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

Abstract

The application discloses an image reconstruction method, a training method, a device, a device and a storage medium. The image reconstruction method includes: performing back-projection processing on a plurality of image data frames to be reconstructed obtained from target object detection to obtain a plurality of first intermediate images; performing inter-frame motion correction processing on the plurality of first intermediate images to obtain a plurality of frames The second intermediate image: using the image reconstruction network model to perform intra-frame motion correction processing on multiple frames of the second intermediate image to obtain a final reconstructed image. The application also discloses a training method and device for an image reconstruction network model, computer equipment, an image processing system, and a computer-readable storage medium. The scheme of the embodiment of the present application establishes the mapping relationship between the blurred image obtained from direct back projection and inter-frame motion correction and the image without motion artifacts in a static state, so as to obtain a high-quality reconstructed image for a moving imaging target. At the same time, it has the advantage of fast calculation speed.

Description

technical field [0001] The present application relates to the technical field of image processing, and 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 apparatus and training apparatus, computer equipment, image processing system and computer-readable storage medium. Background technique [0002] Positron Emission Tomography (PET) technology is one of the most cutting-edge molecular imaging technologies in the world. It can non-invasively, quantitatively and dynamically evaluate by imaging radionuclide-labeled compounds in living organisms. The metabolic levels, biochemical reactions and functional activities of various functional organs in the organism have high sensitivity and accuracy. [0003] PET works by labeling a positron-emitting radionuclide to a compound that can participate in the blood flow or metabolic process of living tissue, ...

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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