7 results about "Positron emission tomographic imaging" patented technology

This application discloses a three-dimensional dose reconstruction method and related equipment based on in-beam positron emission tomography (PET) data. The method includes: acquiring list-pattern data during proton therapy beam exit; performing conformation processing on the list-pattern data and reconstructing a three-dimensional activity distribution map; performing multi-nucleus dynamic deconvolution processing on the activity time series corresponding to the three-dimensional activity distribution map according to the physical half-life of the target nuclide and preset biological elution parameters to obtain the initial activity distribution corresponding to the target nuclide; mapping the initial activity distribution to a three-dimensional relative dose distribution using a preset dose mapping algorithm; converting the three-dimensional relative dose distribution into a three-dimensional absolute dose distribution according to a pre-established water phantom calibration curve; and generating a cumulative dose distribution report based on the three-dimensional absolute dose distribution. The embodiments of this application can reconstruct the three-dimensional absolute dose distribution with high accuracy and support inter-session dose accumulation analysis. This application can be widely applied in the field of dose reconstruction technology.

This invention discloses a PET image reconstruction method and system based on manifold prior constraints, belonging to the field of medical image reconstruction and intelligent information processing technology. It acquires historical PET image datasets and PET measurement data from positron emission tomography (PET), constructs a data consistency term based on a Poisson statistical model, and introduces the image manifold prior into the PET image reconstruction optimization model. The optimization model is solved using an alternating iterative approach based on variable splitting, including data consistency updates, manifold projection updates, and dual variable updates. Finally, the reconstructed PET image is output. This invention organically combines the PET imaging physical model with data-driven prior generation, which is beneficial for improving reconstructed image quality, suppressing noise, and preserving structural details in low-dose PET imaging scenarios.

The present application relates to a kind of low-dose PET image enhancement method and system, belong to medical and industrial field positron emission tomography (PET) imaging, for solving prior art using anatomical structure information MR image as prior information when low-dose PET image data is generated normal dose PET image, effect is not good.This scheme is obtained from MR image and spatial anatomical arrangement information through spatial transformation anatomical structure spatial characteristics, by first using anatomical structure spatial characteristics with low-dose PET image characteristics to realize the adaptive enhancement of spatial region information and different modal fusion, to improve the anatomical structure display quality of low-dose image data, improve anatomical structure definition, provide effective reference for clinical diagnosis, reduce tracer usage, reduce economic cost, reduce patient radiation burden.

This specification relates to a method, apparatus, and device for reconstructing PET images. The method includes: acquiring a positron emission tomography (PET) image to be reconstructed; inputting the PET image into a pre-trained degradation pattern recognition model to obtain degradation pattern information of the PET image; inputting the PET image and the degradation pattern information into a pre-trained reconstruction model to obtain a reconstructed PET image; wherein the reconstruction model uses the degradation pattern information as prior information to predict and remove degradation components of the PET image. By identifying and utilizing degradation pattern information, the reconstruction model can achieve reconstruction quality no less than that of multimodal fusion methods using only single-modal PET data. This fundamentally avoids registration errors and significantly reduces patient radiation exposure and examination costs.