CT or PET-CT intelligent positioning scanning method under monocular camera

Abstract

The invention provides a CT or PETCT intelligent positioning scanning method under a monocular camera, relates to the technical field of CT or PETCT intelligent positioning scanning, and realizes direct calculation from a target frame selection range to a real scanning start-stop position by establishing a mapping model of a real space and an image between shields. Meanwhile, self-calibration andself-verification methods of imaging equipment parameters and mapping model parameters are realized, system assembling and debugging steps are simplified, and the method can automatically adapt to different camera types and different shielding room environments; and meanwhile, through intelligent identification of the target part of the patient, after the patient lies on the diagnostic bed, the starting and stopping position of the scanning can be determined without extra operation, and meanwhile, the motion control module is notified to execute downwards, so that the scanning and positioningefficiency is improved.

Description

technical field [0001] The invention relates to a CT or PET-CT intelligent positioning scanning method, in particular to a CT or PET-CT intelligent positioning scanning method with a monocular camera. Background technique [0002] The basic principle of computerized tomography (Computed Tomography) is image reconstruction. According to the characteristic of X-ray absorption by various human tissues (including normal and abnormal tissues), a selected layer of the human body is divided into many small cubes ( Also known as voxel) After X-rays pass through a voxel, the measured density or gray value is called a pixel. The X-ray beam passes through the selected layer, and the detector receives the sum of the attenuation values ​​of the voxels arranged along the direction of the X-ray beam after absorbing the X-ray, which is a known value, and the X-ray attenuation value of each voxel forming the total amount is For unknown values, when the X-ray source and the detector move rel...

AI Technical Summary

Problems solved by technology

However, this technology cannot achieve intelligent recognition and real-time automatic frame selection of human body parts; at the same time, relying on preset parameters in the conversion of pixels and real space scales cannot achieve parameter self-calibration under different hardware environments, and it is difficult to overcome differences in camera types and non-standard Errors due to linear imaging distortion

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