54 results about "Positron emission" patented technology

Disclosed herein are methods and apparatus for acquiring positron emission (or PET) data in the presence of ionizing radiation causing PET detector afterglow. In one variation, the method includes adjusting a coincidence trigger threshold of a PET detector during a treatment session. In one variation, the method includes adjusting a gain factor used in positron emission data acquisition (e.g., a gain factor used to multiply and / or shift an output(s) of a PET detector(s)) during a treatment session. In some variations, a method for acquiring positron emission data during a radiation treatment session includes suspending communication between a PET detector and a signal processor of a controller for a predetermined period of time after a radiation pulse is emitted by a linear accelerator.

This invention discloses a method for improving fairness in federated learning for medical images, comprising: the k-th client among K clients acquiring a PET-CT image pair consisting of a positron emission tomography (PET) image and its corresponding computed tomography (CT) image; preprocessing the PET-CT image pair to obtain a preprocessed PET-CT image pair; and inputting the PET-CT image pair into a multimodal neural image tumor segmentation model W. k The model is trained in the process, and a multimodal neural image tumor segmentation model W is obtained by calculating the loss function. k gradient g k Using gradient g k Multimodal neural image tumor segmentation model W k Parameters are updated to obtain the preliminarily trained multimodal neural image tumor segmentation model W for the k-th client. k This invention addresses the technical problem in the existing qFedAvg aggregation method where quantization affects the accuracy of model parameters, leading to greater performance differences between clients and thus reducing the fairness of federated learning.

A compound or pharmaceutically acceptable salt thereof has at least one bis-phosphonate or bisphosphonate ester group, and a positron emitting radionuclide Po. The positron emitting radionuclide Po is attached to the at least one bisphosphonate or bisphosphonate ester group. The compound may be useful in a method of diagnosis of amyloidosis, such as cardiac amyloidosis.

The invention discloses a radioactive diagnosis medicine for targeting OPN as well as a preparation method and application of the radioactive diagnosis medicine. The radioactive diagnosis medicine comprises linear polypeptide and radionuclide, wherein the linear polypeptide is composed of 20 L-type amino acids and one D-type amino acid, and the radionuclide marks the linear polypeptide through a bifunctional chelating agent; the sequence of the linear polypeptide is as shown in SEQ ID NO. 1. In vivo, radionuclides in the medicine are concentrated to an atherosclerotic vulnerable plaque part through the targeting effect of the amino acid linear polypeptide, and imaging diagnosis is carried out on the atherosclerotic vulnerable plaque by utilizing a positron emission computed tomography technology of nuclear medicine.

A holding device (3) for a medical imaging device, in particular in the form of a positron emission tomography (PET) scanning device (1), is provided. A holding device (3) is used to hold a medical imaging phantom (2) in a defined position inside a detector ring (11) of a medical imaging device. The retaining device (3) is adapted to be attached to an axial end face (113; 114) of the detector ring (111). The invention further relates to a phantom unit comprising such a holding device (3) and a medical imaging phantom (2) and to a method for securing a quality standard for a medical imaging device (1) and for calibrating a medical imaging device (1).

The invention relates to an intelligent pipeline detector based on a positron emission particle tracer technology and a detection method, and the pipeline detector comprises a tracer particle putting module which is used for quantitatively putting tracer particles into a pipeline; the positron camera module is used for collecting positron pair annihilation events released by the tracer particles in a preset time window and generating multiple pieces of coincidence response line data; the tracer particle positioning module is used for calculating a midpoint between the data conforming to the response line, performing weighted aggregation to obtain an approximate intersection point set, and performing weighted clustering processing on the approximate intersection point set to obtain a final estimated position of the tracer particle; and the pipeline state visualization module is used for performing line connection according to the final estimated positions of the tracer particles to form a track curve of each tracer particle, comparing the track curve with the pipeline boundary image, identifying an abnormal area and performing visual display. According to the invention, the corrosion wear or deposition in the pipeline is visualized, and the corrosion wear or deposition degree is accurately measured.

Disclosed are compounds represented by the following structural formula (I): or a pharmaceutically acceptable salt thereof. The variables of structural formula (I) are described herein. The compound of the invention can be attached to chelating groups for radionuclide binding and are therefore suitable for radioimaging and / or radiotherapy applications, for example the disclosed compounds can be radiolabeled with a positron emitter such as 18F, 68Ga or 64Cu, and used for positron emission tomography (PET). Alternatively, the compounds can be radiolabeled with an alpha particle emitter such as 223 Ac, a beta particle emitter such as 67Cu or 177Lu, or an Auger electron emitter (e.g. 111In, 67Ga, 99mTc, 195mPt, 125I, 123I and 161Tb) for use as a radiotherapeutic.

