Imaging method and device applied to cone beam CT sparse sampling

Abstract

The invention provides an imaging method and device applied to cone beam CT sparse sampling, a medium and a program product. The imaging method applied to cone beam CT sparse sampling comprises the following steps: determining a plurality of current imaging targets; splitting the original projection data into a plurality of original projection sub-data according to a plurality of current sampling rate requirements respectively corresponding to the plurality of current imaging targets; and performing imaging corresponding to each current imaging target in the plurality of current imaging targets according to the plurality of original projection sub-data by using a deep neural network model. Compared with an existing traditional scheme which can cause the problem of error amplification through a cyclic interpolation mode, the method can directly amplify subdivision position projection, meanwhile, a residual error and structural similarity double-constraint neural network model is combined, the fidelity of an amplified projection image is enhanced, the imaging speed and the image processing speed are greatly improved, and the image processing efficiency is improved. And under the condition of meeting low-dose irradiation, the signal-to-noise ratio, the structural similarity and the overall image quality of the reconstructed image are remarkably improved.

Description

technical field [0001] The present disclosure relates to the technical field of medical imaging, and in particular to an imaging method, device, medium and program product applied to cone-beam CT sparse sampling. Background technique [0002] Computed tomography (CT) is one of the key imaging technologies in the field of medical imaging, widely used in radiology, oral imaging, image-guided surgery, image-guided radiotherapy and other fields. CT imaging requires X-rays, and excessive X-ray radiation will bring safety risks to human health. Therefore, low-dose CT has great health significance and is also one of the important directions for the development of CT technology. [0003] Cone-Beam Compute Tomography (CBCT for short) onboard a radiotherapy accelerator, as a key supporting technology for Image-guided Radio Therapy (IGRT for short), can not only quickly provide three-dimensional tomographic images of patients, but also can Six-dimensional (6Degree-of-Freedom, referred...

AI Technical Summary

Problems solved by technology

However, the image processing speed of this technical solution is still slow, and it is difficult to perform faster processing on the imaging of different body parts of the patient.

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