1968results about "Radiation diagnostics" patented technology

In a measurement processing apparatus for measuring a geometric feature of an object image: a measurement-reference-element setting unit automatically sets at least one first measurement reference element for use in measurement of the geometric feature of the object image, at at least one first position on the object image based on first image data representing the object image and position information indicating at least one second position of at least one second measurement reference element which is set on a measurement reference image corresponding to the object image; and a geometric-feature measurement unit measures the geometric feature of the object image based on the at least one first position of the at least one first measurement reference element.

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.

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.

Example systems and techniques are disclosed that may determine at least one treatment strategy for a lesion. An example system may include memory configured to store clinical guidance and / or informatics for a PCI procedure and processing circuitry communicatively coupled to the memory. The processing circuitry may be configured to determine the plurality of treatment pathways. The processing circuitry may be configured to obtain angiogram imaging data of a coronary vasculature of a patient. The 2024 / 058837 processing circuitry may be configured to determine the clinical guidance and / or informatics based at least in part on the angiogram imaging data. The processing circuitry may be configured to output for display the angiogram imaging data and at least a portion of the clinical guidance and / or informatics, wherein the at least a portion of the clinical guidance and / or informatics is overlaid onto the angiogram imaging data.

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 provides an auxiliary tooth separation method and system for minimally invasive tooth extraction, and relates to the technical field of digital surgery in stomatology. According to the method, the oral anatomy three-dimensional electronic model is obtained by performing deep learning segmentation and three-dimensional reconstruction on the preoperative CBCT image, and the real-time spatial position and posture of the jaw bone are updated in combination with laser oral scanning of the preoperative anterior tooth area. On the basis, a three-dimensional simulation model is constructed, tooth division cutting path planning, interference judgment and dislocation space analysis are completed, precise tooth division cutting is implemented by a three-way mechanical arm along the planned path, and the safe and controllable automatic tooth extraction and tooth division process is completed in cooperation with water cooling and real-time track correction.

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.

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.

A method for training an algorithm for machine learning for a correction of recordings obtained by an imaging apparatus. A number of output images are recorded. Moreover a smaller number of first, high-quality scattered radiation images are simulated from the output images. A corresponding number of second, low-quality scattered radiation images is further simulated, wherein the simulation is undertaken with a number of photons reduced by at least an order of magnitude. The algorithm is trained with the second, low-quality scattered radiation images as input data and the first, high-quality scattered radiation images as output data.

A system for longitudinal assessment of nerve health includes a stimulator to deliver electrical stimuli proximate a target nerve, a sensor to detect muscle responses evoked by the stimuli, a display, and a processor in communication with the stimulator, sensor, and display. The processor controls delivery of the stimuli; determines, from the detected muscle response, one or more nerve-function parameters for the target nerve including at least a stimulation threshold; stores the parameters with a session identifier; retrieves parameters from multiple sessions to compute a longitudinal trend; and controls the display to present the trend together with an indication of the target nerve's status relative to a target range. The system supports objective session-to-session tracking to inform clinical decisions.

Described herein are devices, systems, and methods for presenting morphological structures of a subject, comprising(a) providing one or more intraoral videos or images of the subject, wherein the one or more intraoral videos or images comprise at least a portion of the tooth of the subject;(b) providing a dental imaging image, wherein the dental imaging image comprises (i) at least a portion of the tooth and (ii) the morphological structure of the tooth not visible in the one or more intraoral videos or images;(c) matching the tooth of the one or more intraoral videos or images with the corresponding tooth of the dental imaging image; and(d) adding a marking showing the morphological structure of the tooth to the one or more intraoral videos or images.

One or more example embodiments relates to a gantry for a computed tomography device, the gantry comprising an opening forming a tunnel extending along a system axis of the gantry; a first gantry part including an X-ray source configured to produce X-ray radiation, the first gantry part annularly surrounding the opening; a second gantry part supporting the first gantry part; a linear guide, the first gantry part is movably mounted via the linear guide such that a translational movement of the first gantry part relative to the second gantry part is executable along the system axis; a threaded spindle, the threaded spindle is rotatably mounted about a spindle rotation axis via a spindle rotary bearing relative to the second gantry part, the spindle rotation axis is parallel to the system axis; a screw drive, the screw drive is configured to convert a rotational movement of the threaded spindle.

