3106results about "Computerised tomographs" 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.

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, perform computational fluid dynamics analysis, facilitate assessment of risk of heart disease and coronary artery disease, enhance drug development, determine a CAD risk factor goal, provide atherosclerosis and vascular morphology characterization, and determine indication of myocardial risk, 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.

The invention relates to the technical field of tumor interventional operations, and discloses a visual navigation method based on a tumor interventional operation robot. The method comprises the following steps: acquiring real-time medical image data of a tumor area containing multi-modal imaging information so as to comprehensively present anatomical details; and performing three-dimensional reconstruction on the image data to generate a tumor area three-dimensional anatomical structure model capable of visually displaying a space structure. Key anatomical feature points are extracted based on the model, space coordinates are calculated, a surgical robot intervention path is planned according to the coordinates, and an initial navigation track is generated; and continuously collecting real-time pose data of the robot in an operation, dynamically matching the real-time pose data with the initial navigation trajectory, adjusting motion parameters according to a matching result, and generating a corrected navigation instruction. The method can reflect the intraoperative anatomy condition in real time, dynamically optimize the path, solve the problems that traditional navigation depends on preoperative static images and lacks real-time adjustment, reduce operative complications and improve the treatment effect of patients.

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.

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 discloses a CT scanning patient supporting framework, device and method based on vertical and horizontal dual-purpose adaptation, and relates to the technical field of CT equipment. The direction adjusting supporting structure is arranged on the bottom supporting base structure in a controllable positioning type through connection mode; the two groups of horizontal driving structures are respectively assembled at the top and bottom of the lifting upright post structure; the supporting assembly structure is in transmission assembly connection with the lead screw assembly; and the positioning assembly is arranged on the supporting assembly structure and is connected with the control module through a circuit. The problem that in the prior art, a CT scanning device is poor in adaptability corresponding to different vertical and horizontal states is solved.

To provide an image processing device, an image processing method, and an image processing program that enable a distance of an inner cannula in which a puncture needle projects to be easily checked as compared to a case of manually measuring the distance.SOLUTION: A control part performs processing of displaying a virtual position 36 that a distal end of an inner cannula reaches so as to be superimposed on a CT image 38 on the basis of predetermined distance information to the distal end of the inner cannula when the inner cannula projects from an outer cannula 32.SELECTED DRAWING: Figure 4

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.

Systems and techniques are described for determining at least one of a translational force or a rotational force applied by a dental appliance to a tooth or teeth of a patient. A system includes model teeth configured to represent a portion of a dental arch and receive a dental appliance, a post extending from a first end coupled to a respective tooth to a second end coupled to a base, at least one strain gauge integrally formed on a surface of the post between the first end and the second end, and processor communicatively coupled to the at least one strain gauge and configured to determine at least one of a translational force or a rotational force applied by the dental appliance to the respective tooth.

This invention relates to methods and systems relating to medical diagnostics. In particular, the invention relates to a method of processing data from a medical diagnostic system which comprises a detector arrangement configured to detect interaction of high energy particles with tissue. The method comprises receiving diagnostic data associated with interaction of high energy particles with tissue, wherein the diagnostic data is generated as a result of interaction of the high energy particles and the tissue being detected by the detector arrangement of the medical diagnostic system. The method further comprises processing the received diagnostic data with a trained machine-based classifier in order to facilitate and / or assist a medical diagnosis, wherein the trained machine-based classifier is trained at least with digital diagnostic data generated by a digital twin of the medical diagnostic system, wherein the digital twin is a computer-implemented simulation of at least part of the medical diagnostic system.

The present invention relates to the technical field of dental medical treatment, and specifically discloses a method for using a CBCT (Cone Beam Computer Tomography) for automatically positioning a tooth, which comprises the following steps: S01, archiving CT data; S02, calculating AI and generating AI results; S03, entering CT reading by a client; S04, downloading and loading the CT data; S05, opening a function of a tooth lens; S06, selecting a corresponding tooth position in a tooth position list; and S07, selecting a 3D tooth rendering mode. The function of the ‘tooth lens’ is added into traditional CT reading, which is suitable for clinical disease diagnoses such as ‘tooth extraction, root canal therapy, tooth repair’ and the like in oral treatment, and doctors can precisely and quickly position the single tooth through selection for the tooth position, which facilitates more comprehensive analysis.

