13 results about "Pet scanner" patented technology

A method for determining a convolution kernel for an iterative statistical algorithm based on a continuous-to-continuous data model. The method is used for image reconstruction from radiation measurements obtained in emission tomography, specifically in a Time-of-Flight Positron Emission Tomography (TOF PET) scanner. The presented method is a non-list-mode solution that reduces the computational complexity of the reconstruction problem, improves the resolution of reconstructed images, reduces the radiation dose absorbed by patients during TOF PET examinations, and / or shortens the measurement acquisition time without significantly compromising the quality of the diagnostic images. Notably, the quality of the functional images remains at the same level. These improvements are achieved by designing the convolution kernel to account for the statistical properties of the measurement signals registered during the TOF PET scanner's acquisition process.

A novel method is disclosed for obtaining transmission scan data in a PET scanner by incorporating one or more stationary gamma ray sources that provide forward scattered gamma photons that can be used as transmission imaging radiation.

The application relates to the technical field of image processing, and discloses a PET image enhancement method and device, computer equipment and a storage medium. The method comprises the following steps: acquiring a PET image to be reconstructed and measurement data, wherein the measurement data refers to sinogram data formed after signal data collected by a PET scanner is subjected to attenuation and scattering correction; and finally, based on the PET image, the sinogram data, a trained convolutional neural network and an EM fidelity algorithm, the PET image is reconstructed to obtain a target PET image. According to the application, a convolutional neural network for denoising is first trained based on a diffusion model theory on a high-quality (a high-quality PET image of a conventional dose) image, and then based on the trained model, high-quality image reconstruction is performed under the guidance of the PET image to be reconstructed and an EM fidelity algorithm.

The disclosure relates to a device and positron emission tomography (PET) scanner for acquiring a PET image and a system for generating the PET image. The disclosure describes a device that may have one or more moveable portions. The device may comprise an upper portion and a lower portion. The upper portion and lower portion define a cavity for a patient. At least one of the upper portion or the lower portion may be movable. The upper and lower portions may comprise a cap and wings, respectively, At least one of the caps and / or wings may comprise one or more detection modules. The wings may also move with respect to a corresponding cap.

Systems, methods, and devices provide data correction for positron emission tomography (PET) examinations using an external, supplemental radioactive source. The supplemental radioactive source is formed of a uniformly distributed radionuclide. The uniformly distributed radionuclide is positioned in a support structure which is positioned into an inner bore of a PET scanner and secured in place by a friction fit, or directly integrated into the PET system. A transmission source control system moves the one or more 2024 / 059537 transmission sources into the support structure for performing the PET examination (e.g., using a hydraulic system). The transmission source control system also retracts the one or more transmission sources back into a source storage device upon completing the PET examination. Various data correction algorithms use the first PET signal data, originating from a radiotracer injected in the patient, and second PET signal data, originating from the uniformly distributed radionuclide.

The present disclosure relates to reconstructing positron emission tomography (PET) images. The approach may involve receiving measured sinogram data from one or more scans by a PET scanner. The measured sinogram data may represent measured projections from the PET scanner. The approach may involve performing forward rendering to generate a rendered sinogram. Forward rendering may comprise sampling a number of positions corresponding to each crystal detector in a plurality of crystal detectors. The positions may define lines of response (LORs) between crystal pairs. The approach may involve performing inverse rendering based on the measured sinogram data and the rendered sinogram. Inverse rendering may comprise applying auto-differentiation for gradient-based optimization. The rendering may be performed iteratively to update pixel values of an emission image until a stopping criterion. A reconstructed PET image based on the updated emission image may be output following the stopping criterion being satisfied.

A method for determining a convolution kernel for an iterative statistical algorithm based on a continuous-to-continuous data model for image reconstruction from radiation measurements obtained in emission tomography, specifically in a Positron Emission Tomography (PET) scanner. The method improves the resolution of reconstructed images, reduces the radiation dose absorbed by patients during PET examinations, and / or shortens the measurement acquisition time without significant loss in the quality of the diagnostic images obtained. Specifically, the quality of the functional images remains at the same level. These improvements are achieved through the design of the convolution kernel, which takes into account the statistical properties of the measurement signals registered during the acquisition process in the PET scanner.

