TY - JOUR T1 - Mathematical generation of normal data for evaluating myocardial perfusion studies JF - IEEE TRANSACTIONS ON MEDICAL IMAGING Y1 - 2002 A1 - Mariann Dudásné Nagy A1 - Eörs Máté A1 - Béla Kári AB - 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. VL - 21 SN - 0278-0062 IS - 11 N1 - ScopusID: 0038657861doi: 10.1109/TMI.2002.806429 JO - IEEE T MED IMAGING ER -