Summary: Available online at www.sciencedirect.com
Computerized Medical Imaging and Graphics 32 (2008) 321­330
Guiding automated left ventricular chamber segmentation in cardiac
imaging using the concept of conserved myocardial volume
Christopher D. Garsona,, Bing Lib,1, Scott T. Actonc,2, John A. Hossacka,3
a University of Virginia, 415 Lane Road, PO Box 800759, Charlottesville, VA 22908, United States
b University of Virginia, 351 McCormic Road, Charlottesville, VA 22904, United States
c Thorton Hall, Office E309, 351 McCormic Road, Charlottesville, VA 22904, United States
Received 4 June 2007; received in revised form 16 February 2008; accepted 19 February 2008
Abstract
The active surface technique using gradient vector flow allows semi-automated segmentation of ventricular borders. The accuracy of the algorithm
depends on the optimal selection of several key parameters. We investigated the use of conservation of myocardial volume for quantitative assessment
of each of these parameters using synthetic and in vivo data. We predicted that for a given set of model parameters, strong conservation of volume
would correlate with accurate segmentation. The metric was most useful when applied to the gradient vector field weighting and temporal step-size
parameters, but less effective in guiding an optimal choice of the active surface tension and rigidity parameters.
© 2008 Elsevier Ltd. All rights reserved.
Keywords: Automatic segmentation; Cardiac imaging; Conservation of volume; Parameter optimization; Echocardiography
1. Introduction
In human and small animal echocardiography studies, the
majority of analyses are performed using two-dimensional B-

Source: Acton, Scott - Department of Electrical and Computer Engineering, University of Virginia

Collections: Computer Technologies and Information Sciences