88 results about "Anatomical charts" patented technology

A system and method for assessing effective delivery of ablation therapy to a tissue in a body is provided. A three-dimensional anatomical map of the tissue is generated and displayed with the map defining a corresponding volume. An index is generated corresponding to a location within the volume with the index indicative of a state of ablation therapy at the location. The index may be derived from one or more factors such as the duration an ablation electrode is present at the location, the amount of energy provided, the degree of electrical coupling between an ablation electrode and the tissue at the location and temperature. A visual characteristic (e.g., color intensity) of a portion of the anatomical map corresponding to the location is then altered responsive to the index.

An automated adaptive radiotherapy system based on machine learning for designing and adapting personalized dosing plans and a corresponding system, the system comprising: • a data acquisition module to collect multimodal patient data such as anatomical images, genomics, physiological signals and electronic health records; • a preprocessing department that performs the normalization, alignment, segmentation and transformation of the acquired data into data structures suitable for predictive modeling; • a dose prediction engine containing at least one machine learning model trained to predict personalized three-dimensional radiotherapy dose distributions and dose-volume histograms from the preprocessed data; • an adaptation module to receive updated clinical data and automatically adapt the dosing schedule to intra-fraction and inter-fraction changes in patient anatomy and response to treatment; • a clinician dashboard that displays predicted dosing schedules, allows clinician interaction, and can make the model interpretable through explainable AI; • a data security and compliance layer that protects data through encryption, access control, and regulatory compliance.

A framework for registering anatomical to functional images using deep learning. In accordance with one aspect, the framework extracts features by applying an anatomical image and a corresponding functional image as input to a first trained convolutional neural network. A deformation field is estimated by applying the extracted features as input to a second trained convolutional neural network. The deformation field may then be applied to the anatomical image to generate a registered anatomical image.

System and method for lidar-based anatomical mapping is provided. In one implementation, a LIDAR imaging technology is utilized to create a surface-based anatomical map of an exposed anatomical surface of at least a portion of the spine, or other anatomical features, using anatomical and / or artificial landmarks are disclosed. The surface mapping can then be registered with previously acquired images of at least the portion of the spine, or other anatomical features. The surface mapping can then be used to identify important structures, including an entry point in tissue (including soft tissue and bone) for the placement of a medical instrument or implant, or for Information the orientation of a medical instrument or device. The information can be displayed in an augmented reality overlay on a device display (e.g., wearable eyeglasses). The LIDAR imaging technology may be incorporated into wearable eyeglasses.

To visualize analysis quality in an electric anatomical (EA) map.SOLUTION: A method includes reception of an electric anatomical (EA) map of at least a part of a cardiac ventricle. Quality of EA analysis of the EA map is scored. On the basis of scoring, one or more regions are identified in a mapped part which is mapped as the part where defined quality reference is not satisfied. One or more regions are displayed on the EA map displayed for a user.SELECTED DRAWING: Figure 1

The disclosure generally relates to systems, devices and methods to facilitate image-guided medical treatment and / or diagnostic procedures (e.g., surgery or other intervention among other considered medical usages), and to the generation of current and / or accurate anatomical images for facilitating image-guided medical treatment and / or diagnostic procedures (e.g., surgery or other intervention) and calibration and registration of imaging modalities (e.g., tomographic, volume-imaging and / or fluoroscopic modalities) used in such medical treatment and / or diagnostic procedures.

A system includes a display and a processor configured to communicate with the display and a medical imaging device. The processor is configured to receive an anatomical image frame obtained by the imaging device during live imaging and identify a plurality of measurement points of an anatomical feature in the anatomical image frame. The identification of a first measurement point is performed by a neural network trained to identify where a measurement point is located within the anatomical image frame such that the measurement point is automatically identified without user input. The processor is further configured to generate a measurement value of the anatomical feature based on the measurement point, and output a screen display based on the measurement value.

