Department of Electrical & Computer Engineering, University of Iowa, Iowa City, IA, USA.
Comput Biol Med. 2010 Mar;40(3):271-8. doi: 10.1016/j.compbiomed.2009.12.002. Epub 2010 Jan 13.
An abdominal aortic aneurysm (AAA) is the area of a localized widening of the abdominal aorta, with a frequent presence of thrombus. Segmentation and quantitative analysis of the thrombus in AAA are of paramount importance for diagnosis, risk assessment and determination of treatment options. The proposed thrombus segmentation method utilizes the power and flexibility of the 3-D graph search approach based on a triangular mesh. The method was tested in 9 3-D MDCT angiography data sets (9 patients with AAA, 1300 image slices), and the mean unsigned errors for the luminal and thrombotic surfaces were 0.99+/-0.18 mm and 1.90+/-0.72 mm. To achieve these results, 9.9+/-10.3 control points needed to be interactively entered on 2.1+/-2.2 image slices per 3-D CTA data set.
腹主动脉瘤 (AAA) 是腹主动脉局部扩张的区域,常伴有血栓。AAA 中血栓的分割和定量分析对于诊断、风险评估和治疗方案的确定至关重要。所提出的血栓分割方法利用了基于三角网格的 3-D 图搜索方法的强大功能和灵活性。该方法在 9 个 3-D MDCT 血管造影数据集(9 个 AAA 患者,1300 个图像切片)中进行了测试,管腔和血栓表面的平均无符号误差分别为 0.99+/-0.18mm 和 1.90+/-0.72mm。为了实现这些结果,每个 3-D CTA 数据集需要在 2.1+/-2.2 个图像切片上交互输入 9.9+/-10.3 个控制点。