3971results about "Tomography" patented technology

An image processing apparatus is disclosed. The image processing apparatus of the present invention comprises: an image receiving unit for receiving a first image and a second image of the same object taken at different times; a processor for obtaining transformation information by registering the first image on the basis of the second image, obtaining a first segment image corresponding to an area of the object from the first image, and generating a second segment image corresponding to an area of the object of the second image by transforming the obtained first segment image according to the transformation information; and an output unit for outputting the second segment image.

A computer implemented method for training a whole medical image foundation model, including: receiving a plurality of medical image datasets; extracting local sections of image data from the plurality of medical image datasets; obtaining one or more causal variables associated with the local sections and / or patient; training one or more self-supervised learning models based on the local sections of image data and the causal variables; combining the one or more trained self-supervised learning models with a deep learning network configured to combine a latent representation of the local sections of image data from the one or more trained self-supervised learning models into a patient-level representation; and combining, with the one or more trained self-supervised learning models and the deep learning network, at least one further network or function configured to accept the patient-level representation as input, the at least one further network or function operable to perform one or more patient-specific prediction tasks.

Disclosed are approaches that may provide image-guidance to interventionalists by providing true 3D visualization and quantitative feedback in real-time. A guidance system may allow a physician to manipulate a medical device and see a 3D rendering with quantitative feedback floating in mixed reality, next to standard monitors. Image tracking may detect and co-register the medical device's 3D position using, for example, bi-plane C-arm X-ray fluoroscopy and provide a 3D trajectory as quantitative feedback. Patterns in a fluoroscopic image may be used to accurately determine an object's z-position from a single angle projection.

The disclosure herein relates to systems, methods, and devices for medical image analysis, diagnosis, risk stratification, decision making and / or disease tracking. In some embodiments, the systems, devices, and methods described herein are configured to analyze non-invasive medical images of a subject to automatically and / or dynamically identify one or more features, such as plaque and vessels, and / or derive one or more quantified plaque parameters, such as radiodensity, radiodensity composition, volume, radiodensity heterogeneity, geometry, location, and / or the like. In some embodiments, the systems, devices, and methods described herein are further configured to generate one or more assessments of plaque-based diseases from raw medical images using one or more of the identified features and / or quantified parameters.

Methods and apparatus for changing a brain state of a person from an initial brain state to a target brain state are described. The method includes receiving information characterizing the initial brain state, the information including a structural composition and a functional architecture of the brain, estimating based, at least in part, on the received information, a potential for the brain to change from the initial brain state to the target brain state, determining based, at least in part, on the received information and the estimated potential for the brain to change from the initial brain state to the target brain state, a non-invasive brain stimulation protocol, and controlling at least one non-invasive brain stimulation device to stimulate the brain according to the non-invasive brain stimulation protocol. The method also includes using brain information to inform the design of computational general artificial intelligence agents.

The invention relates to the technical field of medical image analysis, and discloses a cardiovascular disease detection method based on image analysis. The method comprises the steps of obtaining a medical image sequence of a target patient, and extracting a blood vessel region contour to generate an initial blood vessel topological graph; the initial topological graph is registered with a standard cardiovascular model, the curvature deviation degree and the pipe diameter variation coefficient of each blood vessel branch are calculated, and a blood vessel elastic characteristic matrix is generated in combination with abnormal displacement nodes; and performing multi-scale fusion on the curvature deviation degree, the pipe diameter variation coefficient and the elastic characteristic matrix, outputting a vascular structure anomaly index, and generating a hemodynamic parameter set. Dividing risk areas according to gradient distribution of the parameter set on the three-dimensional model, performing texture co-occurrence matrix analysis on pixel clusters in the high-risk areas, and extracting texture fingerprints of calcified plaques and lipid deposition. And determining the type and severity level of the cardiovascular disease according to the peak value distribution. According to the invention, accurate and objective detection and risk assessment of cardiovascular diseases are realized.

