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SEGMENTATION OF CARDIAC MAGNETIC RESONANCE (CMR) IMAGES USING A MEMORY PERSISTENCE APPROACH
SEGMENTATION OF CARDIAC MAGNETIC RESONANCE (CMR) IMAGES USING A MEMORY PERSISTENCE APPROACH
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机译:使用记忆持久性方法对心脏磁共振(CMR)图像进行分段
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摘要
A method is proposed for identifying an anatomical structure within a spatial-temporal image (i.e. a series of frames captured as respective times). A current frame of spatial-temporal medical image is processed using information from one or more previous and/or subsequent temporal frames, to aid in the segmentation of an object or a region of interest (ROI) in a current frame. The invention is applicable to both two- and three-dimensional spatial-temporal images (i.e., 2D+time or 3D+time), and in particular to cardiac magnetic resonance (CMR images). An initialisation process for this method segments the left ventricle (LV) in a CMR image by a fuzzy c-means (FCM) clustering algorithm which employs a circular shape function as part of the definition of the dissimilarity measure.
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