209 results about "Positron emission tomography" patented technology

The invention discloses a three-dimensional positron emission tomography data image classification method based on multi-stage progressive feature extraction, and is applied to the technical field of Alzheimer's disease auxiliary diagnosis. The auxiliary diagnosis method comprises the following steps: acquiring and preprocessing PET image data of an Alzheimer's disease patient; improving the reliability of the data set by using data enhancement; performing long-range dynamic modeling on the three-dimensional voxel sequence through a stacked Lmamba block; global context semantic adaptive fusion is realized through a layer-by-layer cross-scale channel attention fusion module (CSACF), and a channel spatial perception module (CSPM) is constructed to optimize spatial feature fusion; an inverted bottleneck module is mixed with long-distance space and position information to enhance the capturing capability of the model on detail features; and finally, predicting the disease category probability through global average pooling, full connection and softmax functions. According to the method, the precision of AD early diagnosis and MCI conversion risk prediction can be greatly improved, the defects of a medical image diagnosis method of a convolutional neural network (CNN) and Transform in long-range dependence on modeling and calculation complexity are overcome, and the method has good application prospects and is suitable for AD early detection and MCI conversion risk assessment.

A positron emission tomography (PET) scanner includes a plurality of gamma radiation detector modules arranged to form a detector ring. Each detector module includes an array of scintillator detectors. Each scintillator detector comprises a monolithic scintillation crystal and a plurality of photodetector arrays, such as silicon photomultipliers (SiPMs). A photodetector array is positioned on at least two nonparallel faces of each scintillation crystal. In some examples, a photodetector array is positioned on each of three orthogonal faces of each scintillation crystal.

Embodiments of the present application relate to the technical field of medical image processing, and provide a medical image recognition method and apparatus, a device and a storage medium. The method comprises: acquiring a target image set, the target image set comprising a plurality of target whole-body tomographic images collected in a first preset time sequence; extracting organ tomographic images of a target organ from the target whole-body tomographic images; constructing an initial organ matrix for the target organ tomographic images of each target whole-body tomographic image; calculating a metabolic reference matrix and the initial organ matrix on the basis of a preset object metabolic difference sub-network, to obtain an organ metabolic difference matrix; and performing metabolic difference recognition on the basis of the organ metabolic difference matrix and the metabolic reference matrix, to obtain a target metabolic difference map that represents metabolic difference information between any two target organs in the target whole-body tomographic images. The embodiments of the present application can improve the recognition accuracy of images acquired by positron emission tomography, thereby improving the accuracy of determining metabolic conditions of individual objects.

The invention relates to the technical field of animal experiments, and particularly discloses an experimental animal PET-CT examination auxiliary fixing device which comprises a fixing base, the upper surface of the fixing base is fixedly connected with a first supporting column, the upper surface of the first supporting column is fixedly connected with a first limiting plate, and the side surface of the first limiting plate is fixedly connected with two supporting limiting blocks. The experimental animal PET-CT examination auxiliary fixing device is provided with a supporting limiting block and a positioning sliding rail, when the experimental animal PET-CT examination auxiliary fixing device works, by sliding a second supporting column, a transmission rolling wheel at the lower end of the second supporting column is used for supporting, friction force is dropped through rotation of the transmission rolling wheel, and therefore practicability is improved; and a second supporting column is conveniently guided, so that the movement stability of the second supporting column is improved, the distance between a first limiting plate and a second limiting plate is conveniently changed, and the convenience of fixing different rabbits is improved.

The invention relates to an antenna and an antenna arrangement for an imaging method, a method for adjusting the length of an antenna, and a tomography system, in particular for magnetic resonance imaging (MRI) or simultaneous positron emission tomography-MRI (PET-MRI). An antenna (1) for an imaging method comprises a radiation section (2) and a feed section (3). The feed section (3) comprises a capacitor (11) and an inductor (15).