A computer-implemented method for determining an estimation of a two-dimensional scattered radiation distribution in a two-dimensional X-ray image that is based on an imaging procedure performed by an X-ray detector is provided. The method includes receiving the X-ray image, applying an estimation algorithm to the X-ray image or to a two-dimensional intermediate image determined from the X-ray image. The estimation algorithm determines a respective two-dimensional partial scattered radiation image for a plurality of physical scatter processes such that image values of pixels of the respective partial scattered radiation image in each case describe an estimated value for a respective scattered radiation dose that was applied to a respective detector region of the X-ray detector assigned to the respective pixel during acquisition of the X-ray image by the respective physical scatter process. The estimation of the scattered radiation distribution is determined based on the plurality of partial scattered radiation images.

The present disclosure provides methods and system for generating perspective data between two or more oral representations, comprising: presenting a first oral representation and a second oral representation on a digital display, wherein the second oral representation is configured to be manipulated by a user via a user input device; and generating perspective data between the manipulated second oral representation and the first oral representation, wherein the second oral representation is overlaid on the first oral representation such that the first representation is still visible on the digital display.

Example methods and systems for kinematic calibration of a treatment couch for radiation therapy are described. In one example, a computer system may generate and send first instruction(s) to cause the treatment couch to move towards each of multiple calibration poses. The treatment couch may be associated with a kinematic model. The computer system may determine multiple measured poses that are associated with the respective multiple calibration poses. Next, the computer system may determine geometric correction data for updating the kinematic model based on the multiple measured poses. The computer system may then generate and send second instruction(s) to update the kinematic model associated with the treatment couch based on the geometric correction data.

Apparatuses and methods are provided for displaying the position of a dental file during endodontic treatment. Data showing the morphology of a tooth is obtained. In one embodiment, the data is X-ray image data. A three-dimensional representation of the dental file positioned in the tooth is generated, and a length that the dental file extends from an upper surface of the tooth is determined from the three-dimensional representation. A representation of the dental file is provided in the image of the tooth obtained from the data showing the tooth morphology, with the representation of the dental file being depicted such that a part of the representation of the dental file extends from the upper surface of the tooth in proportion to the length that the dental file extends from the upper surface of the tooth as determined from the three-dimensional representation and such that a remaining part of the representation of the dental file extends into the tooth, with a part of the remaining part of the representation of the dental file being positioned in the root of the tooth in the image. The image of tooth and representation of the dental file may be displayed.

The invention provides a dynamic self-adaptive range compensator imaging system, which belongs to the technical field of particle imaging equipment, and comprises a particle track detection module used for screening particles directly penetrating through a detector, reconstructing the track and direction of particle motion, and obtaining the energy and position information when particles are incident; the self-adaptive range compensation module is used for realizing dynamic self-adaptive compensation of the particle residual range by adjusting the effective thickness of the compensator so as to receive the particle signal and obtain the residual range corresponding to the residual energy when the particle penetrates out of the imaged object; wherein the effective thickness of the compensator refers to the thickness of the compensator in the particle incidence range along the particle incidence direction; and the image processing module is used for calculating and outputting an image according to the residual range of the imaged object under the conditions of different positions and angles. Through the dynamic compensator, (quasi) continuous range compensation is realized, the precision is improved, and a better detection effect is realized while the cost is reduced.

A diagnostic device (10) for guiding a doctor in performing diagnostic procedures on a patient's body comprises a main body (12) having a top surface (13) and a bottom surface (14), with one or more user output modules (22) positioned on the top surface (13) and a set of sensors comprising peripheral sensors (16) and diagnostic sensors (18) arranged on the bottom surface (14). A processor (302) executes instructions stored in a memory (306) for receiving and processing preliminary inputs about the patient through a preliminary data acquisition module (307), determining a target body region and starting point, and performing scans to determine boundaries and examine specific organs. The device employs an artificial intelligence / machine learning (AI / ML) engine (310) to generate real-time audio, visual, and haptic instructions for guiding the operator, process multiple data streams, identify abnormalities, and provide diagnostic recommendations.

A measuring device (10) for measuring the concentration of a gas (22) or a gas mixture (24) is described, comprising a Raman spectroscopy device (30) with at least one gas measurement chamber (20, 56) for the gas (22) or the gas mixture (24), which has one or more optical inlets (28) and one or more optical outlets (30), with a gas supply line (4) for continuously supplying the measurement gas to the gas measurement chamber (20, 56) during the concentration measurement, wherein this Raman spectroscopy device (30) comprises a powerful, coherent and monochrome light source (14), in particular a laser diode (16), which is used for focused illumination of the gas (22) or the gas mixture (24) in the at least one gas measurement chamber (20, 56). 56) is trained.It is essential that the measuring device (10) for measuring the concentration of a trace gas (1) has a separate trace gas measuring device (2) for measuring at least one trace gas (1).

