腹主动脉瘤的自动分割

S. Habib, J. Dehmeshki
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引用次数: 5

摘要

本文的目的是开发腹主动脉瘤(AAA)的准确自动分割。首先,采用反几何扩散技术对CTA进行平滑处理。然后,通过分割和形态学运算,可以从预处理后的图像中识别出Lumen。通过几何信息、数学形态学和聚类分析,建立了腹腔的滞留状态。这个过程是成功的几何变换,通过使用中心线对齐管腔。因此,为了发现动脉瘤的存在,需要对腹腔管腔区域进行多次评估。为了测试自动检测和分割,本文对40个CT血管造影扫描进行了测试,并将结果显示在本文中。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Automatic Segmentation of Abdominal Aortic Aneurysm
The aim of this paper is to develop an accurate automatic segmentation of Abdominal Aortic Aneurysm (AAA). Firstly, an anti -geometric diffusion technique was used to smooth the CTA. Following on, applying the segmentation and morphological operation, the Lumen can be identified from the pre-processed image. Through applying Geometrical information, mathematical morphology and cluster analysis the detention of the abdominal lumen is established. The process is succeeded with the geometrical transformation to align the lumen through the use of the centreline. As a result, to find the existence of the aneurysm, multiple evaluations are conducted on the abdominal lumen area. To test the automatic detection and segmentation, 40 CT Angiography scans have been tested and the results have been displayed in this paper.
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