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首页> 外文期刊>電子情報通信学会技術研究報告. パターン認識·メディア理解. Pattern Recognition and Media Understanding >A method for automated extraction of the aorta area from 3D abdominal X-ray CT images without contrast medium by using edge information
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A method for automated extraction of the aorta area from 3D abdominal X-ray CT images without contrast medium by using edge information

机译:一种无需边缘造影剂即可从3D腹部X射线CT图像自动提取主动脉区域的方法

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We have already developed a method for extracting aorta areas in abdominal CT images. In this method the region growing method was used. However mis-extraction was caused when aorta touched other organs extensively. Here we propose a new method for extraction of aorta areas to reduce the mis-extraction areas. The edge information and the medial line of the aorta are used in the proposed method. First, the minimum distance from the edge areas is calculated at each voxel. The obtained image is called the distance image. The spine area is also extracted to determine the position of the aorta using the anatomical relationship between spines and aortas. Second, the medial line of the aorta is extracted by tracing local maxima of the distance image using the position of the aorta obtained above. Finally, the aorta area is extracted by applying the reverse Euclidean distance transformation to voxels on the medial line. We applied the proposed method to eleven 3D abdominal X-ray CT images without the contrast medium, and showed that proper aorta areas were obtained.
机译:我们已经开发了一种在腹部CT图像中提取主动脉区域的方法。在这种方法中,使用了区域生长方法。然而,当主动脉广泛接触其他器官时,会引起误抽出。在这里,我们提出了一种提取主动脉区域的新方法,以减少误提取区域。该方法采用了主动脉的边缘信息和中线。首先,在每个体素处计算到边缘区域的最小距离。所获得的图像称为距离图像。利用脊柱和主动脉之间的解剖关系,还可以提取脊柱区域以确定主动脉的位置。其次,通过使用上面获得的主动脉的位置跟踪距离图像的局部最大值来提取主动脉的中线。最后,通过对内侧线上的体素应用反向欧几里德距离变换来提取主动脉区域。我们将所提出的方法应用于没有造影剂的11幅3D腹部X射线CT图像,并显示获得了适当的主动脉面积。

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