Automated detection of the left ventricular region of interest by means of the extraction of typical behaviors in cardiac radionuclide angiographies
- 1 March 1990
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Medical Imaging
- Vol. 9 (1) , 5-10
- https://doi.org/10.1109/42.52988
Abstract
An automated process for the detection of the left ventricular end diastolic contour is defined. The extraction of a pure left ventricular behavior, obtained by the application of the Gram-Schmidt orthogonalization process on a set of vectors representing the three main typical behaviors present in the scintigraphic sequence, yields the synthesis of a new factorial image particularly matched for the extraction of the left ventricular region of interest (ROI). An edge following technique with conditional dilation applied simultaneously on the two binary images resulting from processing the new left ventricular factorial and the average images with a Laplacian operator gives a robust method for the detection of the left ventricular ROI.Keywords
This publication has 10 references indexed in Scilit:
- A Knowledge Based System for Analysis of Gated Blood Pool StudiesPublished by Institute of Electrical and Electronics Engineers (IEEE) ,1985
- Quantitative analysis of left ventricular function from equilibrium gated blood pool scintigrams: an overview of computer methodsEuropean Journal of Nuclear Medicine and Molecular Imaging, 1985
- Application of Linear Classifiers to the Recognition of the Temporal Behaviour of the HeartPublished by Springer Nature ,1984
- A computer program for compression of dynamic studiesComputer Programs in Biomedicine, 1983
- Smoothing, Thresholding And Contour Extraction In Images From Gated Blood Pool StudiesPublished by SPIE-Intl Soc Optical Eng ,1982
- Algorithms for Graphics and Image ProcessingPublished by Springer Nature ,1982
- Digital Boundary Detection Techniques For The Analysis Of Gated Cardiac ScintigramsOptical Engineering, 1981
- A fully automated determination of the left ventricular region of interest in nuclear angiocardiographyCardioVascular and Interventional Radiology, 1981
- Methods for detection of left ventricular edgesSeminars in Nuclear Medicine, 1980