3D C-shaped arm automatic dosage control method

Abstract

A 3D C-shaped arm automatic dosage control method belongs to the technical field of medical apparatus and instruments and is characterized in that a 3D C-shaped arm can perform 3D image reconstruction of a 2D sequence image; in an acquisition process of the 2D sequence image, accurate guidance can be provided for automatic exposure dosage of the next image according to the brightness value of the previous image. In an acquisition process of 2D sequences, in particular to human body lumbar vertebra, a C-shaped arm has a direct exposure area in a rotation acquisition process due to the geometrical features of the C-shaped arm, and the direct exposure area can directly affect calculation of the brightness value of an image area-of-interest; gray level distribution of an image is calculated through a probability statistics method, recognition and division of the area-of-interest can be achieved, and the brightness mean value of the image is calculated; and the accurate guidance can be provided for the exposure dosage of the next image through the calculation result. The advantage of the invention is that the accuracy of the calculation result can be ensured by calculating the gray level distribution through the probability statistics method.

Description

technical field [0001] The invention belongs to the technical field of medical equipment. Background technique [0002] The C-arm X-ray machine can rotate around the isocenter, and during the rotation process, it will expose and collect 100 sequential images for three-dimensional image reconstruction. In the process of rotating the C-arm to acquire sequence images, especially the acquisition of clinical lumbar spine data, there is a direct exposure area. If the image brightness value is calculated according to the traditional method for exposure control, the exposure dose will be inaccurate, which will affect the quality of the reconstructed image. . [0003] Automatic exposure control has become an essential function of X-ray machines. The traditional automatic exposure is to control the exposure by comparing the average brightness of the entire image with the preset reference value. The traditional brightness calculation method is to divide the entire image into regions ...

AI Technical Summary

Problems solved by technology

The traditional automatic exposure is to control the exposure by comparing the average brightness of the entire image with the preset reference value. The traditional brightness calculation method is to divide the entire image into regions to obtain the average brightness of the image. When there is a direct exposure area and the exposure conditions are the same, the calculation result will be significantly higher than the reference value, resulting in inaccurate exposure control

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