The utility model relates to a die body and an imaging test system, the die body comprises a shell and a simulation organ, and the simulation organ is slidably connected with the shell. According to the mold body, the organ of a patient is simulated through the simulated organ, the simulated organ and the partition piece are arranged in the containing cavity of the shell, so that the containing cavity of the shell is divided into the first cavity and the second cavity, the first cavity is filled with liquid, the second cavity is filled with air, and the hydraulic pump drives the liquid in the first cavity to move; therefore, the simulated organ is driven to move, and human body organ movement is simulated. According to the die body, the hydraulic pump is adopted to drive liquid, and then the simulated organ is driven to move. Compared with existing motor driving, the die body is compatible with imaging equipment such as nuclear magnetic resonance equipment, positron emission nuclear magnetic resonance equipment and computed tomography equipment, interference on the imaging equipment is low, and the imaging result and the imaging accuracy of the imaging equipment are improved.

Systems and methods for motion estimation and correction in nuclear imaging systems are disclosed. In some examples, a processing device receives measurement data, such as positron emission tomography (PET) measurement data, from an image scanning system. The processing device applies a histo-imaging process to the measurement data and, based on applying the histo-imaging process to the measurement data, generates a histo-image. Further, the processing device applies a trained machine learning process to the histo-image and, based on applying the trained machine learning process to the histo-image, the processing device generates a short-frame image. The processing device also determines a position of a mass in the short-frame image, and generates motion data characterizing a motion of the mass based on the position. In some examples, a reconstructed image is generated based on the motion data.

The application discloses a method for imaging airtight inner cavity of an aero-engine by using a low-cost positron emission tomography device with good imaging quality, and the gamma photon detection mechanism of the positron emission tomography device comprises an embedded rotary flat plate detection device and a ring-shaped detection device; the ring-shaped detection device comprises a cylindrical mounting frame, and the inner wall of the cylindrical mounting frame is covered with second gamma photon detection crystals; the embedded rotary flat plate detection device comprises a mounting flat plate and a driving device for driving the mounting flat plate to rotate around the central axis of the ring-shaped detection device, and the mounting flat plate is provided with a plurality of first gamma photon detection crystals; the central angle of the cylindrical mounting frame corresponding to the first gamma photon detection crystals of the first detection crystal array is 60-90 degrees; and the diameter of the second detection crystal array is 1.6-2.6 times the distance between the first detection crystal array and the central axis of the ring-shaped detection device.

Systems and methods include acquiring a computed tomography image of a subject, determining a linear attenuation coefficient map based on the computed tomography image, acquiring positron emission tomography (PET) data of the subject, determining a tissue image of the subject based on the PET data, determining a scattered tissue image based on the tissue image and the linear attenuation coefficient map, and outputting the scattered tissue image. A scatter-corrected tissue image is determined based on the tissue image and the scatter tissue image, and the computed tomography image and the scatter-corrected tissue image are input to a trained neural network to generate a PET image.

An image acquisition apparatus includes a measurement unit and a processing unit. The processing unit, for each coincidence event in which a first detector and a second detector perform coincidence detection of a pair of gamma-ray photons generated by an electron positron annihilation event in a positron emitting radionuclide, assuming that the gamma-ray photon arriving at one detector is a gamma-ray photon arriving without being Compton scattered in a subject, and the gamma-ray photon arriving at another detector is a gamma-ray photon arriving after being Compton scattered in the subject, determines a position at which the gamma-ray photon is Compton scattered in the subject based on a detection position and a detection time of the gamma-ray photon by each of the first detector and the second detector and a position of the positron emitting radionuclide.

Systems and methods for generating synthetic attenuation correction maps (e.g., µ-maps), and for reconstructing images based on emission data and the synthetically generated attenuation correction maps, are disclosed. In some examples, a nuclear imaging reconstruction system receives emission data, such as positron emission tomography data, from an image scanning system. The nuclear imaging reconstruction system applies a segmentation process to the emission data and, based on the segmentation process, generates segmentation data characterizing a plurality of segments. Further, the nuclear imaging reconstruction system generates attenuation correction data that includes attenuation correction values for each of the plurality of segments. For example, based on the type of a particular segment (e.g., lung, heart, liver segments), the nuclear imaging reconstruction system assigns corresponding attenuation correction values. The nuclear imaging reconstruction system may reconstruct an image based on the emission data and the attenuation correction data.