The invention relates to the technical field of medical data processing, and discloses a non-invasive hemodynamic assessment system for coronary artery stenosis degree, comprising an image acquisition module used for acquiring a coronary artery computed tomography angiography image of a patient; the physiological signal acquisition module is used for synchronously acquiring physiological signals of a patient, and the physiological signals comprise electrocardiosignals and non-invasive arterial blood pressure signals; and the data processing module is used for preprocessing and segmenting the coronary artery computed tomography angiography image. Electrocardiogram and non-invasive arterial blood pressure signals are collected through the sensor, risks and complications caused by invasive examination of traditional coronary artery radiography are avoided, the problem that patients unsuitable for invasive examination such as contrast agent allergy and renal insufficiency are difficult to evaluate is solved, the pain of the patients is relieved, and the acceptability of the patients is improved.

A system (DSS) and related method for synthesizing training data or machine learning, based on a set (TD) including two types of training imagery, high image quality, IQ, imagery and low IQ imagery. The system comprises a data synthesizer (DSY), configured to register the at least two types of imagery and to transfer i) image information from high IQ imagery to the registered low IQ imagery to obtain synthesized high IQ imagery, or ii) image information from low IQ imagery to the registered high IQ imagery to obtain synthesized low IQ imagery. The synthesized data may be used for improved training of machine learning models for IQ enhancement.

The invention is suitable for the technical field of ultrasonic imaging, and provides a three-dimensional ultrasonic imaging method and system, computer equipment and a computer program product, and the method comprises the steps: transmitting a multi-angle composite plane wave sequence to a target region through a one-dimensional ultrasonic array with the frequency gradual change characteristic in the elevation direction, and receiving a reflected echo signal sequence, generating a target gray-scale image sequence corresponding to the echo signal sequence, acquiring coordinates of each ultrasonic contrast agent microbubble in each frame of gray-scale image, generating a two-dimensional coordinate set, calculating the axial half-peak full width of a point spread function region of each ultrasonic contrast agent microbubble, and calculating the axial half-peak full width of the point spread function region of each ultrasonic contrast agent microbubble; determining the coordinate of each ultrasonic contrast agent microbubble in the elevation angle direction based on the axial half-peak full width, generating an elevation angle coordinate set, and generating a three-dimensional contrast image of the target area based on the two-dimensional coordinate set and the elevation angle coordinate set. According to the method provided by the invention, the problem that three-dimensional ultrasonic imaging is limited by the surface ultrasonic array can be solved, and low-cost, simple and efficient three-dimensional ultrasonic imaging based on the one-dimensional ultrasonic array is realized.

Systems and methods are provided for modeling and for providing a graphical representation of tissue heating and electric field distributions for medical treatment devices that apply electrical treatment energy through one or a plurality of electrodes. In embodiments, methods comprise: providing one or more parameters of a treatment protocol for delivering one or more electrical pulses to tissue through a plurality of electrodes; modeling electric and heat distribution in the tissue based on the parameters; and displaying a graphical representation of the modeled electric and heat distribution. In another embodiment, a treatment planning module is adapted to generate an estimated target ablation zone based on a combination of one or more parameters for an irreversible electroporation protocol and one or more tissue-specific conductivity parameters.

A computer-implemented method of providing plaque data (110) for a plaque deposit (120) in a vessel (130), is provided. The method includes: receiving (S110) computed tomography, CT, data (140) representing the vessel (130); generating (S120), from the CT data (140), a cross-sectional representation (150) of the vessel (130) at each of a plurality of positions (A-A′, B-B′) along the vessel; extracting (S130), from the cross-sectional representations, plaque data (110) comprising at least one measurement of the plaque deposit (120) at the plurality of positions along the vessel; and outputting (S140) a graphical representation of the plaque data (110).

