利用激光散斑成像在啮齿动物窗室模型中自动计算功能血管密度。
Automated computation of functional vascular density using laser speckle imaging in a rodent window chamber model.
机构信息
Department of Biomedical Engineering, University of California, Irvine, CA 92697, USA.
出版信息
Microvasc Res. 2011 Jul;82(1):92-5. doi: 10.1016/j.mvr.2011.03.006. Epub 2011 Mar 17.
Abstract
We report a methodology for computing functional vascular density within a rodent dorsal window chamber model based on long-exposure laser speckle imaging (LSI). This technique relies on the presence of flow to create detailed vasculature maps. Employing this contrast mechanism is not possible using conventional imaging methods. Additionally, a freeware algorithm for computing functional vascular density (FVD) from images acquired using long-exposure LSI is also described to facilitate ease in adopting this method. We demonstrate that together these tools can be used to compute FVD nearly twelve times faster than manual computation, yet with comparable accuracy.
摘要
我们报告了一种基于长曝光激光散斑成像（LSI）的啮齿动物背部窗口室模型中计算功能血管密度的方法。该技术依赖于血流的存在来创建详细的血管图谱。使用这种对比机制是不可能的，使用传统的成像方法。此外，还描述了一种用于从长曝光 LSI 获得的图像计算功能血管密度（FVD）的免费软件算法，以方便采用这种方法。我们证明，这些工具一起可以用来计算 FVD，速度几乎比手动计算快 12 倍，但准确性相当。
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