Automatic detection of left ventricular shape in short axis ultrasound data using a 3D graph search algorithm

Manual tracing is usually required to assess left ventricular (LV) wall boundaries and thicknesses of diseased hearts with echocardiography, a labor-intensive process that limits clinical applicability. The authors present a 3D graph search algorithm that accurately and automatically determines LV e...

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Main Authors: VanderLeest, R., McPherson, D., Chandran, K.B., Dove, E.L.
Format: Conference Proceeding
Language:English
Subjects:
Biomedical engineering
Biomedical imaging
Cities and towns
Heart
Image segmentation
Linear regression
Shape
Surface morphology
Testing
Ultrasonic imaging
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McPherson, D.
Chandran, K.B.
Dove, E.L.
description Manual tracing is usually required to assess left ventricular (LV) wall boundaries and thicknesses of diseased hearts with echocardiography, a labor-intensive process that limits clinical applicability. The authors present a 3D graph search algorithm that accurately and automatically determines LV epicardial shape from parasternal short-axis ultrasound (SAX) data. SAX images obtained for 20 subjects (11 normal, 9 abnormal LV morphology) at four levels of the LV were used for this study. Quantitative assessment of the method was performed by linear regression analysis of cross-sectional areas of expert-traced contours and computer-detected contours. An intersection-to-union ratio (IUR) metric was used to assess shape similarity. Linear regression yielded a slope and intercept of 0.96/spl plusmn/0.06 and 3.78/spl plusmn/2.83 cm/sup 2/ respectively with R=0.97, n=80. Shape analysis gave an IUR value of 0.89/spl plusmn/0.03. Normal and diseased results are also discussed.
doi_str_mv 10.1109/CIC.1998.731958
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subjects Biomedical engineering
Biomedical imaging
Cities and towns
Heart
Image segmentation
Linear regression
Shape
Surface morphology
Testing
Ultrasonic imaging
title Automatic detection of left ventricular shape in short axis ultrasound data using a 3D graph search algorithm
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