Mathematical generation of normal data for evaluating myocardial perfusion studies.
IEEE Trans Med Imaging
; 21(11): 1358-65, 2002 Nov.
Article
in En
| MEDLINE
| ID: mdl-12575872
ABSTRACT
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.
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Collection:
01-internacional
Database:
MEDLINE
Main subject:
Image Interpretation, Computer-Assisted
/
Ventricular Dysfunction, Left
/
Heart Ventricles
/
Models, Cardiovascular
Type of study:
Diagnostic_studies
/
Evaluation_studies
/
Observational_studies
/
Prognostic_studies
Limits:
Humans
Language:
En
Journal:
IEEE Trans Med Imaging
Year:
2002
Document type:
Article
Affiliation country:
Hungria