The invention discloses an absolute quantitative correction method and device for medical imaging equipment, and relates to the technical field of nuclear medical imaging equipment correction. When the method is executed, the actual activity concentration of the calibration die body injected with the first known tracer activity serves as the first activity concentration; then, the calibration die body injected with the first known tracer activity is collected in medical imaging equipment, and the activity concentration in a first image domain obtained through calculation serves as second activity concentration; and finally, calculating a correction factor based on the first activity concentration and the second activity concentration, wherein the correction factor is used for correcting absolute quantification of the medical imaging equipment. Therefore, the correction factor is calculated by comparing the activity concentration calculated by the medical imaging equipment with the actual activity concentration of the calibration die body, so that the medical imaging equipment can accurately adjust the measurement result according to the correction factor during subsequent absolute quantitative analysis; the effect of improving the absolute quantification accuracy of the medical imaging equipment is achieved.

The invention relates to a cone beam CT imaging scanning parameter determination method and imaging equipment, and the method comprises the steps: designing an optimization model for a microgravity environment, carrying out the optimization processing of the cone beam CT imaging scanning parameters based on a pre-constructed optimization model with the maximum imaging performance as a target, and obtaining the optimal parameters of the cone beam CT imaging. Wherein optimization problem modeling and solving are sequentially carried out in a projection domain and an image domain so as to obtain target scanning parameters meeting constraint conditions, and according to the technical scheme of the invention, aiming at factors such as scanning space and energy consumption in space, requirements of high spatial resolution, compact physical size of equipment, high image quality and low scanning dose are met, and the method and the device have the advantages of being high in efficiency and high in reliability. The method is applied to cone beam CT imaging in the space microgravity environment, and the comprehensive requirements of scientific research, health guarantee and medical service in the space environment are met.

The invention discloses a medical CT (Computed Tomography) communication method for high-precision synchronization of multi-source data and a CT system. Wherein the rotary control unit and the fixed control unit are connected with each other through a private wireless link, take an FPGA / MCU platform as a core, and realize microsecond-level synchronization by utilizing a unified clock source, a hardware timestamp and round-trip delay correction; during scanning, the fixing unit returns multi-source data such as bed codes, electrocardio and high-voltage parameters in real time, and the rotating unit fits and triggers instantaneous bed information based on cached data and sends the instantaneous bed information to the image reconstruction unit after the instantaneous bed information is strictly aligned with detector data. According to the scheme, traditional high-voltage cables and drag chains are replaced, hidden dangers of insulation aging, mechanical abrasion and data interruption are eliminated, and the fault rate is remarkably reduced; meanwhile, motion artifacts are inhibited, and the image definition and real-time performance are improved. Protocol multiplexing and dynamic bandwidth allocation further reduce delay and bit error rate, and support seamless expansion of subsequent modules.

Methods and systems are provided for calibrating a medical imaging system. In one example, a method includes identifying a calibration vector to be updated based on an artifact in an image acquired with the medical imaging system, determining calibration data to be obtained with the medical imaging system based on the calibration vector, obtaining the calibration data with the medical imaging system, and updating the calibration vector based on the calibration data.

A dental X-ray imaging system (100) comprises: a dental X-ray imaging unit (102) having an X-ray source part (114), an X-ray imaging detector part (116) with an X-ray detector, and a gantry part (112) for the X-ray source part (114) and the X-ray imaging detector part (116); and a control system (106). The control system (106) controls the parts of the dental X-ray imaging unit (102) to acquire an X-ray scout image (302) of the patient (300) by using a first, larger part of an active area of the X-ray detector, and to acquire panoramic dental X-ray image data of the patient (300) by using a second, smaller part of the active area of the X-ray detector being respective to the panoramic imaging. A method for a panoramic dental X-ray imaging of a patient (300), a computer program (714), and a tangible non-volatile computer-readable medium are also disclosed.

Embodiments include a system for determining cardiovascular information for a patient. The system may include at least one computer system configured to receive patient-specific data regarding a geometry of the patient's heart, and create a three-dimensional model representing at least a portion of the patient's heart based on the patient-specific data. The at least one computer system may be further configured to create a physics-based model relating to a blood flow characteristic of the patient's heart and determine a fractional flow reserve within the patient's heart based on the three-dimensional model and the physics-based model.

A method, system, and non-transitory storage medium are provided for predicting abdominal aortic aneurysm (AAA) growth in a patient diagnosed with an AAA. A segmented region of interest (ROI) including the aorta and adjacent structures is received by segmenting a set of images. Wall shear stress and luminal thickness parameters are determined. A 3D parametric mesh is generated including multiple concentric 3D mesh layers, each including the same predetermined number of nodes. The generation includes encoding the segmented ROI, wall shear stress, and luminal thickness parameters as features at individual node locations of the 3D parametric mesh. A trained growth prediction machine learning model predicts whether a particular patient will exhibit AAA growth based on at least a subset of the features of the 3D parametric mesh. Training of the growth prediction model is also disclosed.

