6533b854fe1ef96bd12adeb1
RESEARCH PRODUCT
Comparison of Statistical Methods for the Detection of Contrast Material in Echocardiographic Image Sequences
Wittlich NJ. MeyerRüdiger BrenneckeE. SteinmetzRaimund ErbelD. Jungsubject
Computer sciencebusiness.industryContrast (statistics)Ultrasonic sensorComputer visionPattern recognitionArtificial intelligenceRepresentation (mathematics)Endocardial borderbusinessEchocardiographic imageUltrasonic imagingdescription
Ultrasonic imaging of the heart is a diagnostic tool which is increasingly used in cardiology. In addition to the representation of important anatomical information two dimensional images provided by mechanical or electronically steered sector scanners can be used for the extraction of functional parameters of the heart (as e.g. enddiastolic volume or ejection fraction). A poor definition of the endocardial border especially resulting from the noisy appearance of the images and from qualitatively restricted echocardiograms leads to uncertainties in the quantitative analysis and therefore requires refined methods for the determination of functional parameters. Our investigations which are based on the consideration of statistical properties of the received ultrasonic amplitude data resulted in the development of a new method for the detection of contrast material in echocardiographic image sequences. In the following we discuss the basic ideas of this method and also present first results gained by its application to some representative samples.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 1987-01-01 |