An object of the invention is to generate a composite image similar to PET from a magnetic resonance (MR) image of a patient. One embodiment of the present invention provides a medical image generation method characterized by performing a step of acquiring a magnetic resonance (MR) image of a specific patient suspected of having a disease, generating a composite image similar to a positron emission tomography (PET) image from the MR image of the specific patient using a learned model, and generating a medical image based on the composite image. The learned model is obtained by learning an artificial intelligence model using an MR image of a patient diagnosed with the disease and a PET image corresponding to the MR image as learning data.

Compositions for identifying a pathogenic bacterial infection include a mannitol compound with one or more substituents including radioisotopes. These radiopharmaceuticals, such as a positron-emitting mannitol analogue, [18F]fluoromannitol ([18F]FMtl), are rapidly taken up by gram-positive and gram-negative bacteria such as E. coli, S. aureus, A. baumannii, S. epidermis, P. mirabilis, S. enterica, K. pneumonia, E. faecium, E. cloacae, and M. marinum, but not non-active infection sites such as sterile inflammatory sites, cancer sites, etc. Administration of these radiopharmaceuticals to and subsequent imaging of patients, e.g., via positron emission tomography (PET), enables detection of deep-seated and difficult to manage bacterial infections, such as osteomyelitis and prosthetic joint infection, or in patients with sickle cell disease. [18F]FMtl injection detects and differentiates infection rapidly. The radiolabeled mannitol compounds can be produced via nucleophilic substitution reactions that are deployable on commercially available synthesizers, facilitating straightforward and wide accessibility, and counteracting unnecessary antibiotic use.

A method may include determining a first region including a lesion within a first positron emission tomography and computed tomography (PET-CT) scan depicting a plurality of regions of a body. A first portion of the first PET-CT scan depicting the first region but not depicting a second region of the plurality of regions may be extracted to generate a second PET-CT scan having one or more initial dimensions. The one or more initial dimensions of the second PET-CT scan may be adjusted to one or more target dimensions by at least adding one or more voxels to the second PET-CT scan and determining a value for each of the one or more voxels added to the second PET-CT scan. A segmentation model may be trained based on a training data set including the second PET-CT scan adjusted to the one or more target dimensions.

A housing in an imaging apparatus is provided. The imaging apparatus may include a Magnetic Resonance (MR) component and a Positron Emission Tomography (PET) component that includes a plurality of detectors. The housing may include one or more enclosed spaces configured to accommodate the plurality of detectors of the PET component. Each of the one or more enclosed spaces is defined by one or more walls.

A method and apparatus for deep learning based motion detection in nuclear imaging systems. Systems and methods for detecting object movement within a medical image based on a trained deep learning process are disclosed. In some examples, an image processing system receives positron emission tomography (PET) measurement data and common modal measurement data from an image scanner. The image processing system generates a PET image and a common-mode image based on the PET measurement data and the common-mode measurement data, respectively. Further, the image processing system inputs the PET image and the common modal image to a first trained neural network and generates a first feature of the PET measurement data and a second feature of the common modal measurement data. The image processing system inputs the first feature and the second feature to a second trained neural network and generates displacement data characterizing a displacement between the first feature and the second feature. Based on the displacement data, the image processing system generates display data for display.

Methods and systems for medical imaging systems are provided. In one embodiment, a method for a medical imaging system includes: acquiring emission data during a positron emission tomography (PET) scan of a patient; reconstructing a series of live PET images while the emission data is being acquired; and tracking motion of the patient during the acquisition based on the series of live PET images. In this way, patient motion during a scan can be identified and compensated for via scan acquisition and / or data processing adjustments, resulting in diagnostic PET images that are reduced in motion artifacts and improved in diagnostic quality.

The present invention relates to compounds for imaging TAU protein aggregates, in particular to novel compounds of formula (II) which can be used for selective Tau detection in disorders and abnormalities associated with Tau aggregates such as Alzheimer's disease and other tauopathies by positron emission tomography (PET) imaging.

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 utility model relates to a positron emission tomography scanner, which belongs to the technical field of positron emission tomography scanners and comprises a scanner body, a mounting seat arranged outside the scanner body, a base arranged on the lower surface of the mounting seat, a supporting plate fixedly connected to the top of the base and a controller fixedly arranged outside the supporting plate. A rotating mechanism is arranged outside the mounting seat, a moving mechanism is arranged on the upper surface of the base, and the rotating mechanism comprises a gear ring rotationally mounted outside the mounting seat, a gear connected to the outside of the gear ring in a meshed mode, a driving motor fixedly mounted on the back of the mounting seat and a limiting assembly arranged on the back of the gear ring. According to the positron emission tomography scanner, the controller starts the driving motor to work to drive the gear to rotate, so that the gear rotates to be meshed with the gear ring, annular driving of the scanner body is achieved, all-directional scanning of a patient is achieved, the imaging quality and the diagnosis accuracy are improved, and the advantage of high scanning efficiency is achieved.