A method, system, device and storage medium for measuring and classifying CT-FFR, dividing lesions into different types according to coronary artery computed tomography angiography (CCTA) images, determining lesion lengths at lesion positions according to different lesion types, and determining the lesion lengths at the lesion positions according to different lesion types. Then, the measurement range of computed tomography fractional flow reserve is determined according to the focus lengths of different lesion types, a statistical matrix is established to calculate the numerical values of all computed tomography fractional flow reserve CT-FFR in the measurement range, and finally, hemodynamic classification is conducted on calculation results. According to the CT-FFR evaluation method, the accuracy and the stability of CT-FFR evaluation are enhanced by carrying out pathological change specificity classification on the pathological change in the haemodynamics sense, interference is reduced, and a more reliable solution is provided for clinicians and patients.

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.

A robotic interventional device control system includes an interventional device comprising a longitudinal axis and configured to rotate about the longitudinal axis; a controller configured to control rotational movement of the interventional device about the longitudinal axis; at least one sensor configured to detect rotational movement of the interventional device about the longitudinal axis; and one or more hardware processors configured to receive motion data from the at least one sensor, the motion data indicative of whether the interventional device is rotating. The one or more hardware processors are further configured to generate a user interface comprising an instrument window having a representation of the interventional device and an interventional device marker associated with the representation of the interventional device. The interventional device marker includes a radial progress indicator configured to provide a visual indication of a degree of rotation relative of the interventional device about the longitudinal axis.

The invention relates to a spinal degenerative disease grading early warning and rehabilitation management system and method, and belongs to the technical field of medical equipment. The system comprises a system control module, a first-stage detection module, a second-stage detection module, a third-stage detection module, a data processing module, an evaluation module and a rehabilitation management module. The first-stage detection module is used for acquiring foot pressure distribution data of a patient; the secondary detection module collects electromyographic signal data of muscles around the spine of the patient; the third-stage detection module is used for collecting vertebral bone mineral density data of the patient. The data processing module is used for preprocessing and analyzing the collected data; the evaluation module is used for carrying out grading evaluation on the spinal degenerative lesion; and the rehabilitation management module formulates a personalized rehabilitation scheme according to the evaluation result. The system adopts a logic mechanism of hierarchical detection and hierarchical intervention, automatically adjusts intervention measures according to different evaluation indexes, and realizes accurate rehabilitation management. The risk of spinal degenerative diseases is found in an early stage, a targeted rehabilitation scheme is provided, and spinal diseases are effectively prevented and managed.

A processor acquires two radiation images with contrast based on a first characteristic corresponding to a first imaging condition. It derives a body thickness distribution of a subject from at least one of the images and removes scattered ray components from both images using the first characteristic. A soft part image and a bone part image representing respective regions of the subject are derived from the two images. These images, based on the first characteristic, are converted into soft and bone part images with contrast based on a second characteristic corresponding to a second imaging condition, using the body thickness distribution and both characteristics. Finally, the processor adds the converted soft and bone part images to derive a processed radiation image with contrast based on the second characteristic.

An X-ray imaging system and an imaging method thereof. A bed platform supports an object under examination in a supine posture along a first direction and has first and second sides along the first direction; an X-ray head is capable of being positioned at the first side via a first support assembly, and a detector is capable of being positioned at the second side via a second support assembly, such that the X-ray and detector face a lateral view of the object to obtain a lateral X-ray image; in response to an exposure instruction for a first body part to be stitched, the X-ray head and detector are controlled to cooperatively image the first body part to obtain at least two lateral X-ray images stitched to obtain a radiograph. This enables imaging and stitching of the lateral view of the object laid supine.

A method and a system for generating a multimodal diagnostic output related to a pathological condition of a patient includes at least one processor and a memory storing instructions executable by the processor to receive medical image data and narrative data of the patient. The medical image data is preprocessed through normalization, while the narrative data is standardized to ensure consistency. The preprocessed image data is input into a trained deep residual network (ResNet) to extract quantitative imaging features indicative of the pathological condition. In parallel, the preprocessed narrative data is input into a thematic analysis module to derive thematic codes reflecting emotional, cognitive, or social factors of the patient. The extracted imaging features and thematic codes are fused into a combined feature vector, which is processed by an integrated diagnostic model to generate a multimodal diagnostic output that enhances clinical precision and contextual interpretation.