Abstract:
A computer-based of cardiac diagnosis system is
needed to assist a cardiologist to evaluate the
coronary artery disease quantitatively. In this paper,
a computer-based global and regional diagnosis is
developed to identify cardiac abnormality on 2D
echocardiography. The system consists endocardium
tracking, boundary modeling and segmentation, and
disease detection globally and regionally.A global
index was proposed to predict the left ventricular
function by analyzing the shape deformation.
Parameters of boundary motion such as displacement,
velocity, and strain rate were applied to produce local
features of each segment. Fifty-four set data was used
to assess the performance of the developed system.
Manual interpretation from three experts was used to
validate the proposed technique. The results are very
promising in recognizing the LV function globally and
indicating the abnormality of each segment quantitatively.