An image acquisition device (1A) is provided with a measurement unit (10) and a processing unit (20). For each coincidence counting event, that is, an event in which a pair of gamma-ray photons generated by an electron-positron pair annihilation event in a positron emission nuclide (81) is counted simultaneously by a first detector (11) and a second detector (12), a processing unit (20) has gamma-ray photons arriving at the second detector (12) after Compton scattering occurs within a subject (90). When the signal output by the first detector (11) and the signal output by the second detector (12) are lower than a first threshold value lower than 511 keV, the position of the positron emission nuclide (81) is detected selectively on the basis of the detection position and the detection time of the gamma ray photons and the position of the positron emission nuclide (81), respectively, detected by the first detector (11) and the second detector (12), and the position of the positron emission nuclide (81) is lower than a first threshold value lower than 511 keV. The position at which Compton scattering occurs in the subject (90) of the gamma ray photons is determined. This realizes an image acquisition device and an image acquisition method that can acquire a tomographic image representing anatomical information of a subject without performing image reconstruction processing.

This invention relates to a cyclic polypeptide molecular probe targeting neurocilia protein-1 (NRP-1), its preparation method, and its applications. The cyclic polypeptide molecular probe comprises the structure shown in Formula I or Formula II, where R1 is the structure shown in Formula III or Formula IV; and R2 is a radiolabeled nuclide or a radiolabeled nuclide including a bifunctional chelating group. The technical solution of this invention exhibits excellent targeting specificity and high sensitivity for NRP-1 protein, enabling visualization of NRP-1-highly expressing tumors (such as fibrosarcoma, lung cancer, pancreatic cancer, or breast cancer) and NRP-1-positive lesions (such as metabolic diseases, sclerotic lesions, or autoimmune diseases) on positron emission tomography (PET). It shows great promise in the early diagnosis of NRP-1-highly expressing malignant tumors and in guiding clinical NRP-1 monoclonal antibody treatment regimens.

A single-domain monoclonal antibody with high affinity for the tumor antigen glypican-3 (GPC3), which was functionalized with a chelating group and radiolabeled with a positron-emitting radionuclide (18F), is described. The radiolabeled GPC3-specific single-domain antibody exhibited an exceptionally high tumor to liver binding ratio, enabling its use to accurately detect GPC3-positive liver tumors, such as hepatocellular carcinoma (HCC). The radiolabeled GPC3-specific single-domain antibody can be used, for example, as an imaging agent in positron-emission tomography (PET)-based detection of GPC3-positive tumors.

A method for creating a quantitative positron emission tomography (PET) image of a subject or object comprises recording correction information data with an imaging device; transmitting the correction information data to a first evaluating unit which includes at least one of preparing an attenuation map on based on the correction information data and passing on the attenuation map as checking data to a second evaluating unit or sending the correction information data as checking data to the second evaluating unit; assessing the checking data based on a quantity of reference data and detecting possible artifacts in the checking data by way of the second evaluating unit; at least one of initializing correction measures by way of the second evaluating unit or proposing correction measures to a user; and preparing a corrected attenuation map based on the correction measures.

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.

A device for measuring the health of a tissue and a method of use. The device includes a plurality of sensors for detecting an event related to decay of a positron emitted from a pharmaceutical radionuclide in the tissue, and a processor. The processor measures a first count rate indicative of three photon emission related to a first decay mode of the positron, measures a second count rate indicative of two photon emission related to a second decay mode of the positron, applies a scatter correction factor to each of the first count rate and the second count rate to account for scattered and attenuated annihilation photons in the tissue, determines a ratio of the first count rate to the second count rate, determine a decay lifetime for ortho-positronium (o-Ps) based on the ratio, and determines the health of the tissue based on the decay lifetime for o-Ps.

This invention provides a dose prediction system, dose prediction method, and dose prediction program for accurately evaluating particle beam irradiation doses and supporting treatment using particle beams. [Solution] The support device 20 comprises an irradiation device 31 that irradiates with a particle beam, a detection device 32 that measures the irradiation area of ​​the particle beam, an imaging device 33 that photographs the light emission of the irradiation area, and a control unit 21 that predicts the irradiation dose by the irradiation device 31. The control unit 21 acquires the light emission distribution of the surface of the irradiated object irradiated with the particle beam, acquires the activity distribution of positron emission nuclei generated on the side surface of the irradiated object, and calculates a three-dimensional dose distribution using the light emission distribution and the activity distribution.

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.