81 results about "Positron emission" patented technology

Described herein are systems and methods for positioning a radiation source with respect to one or more regions of interest in a coordinate system. Such systems and methods may be used in emission guided radiation therapy (EGRT) for the localized delivery of radiation to one or more patient tumor regions. These systems comprise a gantry movable about a patient area, where a plurality of positron emission detectors, a radiation source are arranged movably on the gantry, and a controller. The controller is configured to identify a coincident positron annihilation emission path and to position the radiation source to apply a radiation beam along the identified emission path. The systems and methods described herein can be used alone or in conjunction with surgery, chemotherapy, and / or brachytherapy for the treatment of tumors.

The invention relates to a method for the in-system calibration of gamma radiation detectors (15) of a positron emission tomograph (10), wherein the tomograph (10) has a receiving space (11) for introducing objects to be measured, around which the radiation detectors (15) are arranged, preferably in pairs opposite one another, with a defined position and orientation. According to the invention, the method comprises: introducing (103) an emission device (5) with a radioactive radiation source (7) into a reference position (R) within the receiving space (11), recording (105) coincidences between one or more pairs (15.1, 15.2) of the detectors (15), and - carrying out (107) virtual collimation, wherein determining (117) interaction positions (PI) comprises determining (119) an interaction depth (PI, T) within the detector (15.1) to be calibrated.

The invention discloses a radiotherapy planning method and system based on biological optimization, and the method comprises the steps: carrying out the fusion of a positron emission computed tomography (PET) image and a computed tomography (CT) image, carrying out the sketching of a biological target region according to the threshold value of a developer standard uptake value (SUV), and meanwhile, carrying out the sketching of an endangered organ; setting physical constraints for the biological target region and the organ at risk, and performing primary optimization to obtain a primary dose result; setting biological constraints for the biological target region and the organ at risk based on the primary dose result; and constructing an objective function containing a biological constraint penalty term and a physical constraint penalty term, and obtaining a final radiotherapy plan through iterative optimization. According to the method, a biological target region is used for replacing a traditional target region, a tumor region is depicted finely, a plan optimization model combining biological constraint and physical constraint is used, the dose coverage of the target region can be ensured, meanwhile, the dose of a crisis organ is reduced, and finally a plan meeting clinical requirements is generated.

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.

A photodetector (90) having an exposure surface (91) has a first photodiode array (1) having a first light entry surface (11) and a second photodiode array (2) having a second light entry surface (21). The first photodiode array (1) has an avalanche photodiode (10). The second photodiode array (2) has a non-amplifying photodiode (10). The first light entry surface (11) and the second light entry surface (21) form sub-surfaces of the exposure surface (91).

The invention relates to a method for the in-system calibration of gamma radiation detectors (15) of a positron emission tomograph (10), wherein the tomograph (10) has a recording chamber (11) for introducing objects to be measured, around which the radiation detectors (15) are arranged, preferably in pairs opposite one another, with a defined position and orientation. It is proposed that the method comprises: introducing (103) an emission device (5) with a radioactive radiation source (7) into a reference position (R) within the recording chamber (11), recording (105) coincidences between one or more pairs (15.1, 15.2) of the detectors (15), and - performing (107) a virtual collimation, wherein a determination (117) of interaction positions (P I ) determining (119) an interaction depth (P I,T ) within the detector (15.1) to be calibrated.

The invention belongs to the technical field of radionuclide labeled radiochemistry and clinical nuclear medicine, and relates to a radionuclide labeled targeted CD44v6 antagonist as well as a preparation method and application thereof. The invention discloses a polypeptide radiopharmaceutical for CD44v6 targeting and a preparation method of the polypeptide radiopharmaceutical. The radiopharmaceutical is radionuclide-bifunctional chelating agent-CDA6, the radionuclide is labeled with polypeptide through the bifunctional chelating agent-CDA6, and the CDA6 polypeptide is of a straight chain structure composed of six amino acids. The radiopharmaceutical realizes specific nuclear medicine positron emission computed tomography (PET) or single photon emission computed tomography (SPECT) imaging diagnosis and / or radioactive therapy of CD44v6 positive tumors or CD44v6 positive lesions (autoimmune diseases, cardiovascular and cerebrovascular system diseases and the like) through specific recognition of the polypeptide CDA6 on CD44V6 in a living body.

There is provided a positron-emitting radionuclide labelled peptide for non-invasive PET imaging of the Urokinase-type Plasminogen Activator Receptor (uPAR) in humans. More specifically the invention relates to human uPAR PET imaging of any solid cancer disease for diagnosis, staging, treatment monitoring and especially as an imaging biomarker for predicting prognosis, progression and recurrence.

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.

