Liang Jianming, McInerney Tim, Terzopoulos Demetri
Computer Aided Diagnosis and Therapy, Siemens Medical Solutions USA, Inc., Malvern, PA 19355, USA.
Med Image Anal. 2006 Apr;10(2):215-33. doi: 10.1016/j.media.2005.09.002. Epub 2005 Nov 28.
Since their debut in 1987, snakes (active contour models) have become a standard image analysis technique with several variants now in common use. We present a framework called "United Snakes", which has two key features. First, it unifies the most popular snake variants, including finite difference, B-spline, and Hermite polynomial snakes in a consistent finite element formulation, thus expanding the range of object modeling capabilities within a uniform snake construction process. Second, it embodies the idea that the heretofore presumed competing technique known as "live wire" or "intelligent scissors" is in fact complementary to snakes and that the two techniques can advantageously be combined by introducing an effective hard constraint mechanism. The United Snakes framework amplifies the efficiency and reproducibility of the component techniques, and it offers more flexible interactive control while further minimizing user interactions. We apply United Snakes to several different medical image analysis tasks, including the segmentation of neuronal dendrites in EM images, dynamic chest image analysis, the quantification of growth plates in MR images and the isolation of the breast region in mammograms, demonstrating the generality, accuracy and robustness of the tool.
自1987年首次出现以来,蛇形模型(主动轮廓模型)已成为一种标准的图像分析技术,现在有几种变体被广泛使用。我们提出了一个名为“联合蛇形模型”的框架,它有两个关键特性。首先,它在一致的有限元公式中统一了最流行的蛇形模型变体,包括有限差分、B样条和埃尔米特多项式蛇形模型,从而在统一的蛇形构建过程中扩展了对象建模能力的范围。其次,它体现了这样一种观点,即迄今为止被认为相互竞争的技术“活线”或“智能剪刀”实际上与蛇形模型是互补的,并且通过引入有效的硬约束机制可以将这两种技术有利地结合起来。联合蛇形模型框架提高了组件技术的效率和可重复性,同时提供了更灵活的交互式控制,进一步减少了用户交互。我们将联合蛇形模型应用于几个不同的医学图像分析任务,包括电子显微镜图像中神经元树突的分割、动态胸部图像分析、磁共振图像中生长板的量化以及乳腺钼靶图像中乳腺区域的分离,证明了该工具的通用性、准确性和鲁棒性。