title: Guiding automated left ventricular chamber segmentation in cardiac imaging using the concept of conserved myocardial volume.
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.
authors.affiliation: University of Virginia, Charlottesville, VA 22908, USA. cgarson@virginia.edu
authors.forename: Christopher D
authors.initials: CD
authors.lastname: Garson
authors.forename: Bing
authors.initials: B
authors.lastname: Li
authors.forename: Scott T
authors.initials: ST
authors.lastname: Acton
authors.forename: John A
authors.initials: JA
authors.lastname: Hossack
mesh_terms: D000465:Algorithms; D000818:Animals; D001331:Automation; D004452:Echocardiography; D006352:Heart Ventricles / Q000000981:diagnostic imaging*; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional; D051379:Mice; D008810:Mice, Inbred C57BL