DocumentCode :
1522111
Title :
Automated detection of the left ventricular region of interest by means of the extraction of typical behaviors in cardiac radionuclide angiographies
Author :
Jouan, Alexandre ; Verdenet, Josette ; Cardot, Jean Claude ; Baud, Michel ; Duvernoy, Jacques
Author_Institution :
P.M. Duffieux Opt. Lab., Besancon, France
Volume :
9
Issue :
1
fYear :
1990
fDate :
3/1/1990 12:00:00 AM
Firstpage :
5
Lastpage :
10
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 :
cardiology; computerised picture processing; medical diagnostic computing; radioisotope scanning and imaging; Gram-Schmidt orthogonalization process; Laplacian operator; binary images; cardiac radionuclide angiographies; conditional dilation; edge following technique; factorial image; left ventricular end diastolic contour; left ventricular region of interest; nuclear medicine; scintigraphic sequence; typical behaviours extraction; Angiography; Application software; Background noise; Biomedical imaging; Helium; Image edge detection; Image recognition; Image sequences; Pixel;
fLanguage :
English
Journal_Title :
Medical Imaging, IEEE Transactions on
Publisher :
ieee
ISSN :
0278-0062
Type :
jour
DOI :
10.1109/42.52988
Filename :
52988
Link To Document :
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