Shenyang Neusoft Medical Systems Co., Ltd.

Shanghai Neusoft Medical Technology Co., Ltd.

Neusoft Medical Systems Co., Ltd.

Shenyang Intelligent Neuclear Medical Technology Co., Ltd.

Shaolian Liu

Zhipeng Sun

Ming Li

Yunda Li

Jie Chang

Peng Gao

Dong Han

Ruibing Ma

Methods, devices and apparatus for reconstructing a PET image are provided. According to an example of the method, a PET initial image may be reconstructed from PET data obtained by scanning on a target object with a PET device, and an MRI image may be reconstructed from MRI data obtained by scanning on the target object with a MRI device, a fusion image retaining only a boundary of the target object is generated based on the PET initial image and the MRI image, and a PET reconstructed image is obtained by combining the PET initial image with the fusion image, where the definition of the boundary of the target object in the PET reconstructed image is higher than that in the PET initial image.

Systems and methods for a PET image reconstruction device

Methods, devices and apparatus for reconstructing an image are provided. According to an example of the method, scanning data is obtained for a scanned subject, an initially-updated image is reconstructed from the scanning data, image boundary prior information is generated by performing at least two sparse transforms on the initially-updated image, and a reconstructed image is obtained by performing a weighted reconstruction with the image boundary prior information and the initially-updated image.

Reconstructing images

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, 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 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.

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 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.

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Shenyang, China

Shaolian Liu