Xiaofeng Wan

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BACKGROUND Misalignment in cardiac magnetic resonance (CMR) images can adversely affect three-dimensional left ventricle modelling and downstream quantitative analysis. Currently, there are two types of approaches for dealing with realignment and motion distortion problems, one image based and the other geometry based. Image-based approaches are limited by(More)
This study proposes a novel method to localize the mitral valve orifice in the three-dimensional left cardiac model reconstructed from Cardiac Magnetic Resonance (CMR) images. After acquiring both short axis and long axis CMR images, endocardium contours were delineated on all images while additional six points were marked to identify the mitral valve(More)
Cardiovascular Disease (CVD), accounting for 17% of overall deaths in the USA, is the leading cause of death over the world. Advances in medical imaging techniques make the quantitative assessment of both the anatomy and function of heart possible. The cardiac modeling is an invariable prerequisite for quantitative analysis. In this study, a novel method is(More)
—Particle swarm optimization algorithm is a global optimization technique and a new technology base on swarm brainpower. This ideology comes from manpower anima and evolvement calculation theory. Its algorithm is simple for implement and excellent for application. Particle follow the one which is the best it found in the whole swarm to complete optimize. To(More)
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