Systems and methods for fully automated anatomical analysis of an anatomical structure are provided to facilitate pre-operative planning. The computerized method may include obtaining a plurality of images, e.g., MSCT images, of patient-specific cardiovascular anatomy, and analyzing the MSCT images with a trained artificial intelligence module to identify one or more anatomical landmarks and to construct a virtual three-dimensional model of the anatomical structure. For example, the trained artificial intelligence module may execute segmentation, point detection, curve detection, or plane detection deep learning modules, independently or in combination, to identify the anatomical landmarks. The method further may include deriving anatomical measurements of the one or more identified anatomical landmarks, and displaying the virtual three-dimensional model alongside the anatomical measurements of the one or more identified anatomical landmarks.

A detector system for molecular imaging of a radionuclide comprises a 3D semiconductor detector comprising a plurality of sensor stacks of sensors made of a semiconductor material having an average atomic number Z below 40. A read-out circuitry connected to the pixels is configured to output, for each interaction induced by an incident gamma ray in the detector, a signal representative of a time, a position and an energy of the interaction in the detector. The interactions in the detector belonging to a same event induced by the incident gamma ray are predicted based on the output signals and used to estimate a direction of the incident gamma ray and reconstruct an image based on the estimated directions of incident gamma rays.

The present disclosure relates to a method for imaging and an imaging system. The method includes obtaining a scanning protocol for an examination subject, which includes: obtaining calibration data associated with the scanning protocol in response to a commonly used scanning protocol calibration data set of a medical imaging system including the calibration data; or performing a calibration operation in response to a commonly used scanning protocol calibration data set of a medical imaging system not including calibration data associated with the scanning protocol, to generate calibration data associated with the scanning protocol. The method further includes scanning the examination subject based on the scanning protocol, to obtain raw imaging data, and performing reconstruction using the calibration data associated with the scanning protocol and the raw imaging data, to obtain a medical image of a scanned subject.

The invention provides a temporomandibular artificial joint replacement device, a preparation method and a surgical robot system.The temporomandibular artificial joint replacement device is characterized in that a mandibular fixing support is fixedly connected with the outer side face of the mandible of the human body, a temporal bone fixing support is fixedly connected with the outer side face of the temporal bone of the human body, a containing cavity is formed in a glenoid fossa liner, and a spherical joint head is movably arranged in the containing cavity; a base layer, a variable-rigidity elastic buffer layer and a surface layer are sequentially arranged on the inner wall of the containing cavity in the thickness direction of the side wall of the glenoid fossa liner. By means of the temporal-mandibular artificial joint replacement device, efficient simulation of the temporal-mandibular joint replacement device on a real human body temporal-mandibular joint structure can be achieved, the structural strength and the use comfort of the temporal-mandibular artificial joint replacement device are improved, and based on artificial intelligence and a surgical robot auxiliary technology, the device is simple in structure and convenient to use. The preparation function of the temporomandibular artificial joint replacement device matched with the human tissue structure and the automatic assembly surgical operation are achieved.

The present disclosure relates to computer-implemented methods (100) for generating a virtual model of a first section of bone tissue including cortical bone tissue. The method comprises (104) obtaining microstructural cortical parameters including an indication of a number of osteons (210) and of a cross-sectional area of the osteons, a number of lamellae (212) forming the osteons, an indication of locations of osteons in the section of bone tissue and of dominance of the osteons. The method further comprises generating a virtual model using a generative design algorithm comprising (1061) defining a geometric space, (1062) generating a cortical cloud of points, (1064) segmenting the geometric space into substantially circular regions, defining an outer surface of the osteons. The method further comprises (1065) forming consecutive substantially concentric surfaces corresponding to the lamellae until the obtained virtual model satisfies boundary conditions formed by the microstructural cortical parameters.

Systems and methods are disclosed for performing operations comprising: receiving a plurality of training medical images used to train a machine learning technique; applying a model to the plurality of training medical images to generate a distribution representation of the plurality of training medical images; computing a first distance between a given training medical image in the plurality of training medical images and the distribution representation; computing a second distance between a new medical image and the distribution representation; and computing a quality factor indicating a measure of similarity between a new medical image and the plurality of medical images as a function of the first distance and the second distance.

