Automated detection of the left ventricular region of interest by means of the extraction of typical behaviors in cardiac radionuclide angiographies

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...

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Bibliographic Details
Published in:IEEE transactions on medical imaging 1990-03, Vol.9 (1), p.5-10
Main Authors: Jouan, A., Verdenet, J., Cardot, J.C., Baud, M., Duvernoy, J.
Format: Article
Language:English
Subjects:
Angiography
Application software
Background noise
Biological and medical sciences
Biomedical imaging
Cardiovascular system
Image edge detection
Image recognition
Image sequences
Investigative techniques, diagnostic techniques (general aspects)
Medical sciences
Pixel
Radionuclide investigations
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Summary: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.< >
ISSN:0278-0062
1558-254X
DOI:10.1109/42.52988