The invention relates to an oxidase response type molecular probe as well as a preparation method and application thereof, and belongs to the technical field of medical imaging. Aiming at the problem that the inflammation activity is difficult to accurately evaluate in the prior art, the invention provides a molecular imaging probe capable of responding to the activity of in-vivo myeloperoxidase (MPO), and the molecular imaging probe can be used for real-time and non-invasive imaging monitoring of the activity of the in-vivo MPO, so that the activity of the inflammatory reaction of a focus is accurately evaluated. The invention provides a chelating agent with structural characteristics of a chelating unit and an enzyme response unit, and is characterized in that the enzyme response molecular probe is constructed by taking rigid framework cyclohexanediamine (CDTA) as a transition metal chelating unit and taking electron-rich functional groups (such as phenol, catechol or 5-hydroxytryptamine) as the enzyme response unit. The probe is chelated with paramagnetic metal (such as Mn < 2 + >) for magnetic resonance imaging (MRI) or radioactive metal (such as 68Ga) for positron emission tomography (PET), so that specific response to MPO activity is realized. The dynamic stability of the probe is remarkably improved; after the MPO is responded, the relaxation efficiency is improved by 2-3 times, and the sensitivity is optimized; the cytotoxicity is low; in an acute pancreatitis model, the MRI contrast noise ratio (delta CNR) reaches 77.39 + / -7.04 and is 4.2 times that of a control group, the PET uptake rate is remarkably improved, bimodal imaging is supported, and accurate positioning and quantitative evaluation of the inflammation activity are achieved.

The present invention relates to a method for non-invasive quantitative measurement of cerebrovascular reserve (CVR) and cerebral blood flow (CBF) with 15O -water positron emission tomography (PET) in a human, and to a vasodilatant for use in said method.

The present invention discloses methods for automatically computing an arterial input function from one or more regions of interest, the method comprising: a. obtaining a plurality of dynamic image data sets comprising volumetric image data from the regions of interest over multiple scanning intervals; b. utilizing an artificial neural network to segment the plurality of dynamic image data sets displaying one or more arterial input function(s) (AIF) in the region(s) of interest; c. automatically estimating, using artificial intelligence, an arterial input function based on plurality of dynamic image data sets combined with one or more time activity curves (TAC) in the region(s) of interest in target organ(s); and d. computing a pre-trained predictive pharmacokinetic AI model arterial input function using time activity curve input associated with region(s) of interest of target organ(s).

A back illuminated sensor is included as a collector component of a detector for use in intraoral and extraoral 2D and 3D dental radiography, digital tomosynthesis, photon-counting computed tomography, positron emission tomography (PET), and single-photon emission computed tomography (SPECT). The disclosed imaging method includes one or more intraoral or extraoral emitters for emitting a low-dose gamma ray or x-ray beam through an examination area; and one or more intraoral or extraoral detectors for receiving the beam, each detector including a back illuminated sensor. Within the detector, the beam is converted into light and then focused and collected at a photocathode layer without passing through the wiring layer of the back illuminated sensor.

A computer-implemented method is provided for segmentation of Positron emission tomography (PET) / computed tomography (CT). The method comprises: acquiring an original medical image including a PET image and CT image of a subject; transforming the original medical image into an input image with a predetermined resolution and a plurality of channels; processing the input image using an ensembled CNNs to output an intermediate segmentation mask; and taking the intermediate segmentation mask as input to a refiner model to output a final segmentation mask, where the final segmentation mask has a resolution same as the resolution of the original medical image.

The invention provides a PET-CT (positron emission tomography-computed tomography) lung cancer image fusion segmentation method and system, and relates to the technical field of image segmentation. Carrying out convolution processing on the data through a convolutional neural network to obtain PET metabolic parameters and CT density value distribution data; performing cross-modal feature association on the PET feature map and the CT feature map to obtain an associated PET feature map and an associated CT feature map; segmenting the PET feature segmentation result and the CT feature segmentation result to obtain a PET feature segmentation result and a CT feature segmentation result; according to the segmentation result, combining PET metabolic parameters and CT density value distribution data to obtain fusion feature parameters; and carrying out conjoint analysis on the PET feature segmentation result, the CT feature segmentation result and the fusion feature parameters to obtain a PET-CT image fusion segmentation result of the early-stage tiny lesion of the lung cancer, thereby realizing accurate PET-CT image fusion segmentation of the early-stage tiny lesion of the lung cancer.

