Research of correcting distorted X-ray image based on BP neural network
基于 BP神经网络的 X光图像畸变校正技术的研究 *

To solve the distortion problem of the X-ray image in the process of robot-assisted surgery, this paper proposed a new method of X-ray image distortion correction based on BP neural network. In this method, the BP neural network was built through using the position information of the calibration samples extracted from the distorted X-ray image in a standard template as the neural network input, and using the real position information of the calibration samples in the standard template as the neural network output. The mapping between the distorted X-ray image and the standard template could be achieved using this BP neural network, the distortion problem could be solved. The method was tested by the experiment of locking the distal screw of the medullary nail with the help of the robot-assisted surgery system, and it was proved to be effective.