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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Bibliographic Details
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
Online Access:Request full text
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Summary: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.
ISSN:0276-6547
DOI:10.1109/CIC.1998.731958