Methods and systems are provided for identifying cardiac cycles for evaluating left ventricle function using only image data. In one example, a method includes obtaining a sequence of medical image frames of a heart of a patient over a plurality of cardiac cycles, wherein each medical image frame depicts the same apical view of the heart, using a timing model to generate an output that is useable to label each frame of the sequence by cardiac cycle subphase and using the output to determine the suitability of each cardiac cycle for performing an automated measurement. The method may further include using the suitability of each cycle to determine if an automated measurement should be performed on each cycle, where automated measurements are performed on medical image frames corresponding to suitable cycles and automated measurements are not performed on medical image frames corresponding to unsuitable cycles.

The invention relates to the technical field of X-ray imaging, and discloses an X-ray grating comprehensive imaging information extraction method and system. The method comprises the steps of obtaining and preprocessing original data; acquiring multi-dimensional interference parameters formed by grating phase drift distance, photon statistical noise density and imaging object deformation rate; dynamically calculating a phase correction coefficient, a noise suppression weight and information extraction confidence; phase compensation and noise filtering are executed based on the confidence coefficient, and structure and density information is extracted; parameter changes are monitored in real time, and the extraction process is updated; the system correspondingly realizes the method. The problem of low dynamic scene information precision caused by multi-interference coupling is solved, and the imaging information extraction stability and quality are improved.

The present disclosure provides to process a series of intravascular images, such as intravascular ultrasound (IVUS) images, to align the frames of the series of images longitudinally and angularly with respect to an extravascular image. In some examples, vessel fiducials are identified in each image modality and longitudinal and angular offsets are identified based on the location and angular orientation of the vessel fiducials. An aligned series of images can be generated by shifting and rotating frames of the series of images based on the identified offsets.

Systems and methods for verifying the quality of patient specific implants are disclosed. A system can generate implant data, such as design files or fabrication instructions, for manufacturing the implant. The system can manage access to the implant data based on authentication levels. Based on the determined authentication level of the user requesting access to the implant data, the system can permit the user to access some or all of the implant data. The system can perform a quality check on a manufactured implant by scanning the manufactured implant to identify any errors in the manufactured implant.

The invention provides a cervical cancer self-adaptive radiotherapy assessment decision method and device, and relates to the technical field of medical artificial intelligence, and the method comprises the steps: obtaining a cone beam CT image and a plan CT image before radiotherapy of a patient to be subjected to radiotherapy on the day of radiotherapy, and extracting the structural quantitative features of the images; the method comprises the following steps: calculating a difference value of structured quantitative characteristics between a cone beam CT image on the day of radiotherapy and a plan CT image before radiotherapy to obtain multi-dimensional geometric change characteristics; and inputting the multi-dimensional geometric change features, the vectorized representation of the predetermined key region of the cone beam CT image and the clinical text information into a pre-trained clinical large language model, and outputting a self-adaptive radiotherapy demand tag. The problem that the prior art depends on manual analysis, and it is difficult to compare the change characteristics of the CT image between the radiotherapy day and the plan before radiotherapy to automatically analyze whether self-adaptive radiotherapy is executed on the radiotherapy day is solved.

A system and method are provided for controlling an ultrasound probe having a transducer array of transducer elements. The method includes receiving echo signals at the transducer elements reflected in near and / or far fields of a medium, and outputting electrical echo signals; digitizing the electrical echo signals; multiplexing the digitized echo signals to output a first set of the digitized echo signals corresponding to a first set of transducer elements of the plurality of transducer elements defining a small aperture for receiving the echo signals reflected in the near field; grouping transducer elements of a second set of transducer elements into sub-arrays providing a second set of digitized echo signals; summing together the digitized echo signals from the second set of the transducer elements within each sub-array for receiving echo signals reflected in the far field, wherein the second set of transducer elements contains more transducer elements than the first set of the transducer elements; and outputting an echo data stream including the first and / or second sets of the digitized echo signals to a host system via a communication interface having a fixed maximum bandwidth.

