首页> 外文期刊>International Journal of Engineering Science and Technology >SEGMENTATION OF LEFT VENTRICLE IN CARDIAC MRI USING SNAKE AND GVF SNAKE
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SEGMENTATION OF LEFT VENTRICLE IN CARDIAC MRI USING SNAKE AND GVF SNAKE

机译:蛇和GVF蛇对心脏MRI左心室的分割

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This study carries out the segmentation of left ventricle with the help of active contour model or Snakes algorithm and the same is also carried out with the help of GVF Snake. The segmentation is carried on multi slice magnetic resonance images (MRI) of the heart, transversing the short axis length from base to apex. The algorithm is carried out on the inner boundary known as endocardium. The boundaries tracked by both the algorithms are compared with computational complexity and accuracy.GVF Snakes provide a better accurate segmentation as it can penetrate into concavities and the boundaries are tracked properly.
机译:这项研究借助主动轮廓模型或Snakes算法对左心室进行分割,并且借助GVF Snake对左心室进行分割。分割是在心脏的多层磁共振图像(MRI)上进行的,将短轴长度从基部横切到顶点。该算法在称为心内膜的内边界上执行。将两种算法所跟踪的边界与计算复杂度和准确性进行了比较。GVFSnakes可以穿透凹面,并且可以正确跟踪边界,因此分割效果更好。

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