Abstract: Methods, devices, and apparatus, including computer programs encoded on a computer storage medium for reconstructing image are provided. In one aspect, a method of reconstructing image includes obtaining scanning data for a subject in a continuous incremental scanning of medical equipment including real crystals for detection, associating each of the real crystals with one or more virtual crystals in a virtual scanning system, determining delay random coincidence data of two virtual crystals connected by a response line in the virtual scanning system, obtaining random coincidence data by denoising the delay random coincidence data based on crystal receiving efficiency for each of the real crystals, and reconstructing an image with the scanning data by taking the random coincidence data into account.

Abstract: A PET image reconstruction method and device are provided. According to an example, a first diffusion expression representing a diffusion degree of projection data from a first incident point to a first crystal may be obtained with a first diffusion distribution, a second diffusion distribution, a point source position and position information of the first crystal in a projection direction. A second diffusion expression representing a diffusion degree of projection data from a second incident point to a second crystal may be obtained with the first diffusion distribution, the second diffusion distribution, the point source position and position information of the second crystal in the projection direction. A diffusion relationship representing a correspondence relationship between the point source position and projection data in the projection direction may be obtained with the first diffusion expression and the second diffusion expression.

Abstract: A method for reconstructing a PET multi-bed image is provided, which may be applied to a PET scan having an axial overlapping region existed between every two adjacent beds. According to an example of the method, a combined set of PET projection data for at least two beds may be obtained by combining a set of PET projection data for at least two successive beds together in such a manner that two sets of PET projection data corresponding to an axial overlapping region between every two adjacent beds are added up. And then, a PET image for at least two beds may be reconstructed based on an image reconstruction iteration model and the combined set of PET projection data for the plurality of beds.

Abstract: A method and apparatus for determining PET scanning time are provided. According to an example of the method, a CT image is divided into multiple single-bed CT images according to bed information of bed positions for a PET scan, wherein the CT image is obtained by performing a CT scan on a subject of the PET scan, and a one-to-one corresponding relation exists between the multiple single-bed CT images and all of the beds. A residual true coincidence count ratio is estimated for each of the beds based on corresponding single-bed CT image of the bed, and then a scanning time proportion for each of the beds may be determined based on each of the residual true coincidence count ratios for the beds.

Abstract: Provided herein are methods and compositions for rapid assembly of genetic modules, as well as seamless transition from in vitro to in vivo testing of genetic constructs.

Abstract: An attenuation correction method and device for an image in a PET system. The method includes: acquiring transmission scanning sinogram data from a PET apparatus; reconstructing the transmission scanning sinogram data with Bayesian model-based Ordered Subset Expectation Maximization (OSEM-B) algorithm and Filtered Back Projection (FBP) algorithm, to obtain an OSEM-B attenuation image and a first FBP attenuation image respectively; performing a weighted calculation on the OSEM-B attenuation image and the first FBP attenuation image to obtain an effective attenuation image; and performing attenuation correction on emission scanning sinogram data from the PET apparatus by using an attenuation sinogram generated based on the effective attenuation image.

Abstract: An attenuation correction method and device for an image in a PET system. The method includes: acquiring transmission scanning sinogram data from a PET apparatus; reconstructing the transmission scanning sinogram data with Bayesian model-based Ordered Subset Expectation Maximization (OSEM-B) algorithm and Filtered Back Projection (FBP) algorithm, to obtain an OSEM-B attenuation image and a first FBP attenuation image respectively; performing a weighted calculation on the OSEM-B attenuation image and the first FBP attenuation image to obtain an effective attenuation image; and performing attenuation correction on emission scanning sinogram data from the PET apparatus by using an attenuation sinogram generated based on the effective attenuation image.