The invention provides a PET-MR joint reconstruction method and system based on an expert network modular regularizer. The method comprises the following steps: constructing a PET-MR joint reconstruction backbone network based on a decoupling iteration framework; s2, constructing and integrating a U-Net joint regularizer for expert network modularization, and integrating the U-Net joint regularizer into the iterative reconstruction framework in the step S1 to obtain a final joint reconstruction network model; applying a comprehensive loss function to supervise an end-to-end learning process of the joint reconstruction network model; constructing a training data set, and performing end-to-end joint training on the joint reconstruction network model by using a loss function; in the reasoning stage, PET and MR measurement data to be reconstructed are input into the trained joint reconstruction network model, and finally a reconstructed PET image and a reconstructed MR image are output. According to the method, the functional metabolism information accuracy of the reconstructed PET image and the anatomical structure detail definition of the MR image are enhanced, and the high feature fidelity of each modal image is ensured, so that the overall quality and clinical diagnosis value of the reconstructed image are improved.

The present disclosure relates to the field of nuclear imaging and therapy, and more particularly, to high purity copper radiotracer compositions that can be used in imaging (e.g., positron emission tomography (PET) and single photon emission computed tomography (SPECT)) and therapy. More specifically, the present disclosure relates to novel compositions useful for imaging and treating conditions (e.g., prostate cancer, somatostatin receptor expressing tumors, such as neuroendocrine tumors, epithelial tumors), and methods of making such compositions.

The invention discloses a non-pairing PET (positron emission tomography) image enhancement method based on a diffusion model, and provides a two-stage learning framework: in the first stage, an unconditional diffusion model is trained through a low-quality PET data set, and a low-frequency part of a generated image is replaced by controlling a noise adding step number during sampling so as to maintain structural consistency; generating a pseudo low-quality image paired with the high-quality image, and constructing a pseudo pairing data set; and in the second stage, supervised training is carried out based on the pseudo-pairing data set, and the image quality is improved by utilizing an end-to-end neural network. According to the method, pairing data dependence is broken through, training can be completed through non-pairing data, the efficiency of application of the method is improved through two-stage optimization, and the problem that time consumption is long when a diffusion model method is directly used for reasoning is solved through two objectives of decoupling data generation and quality enhancement. The method supports flexible selection of the supervised learning network, and provides an efficient and high-generalization enhancement solution for the low-quality PET image.

A multiplexing scheme for both energy and timing information is provided for a particle detection system having an optical sensor array with multiple optical sensors. Each optical sensor is associated with multiple scintillator modules. The system has a segmented prismatoid light guide comprising multiple prismatoid segments. Each segment is associated with multiple optical sensors, where the optical sensors are adjacent. One end each scintillator module is in contact with its associated optical sensor and the other is in contact with its associated segment. Multiple optical sensors may be connected to an energy readout channel, respectively, such that optical sensors associated with the same segments are not connected to the same energy readout channel. Each energy readout channel has at least two timestamps associated therewith.

A multiplexing scheme for both energy and timing information is provided for a particle detection system having a photosensor array with multiple photosensors. Each photosensor is associated with multiple scintillator modules. The system has a segmented pseudo-prismatic light guide with multiple pseudo-prismatic segments. Each segment is associated with multiple photosensors, and the photosensors are adjacent. Each scintillator module contacts its associated photosensor at one end and its associated segment at the other end. Each of the multiple photosensors may be connected to an energy readout channel, such that photosensors associated with the same segment are not connected to the same energy readout channel. Each energy readout channel has at least two timestamps associated therewith.

Systems and methods include acquisition of a computed tomography image of an object, determination of a linear attenuation coefficient map based on the computed tomography image, acquisition of positron emission tomography (PET) data of the object, determination of a histoimage of the object based on the PET data, determination of a scatter histoimage based on the histoimage and the linear attenuation coefficient map, determination of a scatter-corrected histoimage based on the histoimage and the scatter histoimage, and input of the computed tomography image and the scatter-corrected histoimage to a trained neural network to generate a PET image.

