膜式张应力装置中体外培养血管平滑肌细胞图像分割技术研究

Study on the Image Segmentation for Vascular Smooth Muscle Cells Cultured on the Silicon Membrane Stretched by Pulsatile Flow

建立图像分析系统定量分析血管平滑肌细胞(VSMCs)在张应力下的形态学反应,有助于了解VSMCs的生长机理,也有助于深入了解有关疾病的发病机理,为临床提供有效的治疗方法。图像分割是建立有效的图像分析系统过程中最为困难也是最为关键的环节。本文针对膜式张应力装置中体外培养血管平滑肌细胞图像,深入分析了该细胞力学实验中细胞图像的特点,提出了基于微分边缘检测算子的图像分割技术路线,依次为图像增强、灰度化、消除光晕、Canny边缘检测、数学形态学膨胀、区域填充、平滑边缘、形态学重建。

Quantitatively analyzing the morphological response to tensile stress for Vascular Smooth Muscle Cells （VSMCs）will be helpful to understanding the growth mechanism and pathology of VSMCs. Image segmentation plays a key role in image analysis and it is also the most difficult step in image processing pipeline. For the images of VSMCs cultured on the silicon membrane stretched by pulsatile flow, one method with eight steps based on difference arithmetic operators is proposed. Image enhancing, image graying, halation removing, Canny edge detection, mathematical morphology dilation,edge smoothing, mathematical morphological reconstruction are implemented according to the set sequence.