图像分割在肺部计数器虚拟刻度中的应用

Application of Image Segmentation for Virtual Calibration of Lung Counting System

基于边缘检测及阈值分割算法,采用Matlab编程对一物理体模的CT图片进行了自动分割,区分出肺、肌肉、骨骼3种组织,并对分割出的数据进行了三维重建,实现了体素模型的快速建立。将自动分割出的器官的体积与实际器官的比较,相对偏差小于2%。将体素模型用于肺部计数器的虚拟刻度,结果显示,虚拟刻度与实验结果的相对偏差小于10%。

A voxel phantom was established easily using Matlab software,based on the edge detection and gray threshold methods.Lung,muscle and bone were segmented from the original computerized tomography images of a physical phantom.Comparing the volume of the segmented organ and the physical organ,the relative deviation less than 2% was obtained.The segmented phantom was used for the in vivo calibration of lung counting systems.The result shows that the virtual calibration coefficient agrees with the experimental values very well,with a relative deviation less than 10%.