Tufts University, Department of Computer Science, 161 College Ave, Medford, MA 02155, USA.
Med Image Anal. 2010 Apr;14(2):149-59. doi: 10.1016/j.media.2009.10.005. Epub 2009 Nov 11.
The detection of brain aneurysms plays a key role in reducing the incidence of intracranial subarachnoid hemorrhage (SAH) which carries a high rate of morbidity and mortality. The majority of non-traumatic SAH cases is caused by ruptured intracranial aneurysms and accurate detection can decrease a significant proportion of misdiagnosed cases. A scheme for automated detection of intracranial aneurysms is proposed in this study. Applied to the segmented cerebral vasculature, the method detects aneurysms as suspect regions on the vascular tree, and is designed to assist diagnosticians with their interpretations and thus reduce missed detections. In the current approach, the vessels are segmented and their medial axis is computed. Small regions along the vessels are inspected and the writhe number is introduced as a new surface descriptor to quantify how closely any given region approximates a tubular structure. Aneurysms are detected as non-tubular regions of the vascular tree. The geometric assumptions underlying the approach are investigated analytically and validated experimentally. The method is tested on 3D-rotational angiography (3D-RA) and computed tomography angiography (CTA). In our experiments, 100% sensitivity was achieved with average false positives rates of 0.66 per study on 3D-RA data and 5.36 false positive rates per study on CTA data.
颅内动脉瘤的检测在降低颅内蛛网膜下腔出血（SAH）的发病率方面起着关键作用，后者的发病率和死亡率都很高。大多数非创伤性 SAH 是由颅内破裂动脉瘤引起的，准确的检测可以减少很大一部分误诊病例。本研究提出了一种自动检测颅内动脉瘤的方案。该方法应用于分割后的脑血管，将动脉瘤检测为血管树上的可疑区域，旨在帮助诊断医生进行解释，从而减少漏诊。在当前的方法中，对血管进行分割并计算其中轴线。沿着血管检查小区域，并引入扭结数作为新的表面描述符，以量化任何给定区域接近管状结构的程度。将动脉瘤检测为血管树的非管状区域。对该方法的几何假设进行了分析和实验验证。该方法在三维旋转血管造影（3D-RA）和计算机断层血管造影（CTA）上进行了测试。在我们的实验中，3D-RA 数据的每个研究中实现了 100%的灵敏度，平均假阳性率为 0.66，CTA 数据的每个研究中假阳性率为 5.36。
