.
In this paper, we present a new mathematical method that synthesizes normal data sets for quantification of regional myocardium perfusion. In clinical practice, regional myocardial perfusion is often measured with a gamma camera and quantified via circumferential profile analysis. Normal reference profile data is used to increase the accuracy of the clinical interpretations. Our goal is to create reference data from an existing set of archived studies. An iterative mathematical method, based on two statistical hypotheses, was used to generate the study set instead of collecting normal examinations from a healthy population. Clinical validation is based on interpretations by six independent observers. Results of evaluation with synthesized normal data and its validation are presented.
Dudásné Nagy
Marianna
M
Department of Applied Informatics, University of Szeged, PO Box 652, Szeged 6701, Hungary. marcsi@inf.u-szeged.hu
Máté
Eörs
E
Kári
Béla
B
D000465:Algorithms; D001783:Blood Flow Velocity; D003198:Computer Simulation; D005188:False Negative Reactions; D005189:False Positive Reactions; D006321:Heart / Q000000981:diagnostic imaging / Q000502:physiology; D006352:Heart Ventricles / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods* / Q000592:standards; D008955:Models, Cardiovascular; D015588:Observer Variation; D011877:Radionuclide Imaging / Q000592:standards; D012015:Reference Standards; D012016:Reference Values; D015203:Reproducibility of Results; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D016037:Single-Blind Method; D018487:Ventricular Dysfunction, Left / Q000000981:diagnostic imaging* / Q000503:physiopathology*