Systems and methods for estimating mean randomness include: acquiring list pattern data describing true and delayed coincidences detected by a positron emission tomography (PET) scanner during a scan of an object; determining, based on the list pattern data, delayed coincidences including said crystals for each crystal of the PET scanner and for each of a plurality of time periods of the scan; for each crystal, determining a single event rate associated with each time period based on the delayed coincidences determined for the crystal within the time period; for each time period, determining an estimated mean randomness for each of a plurality of crystal pairs based on the single event rate associated with the time period for each crystal of the crystal pair; and reconstructing an image of the object based on the estimated mean randomness for each time period and the detected true coincidences.

Various systems and computer-implemented methods for background radiation-based attenuation correction are disclosed. First set of nuclear scan data and first background radiation data are received, the first set of nuclear scan data including first scan data associated with a first imaging modality having a long axis field of view, and a first background radiation attenuation map is generated by applying a trained machine learning model to the first background radiation data. First set of attenuation corrected scan data is generated by performing attenuation correction of the first scan data based on only the first background radiation attenuation map, and a first image is reconstructed from the first set of attenuation corrected scan data. The disclosed background radiation-based attenuation correction can be used for longer duration scans, repeated scans, and / or low dose clinical applications, such as pediatric applications, theranostics, and / or other suitable applications.

A PET imaging system includes BGO crystals that generate Cherenkov photons in response to excitation by photons from positron annihilation events and photosensors configured to detect the Cherenkov photons and generate signals indicative thereof, an LOR determiner configured to identify, based on the signals, coincident photon pairs along each LOR, a TOF determiner configured to determine a timing resolution for each of the coincident photon pair along each LOR, an accuracy determiner configured to bin the LORs, based on the timing resolutions, into at least higher accuracy TOF LORs and lower accuracy TOF LORs, a reconstructor configured to reconstruct the higher accuracy TOF LORs using models and generate volumetric image data, and a model adjuster configured to adjust at least one model of the models based on the volumetric image data. The reconstructor is configured to reconstruct at least a subset of the LORs using the updated models.

This invention belongs to the field of nuclear medicine imaging technology, specifically relating to a PET myocardial blood flow quantitative optimization method, including the following steps: determining the shortest effective acquisition time: for specific types of research subjects and pathophysiological states, the injection time is determined through experimental analysis. 18 After F-Flurpiridaz, the shortest effective acquisition time required to achieve stable myocardial blood flow (MBF) quantification is achieved; an optimized acquisition protocol is implemented; image reconstruction and MBF quantification are performed based on the optimized acquisition time; results are verified and reported. This invention significantly improves scanning and quantification efficiency: by shortening the effective acquisition time by 2-7 minutes, the occupancy time of the PET scanner can be substantially reduced while ensuring data quality, increasing equipment turnover and enabling more subjects to be examined within the same time period.

Provided is a medical imaging scanner system such as a PET scanner system having a patient bed pallet that is provided with at least one multi-axis motion sensor for monitoring the movement of the patient bed pallet and detecting any deviation in the orientation of the patient bed pallet from a predetermined desired orientation during the movement.

A device for the detection of gamma rays to be used primarily in a PET scanner is based on a scintillator heterostructure combining the high stopping power of scintillators commonly used in PET scanners (such as L(Y)SO, BGO, etc.) and fast scintillators based on polymers loaded with fast emitting dyes or nanocrystals, or thin layers of nanocrystals or multiple quantum well structures. While the metascintillator block is read out in the monolithic or semi-monolithic arrangement, the fast scintillator is segmented so that it is read out by less photodetectors. The particular arrangement of this detector module allows combining all the important features of a high-performance Time-of-Flight PET (TOFPET) detector module, i.e. a high photoelectric detection efficiency for the gamma rays, a precise 3D information (including the depth of interaction DOI) of the gamma ray conversion in the module, good energy resolution and superior timing resolution.