文件名称:Ttiordiovneation
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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
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
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bai2013.pdf