Automatic detection of intracranial aneurysms in 3D-DSA based on a Bayesian optimized filter
Automatic detection of intracranial aneurysms in 3D-DSA based on a Bayesian optimized filter
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DOI：
10.1186/s12938-020-00817-9
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发表时间：
2020-09-15
影响因子：
3.9
通讯作者：
Wang, Yuanyuan
中科院分区：
文献类型：
--
作者：
Hu, Tao;Yang, Heng;Wang, Yuanyuan
背景：颅内动脉瘤是一种常见的脑血管疾病，如果破裂会导致严重的蛛网膜下腔出血。准确的计算机辅助检测动脉瘤可以帮助医生提高诊断的准确性，对降低蛛网膜下腔出血的风险非常有帮助。动脉瘤可以通过不同形式的2D或3D图像检测到。与二维图像相比，三维图像可以提供更多的血管信息，但检测难度更大。二维图像的检测性能与视角有关；可能需要几个角度来确定动脉瘤。数字减影血管造影（digital subtraction angiography， DSA）作为血管疾病诊断的金标准，其检测比其他方式更具有临床价值。在本研究中，我们提出了一种自适应多尺度滤波器来检测3D-DSA上的颅内动脉瘤。方法适应性动脉瘤检测分为三部分。第一部分是基于Hessian矩阵特征值的滤波器，其参数通过贝叶斯优化自动获得。第二部分是基于区域生长和自适应阈值的动脉瘤提取。第三部分为多动脉瘤迭代检测策略。结果对145例患者的数据集进行了定量评价。结果表明，该方法的检测精度为94.6%，灵敏度为96.4%，假阳性率为6.2%。小于5mm的动脉瘤占93.9%。与2D-DSA检测动脉瘤相比，3D-DSA自动检测可有效降低误诊率，获得更准确的检测结果。与其他模态检测相比，我们也得到了相似或更好的检测性能。结论实验结果表明，该方法对动脉瘤的检测稳定可靠，为医生准确诊断动脉瘤提供了一种选择。
Background Intracranial aneurysm is a common type of cerebrovascular disease with a risk of devastating subarachnoid hemorrhage if it is ruptured. Accurate computer-aided detection of aneurysms can help doctors improve the diagnostic accuracy, and it is very helpful in reducing the risk of subarachnoid hemorrhage. Aneurysms are detected in 2D or 3D images from different modalities. 3D images can provide more vascular information than 2D images, and it is more difficult to detect. The detection performance of 2D images is related to the angle of view; it may take several angles to determine the aneurysm. As the gold standard for the diagnosis of vascular diseases, the detection on digital subtraction angiography (DSA) has more clinical value than other modalities. In this study, we proposed an adaptive multiscale filter to detect intracranial aneurysms on 3D-DSA. Methods Adaptive aneurysm detection consists of three parts. The first part is a filter based on Hessian matrix eigenvalues, whose parameters are automatically obtained by Bayesian optimization. The second part is aneurysm extraction based on region growth and adaptive thresholding. The third part is the iterative detection strategy for multiple aneurysms. Results The proposed method was quantitatively evaluated on data sets of 145 patients. The results showed a detection precision of 94.6%, and a sensitivity of 96.4% with a false-positive rate of 6.2%. Among aneurysms smaller than 5 mm, 93.9% were found. Compared with aneurysm detection on 2D-DSA, automatic detection on 3D-DSA can effectively reduce the misdiagnosis rate and obtain more accurate detection results. Compared with other modalities detection, we also get similar or better detection performance. Conclusions The experimental results show that the proposed method is stable and reliable for aneurysm detection, which provides an option for doctors to accurately diagnose aneurysms.