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首页> 外文会议>European signal processing conference;EUSIPCO 2009 >CHAN-VESE BASED METHOD TO SEGMENT MOUSE BRAIN MRI IMAGES: APPLICATION TO CEREBRAL MALFORMATION ANALYSIS IN TRISOMY 21
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CHAN-VESE BASED METHOD TO SEGMENT MOUSE BRAIN MRI IMAGES: APPLICATION TO CEREBRAL MALFORMATION ANALYSIS IN TRISOMY 21

机译：基于改变神经的分割小鼠脑MRI图像的方法：在21型三叉神经畸形分析中的应用

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摘要

In this paper, a semi automatic active contour method based on Chan-Vese model is proposed for the segmentation of mouse brain MR images. First, a 2 1/2 D strategy is applied on the axial images to segment the 3D volume of interest. The method takes into account the special shape of the object to segment. Moreover, the user defines the limits where to search these contours and also provides an initial contour. This semi automatic method makes that human intervention is limited and the tedious manual handling is greatly reduced. Results have shown that the brain volumes estimated by the method are identical to expert manually estimated volumes. Last but not least, the new method was used in the analysis of the cerebral malformations linked to Trisomy 21: no significant difference of the brain volumes between Trisomy 21 mice and the control ones were found.
机译：提出了一种基于Chan-Vese模型的半自动主动轮廓线分割方法。首先，将2 1/2 D策略应用于轴向图像以分割感兴趣的3D体积。该方法考虑了要分割的对象的特殊形状。此外，用户可以定义搜索这些轮廓的范围，还可以提供初始轮廓。这种半自动方法使人为干预受到限制，并且繁琐的人工操作大大减少了。结果表明，通过该方法估算的大脑体积与专家手动估算的体积相同。最后但并非最不重要的一点是，该新方法用于分析与21三体性疾病相关的脑畸形：在Trisomy 21小鼠和对照组之间，脑容量没有显着差异。

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