Systems and methods are disclosed for evaluating a patient with vascular disease. One method includes receiving patient-specific data regarding a geometry of the patient's vasculature; creating an anatomic model representing at least a portion of a location of disease in the patient's vasculature based on the received patient-specific data; identifying one or more changes in geometry of the anatomic model based on a modeled progression or regression of disease at the location; calculating one or more values of a blood flow characteristic within the patient's vasculature using a computational model based on the identified one or more changes in geometry of the anatomic model; and generating an electronic graphical display of a relationship between the one or more values of the calculated blood flow characteristic and the identified one or more changes in geometry of the anatomic model.

An imaging system (MIS), optionally a medical imaging system, with wireless communication capability and related method. The imaging system comprises a gantry (RG) rotatable around a rotation axis. The gantry includes a detector device (D) capable of recording, in plural spatial positions, measurement data in relation to a subject (such as a patient) (PAT) to be imaged. The system also includes a radio transmitter (TX) for generating a directed radio beam propagatable along a propagation axis to transmit the measurement data to a radio receiver (RX). The radio transmitter (TX) is arranged at the rotatable gantry and is operable so that the propagation direction intersects the rotation axis in a location that is situated away from the rotatable gantry.

According to one embodiment, a medical image processing apparatus includes processing circuitry. The processing circuitry acquires correspondence information, based on 3D medical image data of an object, that corresponds a blood vessel to information on a dominant area of the blood vessel in a region of the object. The processing circuitry acquires a plurality of X-ray images each including the blood vessel that are collected at different time phases on the object. The processing circuitry identifies, based on the plurality of X-ray images, a flow changed vessel in which blood flow has changed between the different time phases. The processing circuitry performs registration between the flow changed vessel and the 3D medical image data. The processing circuitry estimates information on the dominant area corresponding to the flow changed vessel based on registration results and the acquired correspondence information.

The invention discloses a PET detector signal simulation generation method based on artificial intelligence, and the method comprises the steps: generating an initial two-photon signal pair which meets the physical constraints of initial energy and time difference through a two-photon signal generator which fuses Transform and U-Net; decoupling the mixed noise into a plurality of independent physical noise components according to a PET noise physical priori library by using a multi-branch decoupling network based on an attention mechanism, and outputting a pure signal and a noise component map; performing linkage adjustment on the pure signal and the noise component according to a target parameter set by a user through a space-time-noise cooperative regulator; and finally, a customized signal data format is adaptively output according to the downstream task type. According to the method, high-fidelity, interpretable and adjustable coincidence event-level signal simulation is realized, the core problems of complex modeling, noise distortion, lack of relevance and poor scene adaptability of a traditional method are effectively solved, and the efficiency and precision of PET detector research, development and test are remarkably improved.

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 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 is provided for assessing and categorizing temporomandibular disorder (TMD). In some cases, the method can include receiving data representing a potential for TMD of a patient. The method can include processing the data to identify an indicator of the TMD. The method can include identifying a treatment recommendation based on the indicator of the TMD. The method can include providing the treatment recommendation for display on a user device.

A system and method for performing a structural heart repair or replacement procedure on a patient includes an augmented reality system, a tracked instrument, a first image acquisition system, and a computer system. The method includes a step of acquiring the first holographic image dataset from the patient. The computer system tracks, in a next step, the tracked instrument using the plurality of sensors to provide a tracked instrument dataset. The method also includes a step of registering the first holographic image dataset and the tracked instrument dataset with the patient. The augmented reality system then renders, in a next step, a first hologram based on the first holographic image dataset from the patient for viewing by a practitioner. The practitioner is thereby permitted to perform the procedure on the patient while viewing the patient and the first hologram with the augmented reality system.

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.

The invention provides a dynamic PET image and kinetic parameter prediction method and device and a storage medium. The method comprises the steps that first N frames of dynamic PET image data are obtained and preprocessed to obtain a standard image sequence; and inputting the standard image sequence into the prediction model to obtain subsequent frame dynamic PET image data and a corresponding kinetic parameter map. The prediction model comprises an image structure sensing channel for extracting image structure features, a dynamic modeling channel for extracting dynamic parameter features, a cross fusion module for fusing the image structure features and the dynamic parameter features, and a prediction reconstruction module for performing prediction reconstruction based on a fusion result. The method has the advantages that image structure features and kinetic parameter features can be fused on the basis of the dynamic PET image early-stage frames, scanning time and radiation dose are reduced, and meanwhile follow-up frame dynamic PET image data with high image quality and dynamic interpretability and the corresponding kinetic parameter atlas are generated.