Snake法和GVF snake法进行颈动脉超声图像分割的比较

Objective Traditional snake and GVF snake are used to determine the internal and external contours of carotid ultrasound images. Compared the results of these two methods, an effective method is set up for the carotid ultrasound images segmentation. Methods Traditional snake and GVF snake were used to segment 38 groups of carotid ultrasound images. The parameters of these two models were adjusted to get optimal segmentation results. The segmentation results were compared. Results Both the traditional snake and the GVF snake resulted in satisfactory results when the initial contours were close to the contours of the objects, but the convergence rate of the GVF snake was faster than that of the traditional snake. The GVF snake also brought satisfactory results when the initial contours were far from the contours of the objects while the traditional snake failed. Conclusion Both the traditional snake and the GVF snake can result in satisfactory results in simple images segmentation. The GVF snake does better than the traditional snake in the segmentation of complex images with concaves.