Publication | Closed Access
A method for a fully automatic definition of coronary arterial edges from cineangiograms
92
Citations
10
References
1988
Year
EngineeringCoronary Artery DiseaseCoronary Arterial EdgesImage AnalysisData ScienceBiostatisticsPublic HealthComputational GeometrySequential EdgeCardiologyAtherosclerosisCardiac ImagingBlood Flow MeasurementRadiologyCardiovascular ImagingGeometric ModelingCoronary Artery DimensionsVascular ImageMedical ImagingMedical Image ComputingDigital Subtraction AngiographyCoronary Artery PhantomCardiovascular DiseaseCoronary UnitAutomatic DefinitionComputer-aided DiagnosisMedical Image AnalysisEmergency Medicine
The authors describe a novel algorithm, known as sequential edge linking (SEL), for the automatic definition of coronary arterial edges in cineangiograms. This algorithm is based on sequential tree searching of possible coronary artery boundary locations. Using a coronary artery phantom, the authors compared the results obtained using SEL with hand-traced boundaries. Using a magnification of 2x, the results are generally good, with the average error being 1.7% of the diameter. Actual coronary artery images were also processed and a similar comparison indicated that total areas were comparable but the hand-drawn stenoses were, on average, 7% greater than the unobstructed diameter. Based on these data it is concluded that the SEL algorithm is an accurate method for fully automatic definition of coronary artery dimensions.
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