Robust infrarenal aortic aneurysm lumen centerline detection for rupture status classification.
Robust infrarenal aortic aneurysm lumen centerline detection for rupture status classification.
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DOI：
10.1016/j.medengphy.2013.03.005
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发表时间：
2013-09
影响因子：
2.2
通讯作者：
Finol EA
中科院分区：
文献类型：
--
作者：
Zhang H;Kheyfets VO;Finol EA
这项工作的目标是开发一种用于人类腹主动脉瘤（AAA）中心线检测的鲁棒方法，该方法有助于准确计算特征以预测AAA破裂风险。提出了一种基于在线adaboost分类器的半自动腹部CT增强图像管腔中心线检测算法，该算法不需要预先进行图像分割。开发了该算法，并将其应用于30个破裂和30个未破裂AAA图像数据集，测量了检测到的中心线的迂曲度，以评估AAA迂曲度与二元破裂和未破裂标签之间的相关性。每个数据集的管腔由经过培训的放射科医生手动分割，每个数据集的所得中心线被定义为金标准，以评价算法的准确性，并将其与两种广泛使用的分割技术进行比较。离线adaboost分类器的平均相对准确度为91.9%，标准差为1.6%;在线adaboost分类器的平均相对准确度为93.6%，标准差为1.9%（p<0.05）。在线adaboost分类器优于离线adaboost分类器，而它们的计算成本相似。与未破裂动脉瘤相比，使用在线adaboost从准确导出的管腔中心线计算的破裂动脉瘤的动脉瘤迂曲度在统计学上更高，表明迂曲度可用于评估血管临床中的破裂风险。
The objective of this work is to develop a robust method for human abdominal aortic aneurysm (AAA) centerline detection that can contribute to the accurate computation of features for the prediction of AAA rupture risk. A semiautomatic algorithm is proposed for detecting the lumen centerline in contrast-enhanced abdominal computed tomography images based on online adaboost classifiers, which does not require prior image segmentation. The algorithm was developed and applied to thirty ruptured and thirty unruptured AAA image data sets and the tortuosities of the detected centerline were measured to assess the correlation between AAA tortuosity and the binary ruptured and unruptured labels. The lumen of each data set was segmented manually by a trained radiologist and the resulting centerlines of each data set were defined as the gold standard to evaluate the accuracy of the algorithm and to compare it against two widely used segmentation techniques. The average mean relative accuracy of the offline adaboost classifier is 91.9% with a standard deviation of 1.6%; for the online adaboost classifier it is 93.6% with a standard deviation of 1.9% (p<0.05). The online adaboost classifier outperforms the offline adaboost classifier while their computational costs are similar. Aneurysm tortuosity computed from an accurately derived lumen centerline using online adaboost is statistically higher for ruptured aneurysms compared to unruptured aneurysms, indicating that tortuosity can be used to assess rupture risk in the vascular clinic.
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影响因子：
4.3
作者：
Fillinger, MF;Marra, SP;Kennedy, FE
通讯作者：
Kennedy, FE
影响因子：
2.3
作者：
BELKIN, M;DONALDSON, MC;WHITTEMORE, AD
通讯作者：
WHITTEMORE, AD
影响因子：
4.3
作者：
Fillinger, MF;Racusin, J;Rzucidlo, EM
通讯作者：
Rzucidlo, EM
影响因子：
19.5
作者：
KASS, M;WITKIN, A;TERZOPOULOS, D
通讯作者：
TERZOPOULOS, D
影响因子：
3.9
作者：
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通讯作者：
Xu XY