A system and method for generating femoral X-ray films based on deep learning and digitally reconstructed radiological images

Abstract

The present invention provides a system and method for generating femoral X-ray films based on deep learning and digitally reconstructed radiological images, which performs deep multi-task regression through a three-dimensional convolutional neural network model, and automatically extracts CT slices including the lesser trochanter and the medial and lateral femoral condyles Layer, use the conditional generative neural network to segment the medial and lateral femoral condyles of the lesser trochanter, perform three-dimensional surface reconstruction on these two regions, solve the vertices of the lesser trochanter and the medial and lateral femoral condyles by calculating the Gaussian curvature, and calculate the plane of three points The angle between the horizontal plane and the final angle that needs to be rotated is obtained, and the X-ray film simulation image of the best position is obtained through digital reconstruction of the radiological image, replacing the film image used by the traditional CT simulation positioning machine. The present invention aims at the problem that the position of the femur in the current digitally reconstructed radiographic image can only be manually calibrated by doctors, the level of intelligence is not high, the calibration stability is poor, and the actual needs cannot be met, and the computer-aided method is used for femur CT film correction and X-ray film simulation. It can promote the intelligence of medical equipment.

Description

technical field [0001] The present invention relates to technical fields such as computer-aided orthopedic surgery preoperative planning, orthopedic surgery robots, etc., especially to the field of femoral posture correction in CT films and digitally reconstructed radiographic images, and specifically to a femoral X-ray system based on deep learning and digitally reconstructed radiographic images. Line sheet generation system and method. Background technique [0002] In the daily process of taking CT films of the lower extremity femur, patients may have different femur postures due to pain, deformity, etc., and it is difficult to achieve a uniform and standard posture. Determine the path of X-rays emitted by the simulated X-ray source through the CT image group, so the obtained X-ray films cannot achieve the desired effect, and accurate and consistent measurement results and surgical paths cannot be determined in femoral fracture analysis and femoral surgery planning. [00...

AI Technical Summary

Problems solved by technology

[0005] The technology of the present invention solves the problem: in view of the problems that the position of the femur in the current digitally reconstructed radiographic images can only be manually calibrated by doctors, the level of intelligence is not high, the calibration stability is poor, and the actu

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