Application of Image Segmentation for Virtual Calibration of Lung Counting System

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%.