Fully automated segmentation and morphometrical analysis of muscle fiber images
Fully automated segmentation and morphometrical analysis of muscle fiber images
复制标题
DOI：
10.1002/cyto.a.20334
复制
发表时间：
2007-01-01
期刊：
影响因子：
3.7
通讯作者：
Weickert, Joachim
中科院分区：
文献类型：
--
作者：
Kim, Yoo-Jin;Brox, Thomas;Weickert, Joachim
背景：肌纤维尺寸的测量和尺寸分布的确定在神经肌肉疾病的评估中是重要的。通过简单的检测来估计纤维尺寸是不准确和主观的。手动分割和测量是耗时和繁琐的。因此，我们提出了一个自动化的图像分析方法，客观的，可重复的，和节省时间的测量肌纤维在常规hematoxylineosin染色cryostat sections.Methods：建议的分割技术，利用水平集为基础的分割，经典的边缘为基础的活动轮廓扩展区域为基础的线索，如颜色和纹理的最新进展。分割和测量完全自动执行。多个形态测量参数，即，横截面积、较小直径和周长在单次通过中评估。结果：计算方法的分类正确率较高（98%），与专家人工测量的结果进行了比较。手动或自动获得的分割和测量结果没有发现任何显着的differentis.Conclusions：所提出的基于区域的活动轮廓方法已被证明可以准确地分割和测量肌纤维。完全自动化最大限度地减少了用户交互，因此，提供了批量处理以及客观和可重现的肌纤维形态测定。(c)2007年国际分析细胞学学会
Background: Measurement of muscle fiber size and determination of size distribution is important in the assessment of neuromuscular disease. Fiber size estimation by simple inspection is inaccurate and subjective. Manual segmentation and measurement are time-consuming and tedious. We therefore propose an automated image analysis method for objective, reproducible, and time-saving measurement of muscle fibers in routinely hematoxylineosin stained cryostat sections.Methods: The proposed segmentation technique makes use of recent advances in level set based segmentation, where classical edge based active contours are extended by region based cues, such as color and texture. Segmentation and measurement are performed full), automatically Multiple morphometric parameters, i.e., cross sectional area, lesser diameter, and perimeter are assessed in a single pass. The performance of the computed method was compared to results obtained by manual measurement by experts.Results: The correct classification rate of the computed method was high (98%). Segmentation and measurement results obtained manually or automatically did not reveal any significant differences.Conclusions: The presented region based active contour approach has been proven to accurately segment and measure muscle fibers. Complete automation minimizes user interaction, thus, batch processing, as well as objective and reproducible muscle fiber morphometry are provided. (c) 2007 International Society for Analytical Cytology