The invention discloses a molecular imaging probe targeting poly ADP ribose polymerase as well as a preparation method and application of the molecular imaging probe. The molecular imaging probe is represented by the following formula Ia or Ib. The compound disclosed by the invention can be used as a PARP-targeted positron emission, single photon emission or nuclear magnetic resonance imaging probe, and has a great application prospect in imaging treatment of PARP expression abnormity related diseases such as tumors. # imgabs0 #

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.

To provide methods for PET detector afterglow management.SOLUTION: Disclosed herein are methods and devices for the acquisition of positron emission (or PET) data in the presence of ionizing radiation that causes afterglow of PET detectors. In one variation, the method comprises adjusting a coincidence trigger threshold of the PET detectors during a therapy session. In one variation, the method comprises adjusting a gain factor used in positron emission data acquisition (e.g., a gain factor used to multiply and / or shift the output(s) of a PET detector(s)) during the therapy session. In some variations, a method for acquiring positron emission data during a radiation therapy session comprises suspending communication between the PET detectors and a signal processor of a controller for a predetermined period of time after a radiation pulse has been emitted by the linac.SELECTED DRAWING: None

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 present disclosure provides compounds of Formula (I): and pharmaceutically acceptable salts thereof, wherein R1, R2 and R3 are as defined in the specification. These compounds may be radiolabeled compounds and are useful in diagnostic imaging using positron emission tomography (PET). The compounds of the present disclosure are useful, for example, in diagnostic imaging of 4Rtau aggregates. # imgabs0 #

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 present disclosure relates to a positron emission computed tomography (PET) imaging method, a device, a storage medium, and a product. The method includes: determining a target coincidence event of a to-be-detected object; and performing image reconstruction based on the PET raw data corresponding to the target coincidence event, to obtain a reconstructed image of the to-be-detected object.

The present application discloses an image reconstruction method and apparatus for positron emission tomography data, relating to the field of image data processing, aiming to improve the problem that the existing positron emission tomography images have low diagnostic accuracy due to the influence of respiratory motion. The method includes: acquiring single-phase CT image data and positron emission tomography data of multiple phases after phase division; selecting a reference phase reconstruction image from multiple basic reconstruction images of the positron emission tomography data based on the single-phase CT image data, and acquiring a motion field transformation matrix matching the reference phase reconstruction image; performing image reconstruction processing based on the motion field transformation matrix, the single-phase CT image data, and the positron emission tomography data of multiple phases to obtain a reconstructed image of the positron emission tomography data.

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 capture device 1A comprises a measuring unit 10 and a processing unit 20. The processing unit 20 determines, for each coincidence event in which a first detector 11 and a second detector 12 perform coincidence detection of a pair of gamma-ray photons generated by an electron-positron annihilation event in a positron-emitting radionuclide 81, a position at which the gamma-ray photon is Compton-scattered in the object 90, assuming that the gamma-ray photon arriving at one detector of the first detector 11 and the second detector 12 is a gamma-ray photon arriving without Compton scattering in an object 90, and the gamma-ray photon arriving at another detector is a gamma-ray photon arriving after being Compton-scattered in the object 90.based on a detection position and a detection time of the gamma-ray photon by each of the first detector 11 and the second detector 12 and a position of the positron-emitting radionuclide 81. In this way, an image acquisition device and an image acquisition method capable of acquiring a tomographic image representing anatomical information of an object without performing image reconstruction processing are realized.

Embodiments of the present application relate to the technical fields of AI and digital healthcare, and provide a lung-brain image processing method and apparatus, a device, and a storage medium. The method comprises: collecting medical image data and clinical feature data, wherein the medical image data comprises lung images and brain images, and the medical image data is obtained on the basis of positron emission tomography-computed tomography; screening for target clinical features from the clinical feature data; preprocessing the lung images to obtain a lung preliminary image; preprocessing the brain images to obtain a brain preliminary image; performing deep and shallow feature extraction on the lung preliminary image to obtain lung deep features and lung shallow features, and performing deep feature extraction on the brain preliminary image to obtain brain deep features; performing feature screening on the target clinical features, the lung deep features, the lung shallow features, and the brain deep features to obtain target features; and performing disease classification on the basis of the target features to obtain a target disease category. The embodiments of the present application can improve the accuracy and efficiency of disease classification.

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 in-beam scanner for measuring in-spill prompt gamma events and post-spill positron emission events during proton FLASH radiotherapy (FLASH RT). The in-beam scanner may have a cylindrical shape that defines a central bore extending parallel with a longitudinal axis of the in-beam scanner, wherein a target of the proton FLASH RT is configured to be positioned within the central bore of the in-beam scanner for receiving radiation. The in-beam scanner may include a first detector array comprising a first plurality of detectors arranged annularly that has an inner-facing detecting surface that faces the longitudinal axis. The in-beam scanner may include a collimator removably positioned within the central bore and thereby covering the inner-facing detecting surface of each detector of the first detector array.

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.