A method comprising the steps of: providing a plurality of visual findings in one or more anatomical images of a subject, wherein the plurality of visual findings are generated using a convolutional neural network, CNN, component of a neural network, wherein a 5 subset of the generated visual findings represents a set of priority findings; providing a first classification list for the plurality of visual findings, to associate a first clinical ranking to the set of priority findings, respectively; providing a second classification list wherein the second classification list is user configurable; assigning a clinical ranking to the set of priority findings, using at least one of the first and second classification 10 lists; combining the set of priority findings and their respectively assigned clinical ranking to form triage data; and to generate, using the triage data, an output that represents a re-ordered worklist.

The invention discloses a death reason discrimination method based on a virtual anatomical image, and the method comprises the following steps: S1, data preprocessing: obtaining to-be-discriminated corpse CT image data, and carrying out the preprocessing; s2, feature extraction: inputting the preprocessed three-dimensional image data into a three-dimensional convolutional neural network model for feature extraction, and obtaining a feature vector through forward propagation of the three-dimensional convolutional neural network model; s3, judging a death reason: inputting the feature vector into a classifier for classification to obtain a probability value of each death reason category corresponding to the CT image data, and selecting the category with the highest probability value as a death reason; and S4, interpretability analysis: performing interpretability analysis on a death reason judgment result of the three-dimensional convolutional neural network model by using an LIME algorithm to generate a saliency map. According to the method, the features can be automatically extracted from the virtual anatomical image and the death reason is judged, so that the efficiency of forensic identification is improved.

The method includes receiving or generating (i) a volumetric map of at least a portion of a cavity of a body organ including a plurality of mapping locations, and (ii) ablation locations within the cavity. The volumetric map is updated by removing a portion of the mapping locations such that the ablation locations within the cavity fall on a surface of the volumetric map. Using the updated volumetric map, a map of at least a portion of the cavity is generated including the ablation locations located on a surface of the updated volumetric map. The map is displayed to a user.

Methods for operating a medical imaging device for positionally correct representation of non-anatomical structures during an imaging examination may include providing a first 3D image containing at least one anatomical structure, extracting at least one anatomical model from the at least one anatomical structure, providing 2D update images recorded at different times, extracting non-anatomical and anatomical structures from subsets of the update images, calculating a non-anatomical 3D image from at least two partial reconstructions based on the extracted non-anatomical structures, reconstructing an anatomical 3D image based on the extracted anatomical structures, registering the anatomical 3D image with the first 3D image by determining a coordinate transformation, and creating a navigation volume from the anatomical model and the non-anatomical 3D image using the coordinate transformation.

An imaging system, including a head-mounted display worn by a system operator. A marker defines a plane when attached to a human subject. Optically reflective elements are disposed on the marker and on opposing sides of the plane in a non-symmetrical arrangement with respect to the plane. A memory stores a graphical representation of a tool used in a procedure performed on the human subject, and an image of anatomy of the human subject. A camera attached to the display acquires an image of the marker and the tool. A processor analyzes the image to identify the plane and to identify a side of the plane wherein the camera is located, and to render to the display the image of the anatomy of the human subject with the graphical representation of the tool superimposed thereon from a point of view in the identified side of the plane.

The present invention discloses a method for constructing a gene information query system. The method comprises: obtaining initial data information of an original gene information query system; classifying alleles in the initial data information, and providing a specific description of the biological significance of different types of alleles and the different biological effects produced by different allele combinations; drawing an anatomical diagram of a target object and annotating corresponding body parts of the target object in the anatomical diagram to obtain complete data information of the target object; determining the data structure of a relational database based on the complete data information of the target object; constructing a target gene information query system based on the data structure; and outputting a node link diagram, a table structure, and a highlight image of the relevant parts of the target object corresponding to an operation instruction on a web terminal according to the target gene information query system in response to an operation instruction. The present invention reduces computational complexity, improves accuracy, and can be widely applied in the field of computer technology.