A positron emission tomography (PET) scanner may include a plurality of gamma radiation detector modules arranged to form a detector ring. Each detector module may include an array of elongated scintillation crystals. With respect to the detector ring, each elongated scintillation crystal includes a proximal end-face, two axially oriented lateral faces, two transaxially oriented lateral faces, and a distal end-face radially oriented into the detector ring to receive a gamma photon. An array of photosensors is positioned along a first of the axially oriented lateral faces of each elongated scintillation crystal to detect scintillation photons. A reflective material is positioned on the proximal end-face, the distal end-face, the transaxially oriented lateral faces, and a second of the axially oriented lateral faces of each elongated scintillation crystal to internally reflect scintillation photons. In various embodiments, a dual-channel processing circuit provides distinct timing and energy signals from the photosensors.

A system for the safe preparation and injection of a radioactive isotope of H2 15 O for use in positron emission tomography (PET). The invention also relates to a safety valve for controlling the flow rate of H2 15 O used in PET, the use of said safety valve, and a method for preparing and injecting H2 15 O.

The 18F-labeling of unprotected peptides and sugars via thioarylation using a Au(III)-[˜F]fluoroaryl complex is reported. The chemoselective method generates 18F-labeled S-aryl bioconjugates in an aqueous environment in 15 min with high radiochemical yields and displays excellent functional group tolerance. This approach utilizes an air and moisture stable, robust organometallic Au(III) complex and highlights the versatility of designer organometallic reagents as efficient agents for rapid radiolabeling.

The present invention relates to an MRI-based method for predicting a degree of accumulation of a biomarker associated with Alzheimer's disease and a companion diagnosis method using same, wherein a degree of accumulation of a biomarker associated with Alzheimer's disease in each brain area of a subject can be accurately predicted using positron emission tomography (PET) or in cerebrospinal fluid (CSF) through a lumbar puncture without directly measuring an accumulated level of the biomarker associated with Alzheimer's disease, whereby the present invention can be used for diagnosis and companion diagnosis of various neurodegenerative diseases.

The present invention relates to triglyceride analogs labeled with radioisotopes, or salts thereof, for positron emission tomography (PET) or single-photon emission computed tomography (SPECT) imaging. In addition, the present invention relates to compositions comprising the radiolabeled triglyceride analog, or a salt thereof, and methods for preparing the same. Further, methods of imaging using the radiolabeled triglyceride analog and uses of the radiolabeled triglyceride analog are disclosed herein. The invention also relates to an intermediate triglyceride analog for synthesis of the radiolabeled triglyceride analog.

The invention discloses a PET-CT (positron emission tomography-computed tomography) radiopharmaceutical closed automatic dispensing and dosing machine which comprises a machine base and an injection bin fixedly mounted on the machine base, an air cylinder mechanism is fixedly mounted at the top of the back of the injection bin, and a closed box is fixedly mounted on one side of the injection bin. And a transmission mechanism pushed by the air cylinder mechanism is installed in the closed box in a sliding mode, a mechanical clamping mechanism is installed at the bottom of the transmission mechanism in a transmission mode, and an arm support is fixedly installed at the position, located at the placing opening, in the injection bin. According to the invention, the mechanical clamping mechanism repeatedly acts to clamp the disposable syringe, the problem of more pipeline consumables is solved by directly adopting the mechanical clamping mechanism to extract liquid medicine at a fixed point and inject the liquid medicine at a fixed point, meanwhile, the flowing time of the stock solution in the pipeline is also reduced, the disposable syringe directly injects the stock solution into the heparin cap, and the operation is simple and convenient. And the accuracy of the nuclide value is ensured to the greatest extent.

A positron emission tomography (PET) scanner includes multiple gamma radiation detector modules arranged to form a detector ring. Each detector module includes an array of elongated scintillation crystals. With respect to the detector ring, each elongated scintillation crystal includes a proximal end face, two axially-oriented side faces, two cross-axially-oriented side faces, and a distal end face oriented radially into the detector ring to receive gamma photons. An array of photosensors is disposed along a first of the axially-oriented side faces of each elongated scintillation crystal to detect scintillation photons. Reflective material is disposed on a second of the proximal end face, the distal end face, the cross-axially-oriented side face, and the axially-oriented side face of each elongated scintillation crystal to internally reflect scintillation photons. In various embodiments, a dual-channel processing circuit provides separate timing and energy signals from the photosensors.

