The uation of ventricular function is impor-

tant for the diagnosis of cardiovascular diseases. It typically

involves measurement of the left ventricular (LV) mass and LV

cavity volume. Manual delineation of the myocardial contours is

time-consuming and dependent on the subjective experience of the

expert observer. In this paper, a multi-atlas method is proposed

for cardiac magnetic resonance (MR) image segmentation. The

proposed method is novel in two aspects-The　uation of ventricular function is impor-

tant for the diagnosis of cardiovascular diseases. It typically

involves measurement of the left ventricular (LV) mass and LV

cavity volume. Manual delineation of the myocardial contours is

time-consuming and dependent on the subjective experience of the

expert observer. In this paper, a multi-atlas method is proposed

for cardiac magnetic resonance (MR) image segmentation. The

proposed method is novel in two aspects