The invention discloses an anatomy teaching system and method based on VR, relates to the technical field of VR anatomy teaching, solves the problem that in anatomy teaching based on the VR technology, it is difficult to observe human anatomy during movement and reveal the complex movement law of the human body, integrates a motion capture system, a computer system and a projector, and improves the teaching efficiency. Firstly, the system utilizes an infrared camera module, a tracking module and a high-precision motion capture device to accurately capture kinematics data of a human body, and anatomical positioning points are positioned one by one and projected according to human bony marker positioning points and anatomical picture resources needing to be displayed; the function not only improves the dynamic expressive force of teaching content, but also ensures the accuracy of anatomical structure display, avoids the limitation that a static model cannot display complex dynamic information in traditional teaching, and secondly, the system can realize projection following the human body position in movement.

A method includes receiving an anatomical map of wall tissue of at least a portion of a cardiac chamber, the map superimposed with a grid of ablation tags that are graphically encoded according to respective levels of ablation of the wall tissue. Upon placing a multi-electrode ablation catheter in a vicinity of the wall tissue, one or more of the ablation tags are graphically re-encoded according to (i) existing levels of ablation associated with the tags and (ii) electrode proximity to wall tissue locations associated with the tags. The anatomical map, having the re-encoded ablation tags, is displated to a user.

A system for identifying vortices in a vector map including multiple vectors, the system includes a processor and an output device. The processor is configured to: (i) define one or more closed loops on the vector map, and (ii) for each closed loop, identify a plurality of the vectors that cross the closed loop, calculate a vector sum of the identified vectors, and decide based on the vector sum whether a vortex is located inside the closed loop. The output device is configured to indicate one or more identified vortices to a user.

The digital twinning method of the anatomical structure comprises the steps that medical image data of the anatomical structure is analyzed, a three-dimensional array and metadata are obtained, the three-dimensional array comprises density information or gray information of the anatomical structure at different spatial positions, and the metadata comprises voxel sizes; performing live-action rendering on the three-dimensional array to obtain an anatomical picture; generating a scene file based on the metadata, the three-dimensional array and the anatomical picture; and rendering the scene file to obtain the digital twin of the anatomical structure capable of being presented in the set physical space. The digital twinning method of the anatomical structure can generate a high-fidelity digital twinning body of the anatomical structure. The invention further provides a digital twinning system of the anatomical structure.

A method includes receiving or generating an anatomical map of wall tissue of at least a portion of a cardiac chamber, the map superimposed with ablation tags at locations of ablated wall tissue. Upon placing an ablation catheter having one or more electrodes in a vicinity of the wall tissue, at least one electrode among the one or more electrodes is identified, that violates a location proximity criterion to one or more of the ablation tags. The identified at least one electrode is graphically encoded. The anatomical map showing the graphically encoded at least one electrode is displayed to a user.

The application relates to the technical field of rehabilitation image processing, and provides a rehabilitation treatment dynamic digitalization auxiliary method based on a graphics algorithm and deep learning. The application aligns real-time collected local images with standard anatomical structures in a rehabilitation anatomical atlas library in high precision by constructing and training an image algorithm comparison deep learning model, matches the deep local anatomical tissues to a display terminal through a local image capture post-processing algorithm and a comparison image matching algorithm, so that a therapist can observe the deep local anatomical tissues in real time during operation, and the accuracy of anatomical positioning and the safety of treatment are improved. By constructing and training a rehabilitation clinical treatment algorithm matching learning model, combining collected clinical data and a rehabilitation clinical standard path knowledge base, rehabilitation diagnosis, rehabilitation treatment list preparation and associated anatomical image output are completed, and are synchronously output to a display terminal, so as to adapt to the operation needs of clinical dynamic precise rehabilitation.

A medical apparatus and method of using the same allowing a user to capture a medical image and add a human anatomy diagram overlay on the medical image to specify each image's position on its own version of the diagram and display a small version of the diagram on the image, incorporated by reference in their entirety herein U.S. Pat. No. 8,924,864 and U.S. Pat. No. 10,638,089.