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 embodiment of the invention provides a PET / CT (positron emission tomography / computed tomography) equipment quality control system, which is used for correcting PET / CT equipment and comprises a correction solution preparation module, the correction solution preparation module comprises an automatic liquid suction and injection device, a uniform mixing device, a bubble remover and a plurality of correction die bodies, the automatic liquid suction and injection device is used for sucking a correction solution and injecting the correction solution into the uniform mixing device, and the automatic liquid suction and injection device is used for sucking the correction solution and injecting the correction solution into the uniform mixing device; the uniform mixing device is used for uniformly mixing the correction solution, the uniformly mixed correction solution flows into the bubble eliminator, the bubble eliminator is used for eliminating bubbles in the correction solution, and the correction solution after the bubbles are eliminated enters a plurality of correction mold bodies; and the plurality of robots are used for conveying the plurality of correction die bodies to designated positions of PET / CT equipment. Full-process operation such as automatic nuclide injection, solution mixing, bubble elimination, solution conveying, correction data acquisition and equipment running state feedback can be realized, and harm of radionuclides to human bodies in the quality control process is avoided.

Two major treatment strategies employed in fighting non-small cell lung cancer (NSCLC) are tyrosine kinase inhibitors (TKIs) and immune checkpoint inhibitors (ICIs). The choice of strategy is based on heterogeneous biomarkers expressed by the lung tumor tissue. A major challenge for molecular testing of these biomarkers is the insufficiency of biopsy specimens from patients with advanced NSCLC. Disclosed herein is a method for predicting a response to immune-checkpoint blockade immunotherapy. The method generally involves imaging the subject with positron emission tomography with 2-deoxy-2-[fluorine-18] fluoro-D-glucose integrated with computed tomography to produce 18F-FDG PET / CT images of the tumor, analyzing the images using PET, CT, and Kulbek Leibler Divergence statistical (KLD) features or, alternatively using deep leaning such as Neural Networks; generating a radiomic signature from the identified features or Network characteristics; and computing a radiomic score based on the radiomic signature that is predictive of responsiveness to ICIs or TKIs.

Combining positron emission tomography (PET) scan 111 and computed tomography (CT) scan 121 of portion of body (i.e. lung) into combined image scan 132 for segmentation. Training machine learning for

This invention relates to a convolution-based method for noise suppression in positron emission tomography (PET) flow field images, comprising the following steps: S1, obtaining consistent data through CFD flow field simulation and GATE detection system simulation, and reconstructing a low-resolution initial image of the PET flow field containing noise using the OSEM algorithm; S2, constructing a noise suppressor model, inputting the low-resolution initial image into the model, and outputting a noise-suppressed flow field feature image using a deep convolutional network and multi-scale feature fusion technology; S3, constructing a multi-loss fusion evaluation system, using mean squared error loss, minimum absolute value deviation loss, and perceptual loss to jointly constrain model training, and iteratively updating the weights using the Adam optimizer. This invention not only improves the enhancement model's ability to distinguish noise information, thereby enhancing the model's ability to remove noise information from PET images, but also significantly improves evaluation metrics such as PSNR and SSIM.

The invention belongs to the technical field of inorganic scintillator materials, and particularly relates to a multi-element co-doped yttrium lutetium silicate scintillator and a preparation method and application thereof, and the material has excellent comprehensive performance of high light output, short decay time, high radiation hardness, high matching degree of emission spectrum and novel photoelectric sensors and the like. The invention further relates to a preparation method of the scintillator material and application of the scintillator material in radiation detection fields such as positron emission tomography (PET), time flight PET (TOF-PET), interaction depth PET (DOI-PET), single photon emission computed tomography (SPECT), high-energy physical experiments, nuclear medicine imaging, industrial nondestructive inspection, safety detection (such as luggage and cargo container inspection) and the like.