학술논문

Quantitative comparison of new image processing methods for volumetric analysis of left ventricular contrast echocardiograms
Document Type
Conference
Source
[1989] Proceedings. Computers in Cardiology Computers in Cardiology 1989, Proceedings.. :371-374 1989
Subject
Bioengineering
Computing and Processing
Signal Processing and Analysis
Image processing
Image analysis
Heart
Signal to noise ratio
Spatial resolution
Biomedical imaging
Uncertainty
Echocardiography
Ultrasonic variables measurement
Data acquisition
Language
Abstract
An effort has been made to develop image processing methods which allow a definite and precise tracking of the borderline of the ventricle in two-dimensional echocardiograms. Experience is reported with two new methods, which are based on the gray-level rise (GL) and the signal-to-noise ratio (SNR) in combined heart-phase-triggered image series. A quantitative comparison of these time-series methods is presented with respect to the interpretation of a single native image (noncontrast image), a single contrast-material image, the corresponding subtraction image, and the corresponding color superposition image. The comparison is based on the calculation of the ejection fraction using the above-mentioned methods, interobserver variability, and intraobserver variability. The color superposition method and the two new methods described here (GL and SNR) are shown to be especially well suited for left-ventricle function evaluation.ETX