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Automated extraction of aorta regions from 3D abdominal X-ray CT images using anatomical knowledge

机译:使用解剖知识自动提取3D腹部X射线CT图像的主动脉区

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摘要

This paper describes a method for automated extraction of aorta regions from 3D abdominal X-ray CT images using anatomical knowledge. We have developed the method for automated extraction of aorta regions, based on the shape recovery technique by the distance and the reverse distance transformations. However, in the case that the intensity contrast between abdominal organs and the aorta is low, mis-segmentation of other organs occurs in the shape modification process. The proposed method uses the Hough transformation in addition to the distance transformation to extract a medial line of the aorta. Also it uses the variance of CT values of recovered aorta region to prevent mis-segmentations. The proposed method is applied to twenty two cases of 3D abdominal X-ray CT images. The extraction results showed that aorta regions could be extracted satisfactorily and stably.
机译:本文介绍了一种使用解剖学知识从3D腹部X射线CT图像自动提取主动脉区域的方法。 我们已经开发了基于距离和反向距离变换的形状恢复技术来自动提取主动脉区域的方法。 然而,在腹部器官和主动脉之间的强度对比度低的情况下,在形状修改过程中发生其他器官的错误分割。 该方法除了距离变换之外,还使用霍夫变换以提取主动脉内侧线。 此外,它使用恢复的主动脉区域的CT值的方差来防止错误分割。 所提出的方法应用于3D腹部X射线CT图像的二十二个病例。 提取结果表明,主动脉区域可以令人满意地且稳定地提取。

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