A surgical navigation system is provided to create a plan to correct a deformed spinal alignment. A processor is configured to obtain a first set of image data associated with a deformed alignment in a spine of a patient from at least one imaging device. The processor is also configured to process the first set of image data to identify a set of deformed alignment parameters associated with the deformed alignment. The processor is further configured to identify a set of corrected alignment parameters. The processor is also configured to process the first set of image data, the set of deformed alignment parameters, and the set of corrected alignment parameters to generate a correction plan to surgically manipulate the deformed alignment to the preferred alignment. The processor is additionally configured to provide navigation through the correction plan to facilitate surgical manipulation of a patient spine to the preferred alignment. The processor is also configured to receive information relating to forces on a rod-link reducer or surgical implants from strain gauges to aid the correction plan.

A system for an infographic display of an image analysis, said system comprising: a processor; a non-transitory storage element coupled to the processor; encoded instructions stored in the non-transitory storage element, wherein the encoded instructions when implemented by the processor, configure the system to: receive at least one image frame; localize at least one of a present tooth, dental, or non-dental condition inside the received image frame and identify it by at least one of a number, name, or short-hand; extract the at least one identified tooth, dental, or non-dental condition within the received image; classify the at least one tooth, dental, or non-dental condition based on the extracted; and represent results of the at least one classified area of interest in at least one of three layers, wherein the layers are an image-based layer, infographic-based layer, or an informational layer.

The invention provides an imaging method, device and equipment of an interventional instrument. The imaging method comprises the following steps: acquiring a movement track and a current position of the interventional instrument in an interventional environment; according to the motion trail and the current position, a local scanning visual field area of the imaging equipment is determined, and the local scanning visual field area at least comprises an expected advancing path of the interventional instrument; and imaging the interventional instrument according to the local scanning view area to obtain a local image of the interventional instrument. The radiation quantity in the imaging process of the interventional instrument is reduced, and the imaging accuracy is improved.

A method for visualizing a patient shoulder anatomy is provided. The method includes receiving image data of the patient shoulder anatomy, identifying a boundary of a lesion on a humerus based on the image data, generating one or more 3D models based on a segmentation of the image data, determining a location of a glenoid track corresponding to a contact between the humerus and a glenoid based on the one or more 3D models, generating a first virtual object based on the location of the glenoid track, and displaying: at least a portion of a rendering of the one or more 3D models, the boundary of the lesion, and the first virtual object.

Provided herein is technology relating to radiology and radiotherapy and particularly, but not exclusively, to apparatuses, methods, and systems for multi-axis medical imaging of patients in vertical and horizontal positions.

A medical image processing apparatus according to one embodiment includes processing circuitry. The processing circuitry acquires a plurality of pieces of energy bin data that are generated based on execution of photon counting CT scan. The processing circuitry reconstructs a plurality of energy band images based on the plurality of pieces of energy bin data. The processing circuitry generates, based on the plurality of energy band images, a three-dimensional histogram based on a plurality of pixel values and a plurality of energy bands included in the plurality of energy band images.

An X-ray imaging device emits an X-ray to irradiate an object and includes an object moving mechanism that rotates the object; an X-ray image detector to detect a projection image of the object; an object temperature adjusting mechanism configured to change a temperature of the object; and a processing unit configured to acquire a cross-sectional image of the object by a reconstruction calculation from the projection images detected by the X-ray image detector by rotating the object. The processing unit is acquires a plurality of cross-sectional images and of the object captured at a plurality of different temperatures T1 and T2, and divides an inside of the object into regions for each of substances using a distribution of pixels of each of the cross-sectional images based on CT values obtained at the plurality of temperatures T1 and T2 at which the cross-sectional images of the object are acquired.