Shenyang Neusoft Medical Systems Co., Ltd.

Shanghai Neusoft Medical Technology Co., Ltd.

The Institute of Metal Research

Shenyang Intelligent Neuclear Medical Technology Co., Ltd.

Ming Li

Zhipeng Sun

Shaolian Liu

Jie Chang

Yue Liu

Peng Gao

Lin Zhang

Jinsheng Chen

Dong Han

Ruibing Ma

Tianying Xiong

Tiefan Li

Han Xu

Jie Wu

Huazi Jin

Zhichao Jiang

Minjie Wu

A radioactive source and preparing as well as applying methods are disclosed. According to the method of preparing the radioactive source, when a preset dose of a radiopharmaceutical with a half-life shorter than a preset threshold is provided, a solid radioactive source having a predetermined shape may be obtained by mixing and moulding the radiopharmaceutical with a preset solution and a moulding material. The moulding material may comprise a curing agent and/or a water-absorbing material.

Preparation method of radioactive source

Methods, devices and systems for correcting a count loss in a Position Emission Computed Tomography (PET) system are provided. In one aspect, a method includes: constructing a virtual system including a plurality of virtual crystals, determining, for each of virtual Lines of Response (LORs) in the virtual system, a plurality of real LORs corresponding to the virtual LOR in the PET system, each of the real LORs corresponding to a scanning state of the PET system with a continuous incremental scanning mode, determining a count loss correction factor of the corresponding real LOR in each of the scanning states, determining a count loss correction factor of the virtual LOR according to the determined count loss correction factors of the plurality of real LORs corresponding to the virtual LOR, and performing count loss correction for the virtual LOR according to the determined count loss correction factor of the virtual LOR.

Correcting count loss in pet system

Methods and devices for detecting consistency between an invisible radiation field and a visible light field are provided. In an example, the method includes: an invisible radiation field is obtained by controlling a size of an opening of a beam limiting device; a first projection image is captured by an Electron Portal Imaging Device (EPID) as a distribution map of the invisible radiation field; a visible light field is obtained by turning on a light field lamp without changing the size of the opening of the beam limiting device; a phantom is positioned at each of vertices of the visible light field; a second projection image is captured by the EPID as a vertex distribution map of the visible light field; and deviation information between the invisible radiation field and the visible light field is determined according to the distribution map of the invisible radiation field and the vertex distribution map of the visible light field.

Detecting consistency between radiation field and light field

Methods, devices and apparatus for reconstructing an image are provided. In an aspect, a method includes: obtaining coincidence events detected by crystal pairs in a detector of a PET device by scanning a phantom, reconstructing a phantom image according to the coincidence events, and obtaining a time calibration amount of each of crystals in the detector by determining a crystal based source position deviation and a crystal based source time difference of a crystal pair including the crystal according to the phantom image, determining a time difference of the crystal pair according to respective time differences for the crystal pair detecting a plurality of coincidence events, pre-calibrating the time difference of the crystal pair with the crystal based source time difference, and obtaining the time calibration amount of the crystal according to the pre-calibrated time difference of the crystal pair.

Reconstructing image

Methods, devices, and systems for reconstructing Positron Emission Computed Tomography (PET) images are provided. In one aspect, a method includes: for each of coincidence events including at least one true coincidence event and at least one scattering coincidence event, determining an emission path of the coincidence event according to photon information of the coincidence event, the photon information of the coincidence event including time data, position data, and angle data of each of two photons involved in the coincidence event, determining an annihilation position of the coincidence event according to the emission path of the coincidence event and the time data of each of the two photons involved in the coincidence event, and reconstructing a PET image according to the annihilation position, the emission path and the photon information of each of the coincidence events.

Reconstructing PET image

A method of reconstructing an image that may include in at least one example: determining coincidence events based on detection by a detector during a continuous incremental scanning; determining an axial position for each of the coincidence events; storing data for each of the coincidence events including the axial position in a list mode; sorting the data for each of the coincidence events according to a spatial order; and obtaining an image by performing iterative reconstruction with the sorted data for each of the coincidence events.

Reconstructing an image

Method, systems and machine-readable storage mediums for reconstructing images are provided. In one aspect, a method includes: acquiring data of a response line, the data including an actual energy parameter of each of photons in a photon pair corresponding to the response line, the actual energy parameter being detected by a detector and within a preset energy range, determining an energy factor of the response line according to the actual energy parameter of each of the photons in the photon pair and a theoretical energy parameter of the photon, obtaining a system parameter according to the energy factor, the system parameter including an element indicating a probability that a photon pair generated in a region of a subject corresponding to an image voxel is received by the detector, constructing a system response model with the system parameter, and reconstructing an image based on the system response model.

Methods for correcting a count loss and PET systems are provided according to examples of the present disclosure. In one aspect, the PET system obtain scanning data of a subject to be detected for which random correction has been performed, obtain a first correction factor corresponding to the true coincidence count according to the single-photon count rates of the two Blocks corresponding to the true coincidence count, obtain a second correction factor corresponding to the true coincidence count according to the system single-photon count rate, and correct the true coincidence count according to the first correction factor and the second correction factor corresponding to the true coincidence count.

Correcting count loss

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. A PET image may be reconstructed according to the diffusion relationship.

Reconstructing pet image

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.

Determining PET scanning time

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.

Reconstruction and combination of pet multi-bed image

The present invention relates to a method of surface treatment of metallic materials, more particularly, to a method of the surface self-nanocrystallization of metallic materials by the bombarding of supersonic fine particles. The method comprises the step of bombarding the surface of metallic substrate material with fine particles at supersonic speed of 300-1200 m/s carried by a compressed gas, which is ejected from a nozzle. The present method can be used for the surface self-nanocrystallization of metallic parts with a complicated structure or a large area, and the nanometer layer obtained is homogeneous. In addition, it can be operated in a simple way with low energy consumption, low cost, high efficiency of production and high surface nanocrystallization rate of from 1 cmto 10 cm/min.

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Shenyang, China

Ming Li