Computer Vision Laboratory, Federal Institute of Technology ETH, Sternwartstrasse 7, 8092 Zurich, Switzerland.
Med Image Anal. 2012 Oct;16(7):1397-414. doi: 10.1016/j.media.2012.04.009. Epub 2012 May 18.
We present an approach to generate 3-D arterial tree models based on physiological principles while at the same time certain morphological properties are enforced at construction time. The driving force of the construction is a simplified angiogenesis model incorporating case-specific information about the metabolic demand within the considered domain. The vascular tree is constructed iteratively by successively adding new segments in chemotactic response to angiogenic growth factors secreted by ischemic cells. Morphometrically confirmed bifurcation statistics of vascular networks are incorporated to optimize the synthetic vasculature. The proposed method is able to generate artificial, yet physiologically plausible, arterial tree models that match the metabolic demand of the embedding tissue and fulfill the prescribed morphological properties at the same time. The proposed tree generation approach is applied in a simulation setup based on the metabolic configuration and anatomy of the macaque visual cortex. We analyze the generated tree models with respect to morphological and physiological aspects including fluid-dynamic simulations. The comparison of our results with the findings of different studies on the structure of cerebral vasculatures demonstrates the plausibility of our method.
我们提出了一种基于生理原理生成 3D 动脉树模型的方法，同时在构建时强制执行某些形态属性。构建的驱动力是一个简化的血管生成模型，该模型包含有关所考虑区域内代谢需求的特定于病例的信息。通过对由缺血细胞分泌的血管生成生长因子的趋化反应，血管树被迭代地构建。将形态学上确认的血管网络分支统计数据纳入其中，以优化合成血管。所提出的方法能够生成人工的、但具有生理合理性的动脉树模型，这些模型与嵌入组织的代谢需求相匹配，同时满足规定的形态属性。所提出的树生成方法应用于基于猕猴视觉皮层的代谢配置和解剖结构的模拟设置中。我们从形态学和生理学方面对生成的树模型进行了分析，包括流体动力学模拟。我们的结果与不同关于脑血管结构的研究结果进行了比较，证明了我们方法的合理性。
