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A New Tube Detection Filter for Abdominal Aortic Aneurysms

机译:腹主动脉瘤的新型管检测过滤器

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摘要

Tube detection filters (TDFs) are useful for segmentation and centerline extraction of tubular structures such as blood vessels and airways in medical images. Most TDFs assume that the cross-sectional profile of the tubular structure is circular. This assumption is not always correct, for instance in the case of abdominal aortic aneurysms (AAAs). Another problem with several TDFs is that they give a false response at strong edges. In this paper, a new TDF is proposed and compared to other TDFs on synthetic and clinical datasets. The results show that the proposed TDF is able to detect large non-circular tubular structures such as AAAs and avoid false positives.
机译:管检测过滤器(TDF)可用于对医学图像中的管状结构(例如血管和气道)进行分割和中心线提取。大多数TDF假定管状结构的横截面轮廓是圆形的。这种假设并不总是正确的,例如在腹主动脉瘤(AAAs)的情况下。几个TDF的另一个问题是,它们在强边缘处给出错误的响应。本文提出了一种新的TDF,并将其与合成和临床数据集上的其他TDF进行了比较。结果表明,提出的TDF能够检测大型非圆形管状结构(例如AAA)并避免误报。

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