18 results about "Positron emission tomographic imaging" patented technology

The present invention relates to novel, selective compounds with affinity to TDP-43, and to novel, selective radiolabelled TDP-43 ligands which are useful for imaging TDP-43 aggregates, using positron-emission tomography (PET). The invention is also directed to compositions comprising such compounds, to processes for preparing such compounds and compositions, to the use of such compounds and compositions for imaging TDP-43 aggregates in a tissue or a subject, in vitro or in vivo, and to precursors of said compounds.

The present invention relates to novel, selective compounds with affinity to TDP-43, and to novel, selective radiolabelled TDP-43 ligands which are useful for imaging TDP-43 aggregates, using positron-emission tomography (PET). The invention is also directed to compositions comprising such compounds, to processes for preparing such compounds and compositions, to the use of such compounds and compositions for imaging TDP-43 aggregates in a tissue or a subject, in vitro or in vivo, and to precursors of said compounds.

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.

The invention belongs to the technical field of PET (positron emission tomography), and relates to a PET probe extensive field image multi-model adaptive deformation and FPGA (field programmable gate array) curing method, which comprises the following steps of: acquiring single-lift event data of a PET probe; generating an original extensive field image based on the single-lift event data; performing coordinate traversal transformation on the original extensive field images by adopting an image deformation model in a preset multi-model transformation library; performing off-line analysis on each model and the parameters thereof in the multi-model transformation library by utilizing a preset evaluation index, and screening out an optimal model and an optimal parameter; and transforming the original pan-field image by using the optimal model and the optimal parameters to generate an enhanced image and a crystal position lookup table, and solidifying the enhanced image and the crystal position lookup table to the FPGA. The method has the beneficial effects that the local adhesion area can be stretched in a targeted manner through the nonlinear transformation model, the distinction degree of crystal event clusters is remarkably improved, and the LUT calibration precision is fundamentally improved.

The application relates to the field of positron emission tomography technology, in particular to a multi-channel high-precision PET circuit acquisition system and a use method thereof, and the system comprises the following: an FPGA control board, which is used for controlling bias voltage programming output voltage values, controlling current programming output voltage values and current values according to DAC bias voltage values received from an upper computer, and sending DUT board configuration information received from the upper computer to a DUT board; and the DUT board, which comprises multi-channel high-precision PET circuits, each circuit is configured through an SPI protocol according to DUT board configuration information received from the upper computer, 16 channels are adopted to collect time electric signal information output by a PET detector, and 64 channels are adopted to collect energy electric signal information output by the PET detector. In the application, the multi-channel high-precision PET circuit acquisition software and the hardware of the control system are portable, the upper computer software program is programmable, and the operation is simple.

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.

Compounds and their use for imaging a disease, condition, or disorder associated with one or more Complement system pathways are disclosed.

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.

The invention belongs to the technical field of positron emission tomography, and relates to a PET probe extensive field image dot matrix self-adaptive recognition and anomaly detection method, which comprises the following steps: acquiring an original extensive field image of a PET probe and preprocessing the original extensive field image; performing global projection and peak searching based on the pre-processed extensive field image, and counting the number of projection peak values; judging whether the number of the projection peak values accords with expectation or not; on the basis of the number of projection peak values conforming to expectation, performing global adaptive grid division on the preprocessed image to obtain a plurality of sub-image regions; performing local bidirectional projection and Gaussian fitting on each sub-image area, and determining a positioning coordinate set of each point in the crystal array; and based on the positioning coordinate set, performing anomaly detection to generate a quality inspection report. The method has the beneficial effects that the adaptability is high, the method does not depend on a prior template, an accurate geometric template does not need to be provided during image quality screening, the dot matrix scale is automatically estimated by analyzing extensive field image data, and the universality and deployment convenience of the method are improved.

A method may include receiving a positron emission tomography (PET) scan depicting a plurality of cancer cells. One or more lesions depicted in the positron emission tomography (PET) scan can be identified. A provenance cell classification model can be applied to determine provenance cells for each lesion depicted in the positron emission tomography (PET) scan. A molecular subtype profile for the plurality of cancer cells depicted in positron emission tomography (PET) can be determined based at least on origin cells of a single lesion depicted in the positron emission tomography (PET) scan. The molecular subtype profile can include overall origin cells of the plurality of cancer cells and / or proportions of lesions with each possible origin cell. Related systems and computer program products are also provided.

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.

The invention provides a method of preparing a 89Zr-oxine complex of the formulaThe invention also provides a method of labeling a cell with the 89Zr-oxine complex and a method for detecting a biological cell in a subject comprising administering the 89Zr-oxine complex to the subject.

The invention provides a PET image reconstruction method based on stream matching and a medical image system, and relates to the technical field of image reconstruction, and the method comprises the steps: obtaining sinogram measurement data, and obtaining a likelihood function of the sinogram measurement data; obtaining mapping of Gaussian noise distribution in sinogram measurement data to positron emission tomography (PET) image data distribution through a generative model, and taking the Gaussian noise distribution as prior distribution of an initial noise space; based on the Bayesian theorem and mapping, combining the prior distribution with a likelihood function to obtain posterior distribution of the initial noise space; sampling the posterior distribution to obtain a posterior sample; and mapping the posterior sample back to the image space to obtain a posterior sample of the image space, and obtaining a minimum mean square error estimation value based on the posterior sample as a mean value of the final PET reconstructed image. The method disclosed by the invention shows excellent performance in high-difficulty scenes such as low-count PET reconstruction and the like, and meanwhile, uncertainty quantization of a reconstructed image can be realized.

The invention discloses a positron emission tomography device for a head. The positron emission tomography equipment comprises a movable rack which is configured to move controllably, and a lifting mechanism and a rotating mechanism are arranged in the movable rack; the head detection module is connected with the movable rack; the lifting mechanism and the rotating mechanism are configured to controllably adjust the position and / or angle of the head detection module. The device can flexibly adapt to various body positions such as the standing posture, the sitting posture and the lying posture of a patient, so that examination of special patients becomes possible, and the application range of detection is widened.

Disclosed herein are compounds, and salts thereof, which inhibit Receptor Interacting Protein Kinase 1 (RIPK1). Also disclosed are compounds which may act as positron emission tomography (PET) ligands, pharmaceutical formulations, and methods of detection and evaluation of treatment for diseases associated with RIPK1.

A dual-ended readout positron emission tomography (PET) detector, a method for determining photon information, and a PET imaging device are provided. The dual-ended readout PET detector includes a crystal array, a first processing unit, and a second processing unit. The crystal array includes a plurality of crystal units. The first processing unit is disposed at a first end of the crystal array. The second processing unit is disposed at a second end of the crystal array, and the first end and the second end are disposed opposite to each other. Each of the plurality of crystal units includes a side surface between the first end and the second end, and the side surfaces of at least two of the plurality of crystal units have different optical conductivities.

The invention discloses a positron emission tomography device. The positron emission tomography apparatus includes: a gantry; the at least one detection module is connected to the rack; the sliding mechanism is connected with at least one of the detection modules, and the sliding mechanism is configured to controllably drive the detection modules to move according to a preset direction; and the anti-falling mechanism is connected with the sliding mechanism and the detection module, and the anti-falling mechanism is configured to limit the detection module by adopting a pneumatic principle when the detection module falls. According to the invention, the precise sliding mechanism, the detection module and the rack main body structure can be effectively protected, mechanical damage, precision loss or functional faults caused by impact are prevented, and the accuracy of scanning positioning and the stability of image acquisition are ensured.