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