Dong Bin, Chien Aichi, Mao Yu, Ye Jian, Osher Stanley
Department of Mathematics, University of California, Los Angeles, CA, USA.
Med Image Comput Comput Assist Interv. 2008;11(Pt 1):162-9. doi: 10.1007/978-3-540-85988-8_20.
Brain aneurysm rupture has been reported to be directly related to the size of aneurysms. The current method used to determine aneurysm size is to manually measure the width of the neck and height of the dome on a computer screen. Because aneurysms usually have complicated shapes, using the size of the aneurysm neck and dome may not be accurate and may overlook important geometrical information. In this paper we present a level set based illusory surface algorithm to capture the aneurysms from the vascular tree. Since the aneurysms are described by level set functions, not only the volume but also the curvature of aneurysms can be computed for medical studies. Experiments and comparisons with models used for capturing illusory contours in 2D images are performed. This includes applications to clinical image data demonstrating the procedure of accurately capturing a middle cerebral artery aneurysm.
据报道，脑动脉瘤破裂与动脉瘤大小直接相关。目前用于确定动脉瘤大小的方法是在计算机屏幕上手动测量瘤颈宽度和瘤顶高度。由于动脉瘤通常形状复杂，使用瘤颈和瘤顶的尺寸可能不准确，并且可能忽略重要的几何信息。在本文中，我们提出了一种基于水平集的虚幻表面算法，用于从血管树中捕获动脉瘤。由于动脉瘤由水平集函数描述，因此不仅可以计算动脉瘤的体积，还可以计算其曲率以用于医学研究。我们进行了实验，并与用于在二维图像中捕获虚幻轮廓的模型进行了比较。这包括对临床图像数据的应用，展示了准确捕获大脑中动脉瘤的过程。
