Image reconstruction method, training method, device, equipment and storage medium

Abstract

The invention discloses an image reconstruction method and device, a training method and device, equipment and a storage medium. The image reconstruction method comprises the following steps: performing back projection processing on a plurality of to-be-reconstructed image data frames obtained by detecting a target object to obtain a plurality of frames of first intermediate images; performing inter-frame motion correction processing on the plurality of frames of first intermediate images to obtain a plurality of frames of second intermediate images; and performing intra-frame motion correction processing on the multiple frames of second intermediate images by using the image reconstruction network model to obtain a final reconstructed image. The invention further discloses a training method and device of the image reconstruction network model, computer equipment, an image processing system and a computer readable storage medium. According to the scheme, the mapping relation between the blurred image obtained after direct back projection and inter-frame motion correction and the image without motion artifacts in the static state is established, the high-quality reconstructed image is obtained for the moving imaging target, and meanwhile the method has the advantage of being high in calculation speed.

Description

technical field [0001] The present application relates to the technical field of image processing, in particular to an image reconstruction method and a training method for an image reconstruction network model. The present application also relates to related image reconstruction devices and training devices, computer equipment, image processing systems and computer-readable storage media. Background technique [0002] Positron Emission Tomography (PET) technology is currently one of the most advanced molecular imaging technologies in the world. It can non-invasively, quantitatively and dynamically assess Metabolic levels, biochemical reactions and functional activities of various functional organs in organisms, with high sensitivity and accuracy. [0003] The working principle of PET is to label positron-emitting radionuclides on compounds that can participate in the blood flow or metabolic processes of living tissues, and inject the compounds labeled with radionuclides in...

AI Technical Summary

Problems solved by technology

At the same time, with the movement of the imaging target, part of the LOR corresponding to the reference position may move out of the detection area, resulting in data loss

Part of the data in each data frame that cannot be mapped to the final projection data will be lost, affecting the quality of the reconstructed image and the accuracy of quantitative analysis

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