A landmark registration registers landmark points of navigation guidance information for performing a navigational guidance of a surgery procedure. The registration operation comprises a landmark point identification procedure and a landmark matching procedure. In particular, the present case is directed to automatically identifying three or more landmark points in an anatomy image by using a model according to shapes of a bone ridge depicted in the anatomy image. A graphical user interface enables interactively confirming locations of the three or more landmark points in the anatomy image. Given the identified three or more landmark points, the present case further describes interactively matching respective locations of the respective landmark points in the anatomy image with physical locations of a probe tip in anatomy according to deviation information of the probe tip. The automated identification and the interactive matching of landmark points enable generating navigational surgical guidance information with accuracy.

A computer-implemented method provides real-time visual feedback of intraluminal catheter engagement within a luminal organ of a patient. A catheter with electrodes on a distal end assembly is positioned in the organ, and a three-dimensional (3D) model of the internal surface is generated and rendered as a 3D anatomical map. For each electrode, a proximity value indicative of distance to a tissue wall is determined based at least on measured impedance and translated into a graphical attribute value. A continuous proximity visualization feature is formed by sequencing the graphical attributes according to electrode positions, representing proximity variations. The feature is projected onto the 3D anatomical map, creating an integrated graphical representation displayed on a computer display. The visualization is dynamically updated in response to impedance changes, providing real-time feedback on catheter contact with the tissue wall.

Electronic devices and methods are provided for disease prognosis using a neural network model and based on demographic information and anatomical images. An electronic device receives demographic information associated with a person. A patient associated with the anatomical region of the person is determined based on application of the first neural network model on the demographic information. A second neural network model is selected from a set of neural network models based on the determined patient. A second neural network model is applied on the received first set of images associated with the anatomical region of the person to determine a first disease severity corresponding to the determined patient. The second neural network model is different from the first neural network model. A display device associated with the electronic device is controlled to present information about the determined severity of the first disease and the determined patient.

A system and method for shaving an anatomical map. A reference image is compared to the - anatomical map using an accuracy parameter, and at least one area in the anatomical map that fails to meet the accuracy parameter is identified. An image of the electro-anatomical map is displayed, where the image provides a visual indication of the at least one area in the anatomical map that fails to meet the at least one accuracy parameter. A revised map is generated by shaving the at least one area in the anatomical map that fails to meet the at least one accuracy parameter, and the revised map is displayed.

A system and method are provided for creating both angiographic images of a subject and dynamic images of the subject from imaging data acquired during an imaging acquisition. The method includes operating an imaging system to perform an imaging acquisition by delivering interspersed doses of high doses of the ionizing radiation and low doses of the ionizing radiation, wherein more low doses of the ionizing radiation are delivered than high doses of ionizing radiation during the imaging acquisition to thereby acquire the imaging data with a high frame rate of low dose data and a low frame rate of high dose data. The method also includes generating at least volumetric angiographic images of the subject and dynamic images of the subject from the imaging data.

A landmark registration registers landmark points of navigation guidance information for performing a navigational guidance of a surgery procedure. The registration operation comprises a landmark point identification procedure and a landmark matching procedure. In particular, the present case is directed to automatically identifying three or more landmark points in an anatomy image by using a model according to shapes of a bone ridge depicted in the anatomy image. A graphical user interface enables interactively confirming locations of the three or more landmark points in the anatomy image. Given the identified three or more landmark points, the present case further describes interactively matching respective locations of the respective landmark points in the anatomy image with physical locations of a probe tip in anatomy according to deviation information of the probe tip. The automated identification and the interactive matching of landmark points enable generating navigational surgical guidance information with accuracy.

A computer-implemented method provides real-time visual feedback of intraluminal catheter engagement within a luminal organ of a patient. A catheter with electrodes on a distal end assembly is positioned in the organ, and a three-dimensional (3D) model of the internal surface is generated and rendered as a 3D anatomical map. For each electrode, a proximity value indicative of distance to a tissue wall is determined based at least on measured impedance and translated into a graphical attribute value. A continuous proximity visualization feature is formed by sequencing the graphical attributes according to electrode positions, representing proximity variations. The feature is projected onto the 3D anatomical map, creating an integrated graphical representation displayed on a computer display. The visualization is dynamically updated in response to impedance changes, providing real-time feedback on catheter contact with the tissue wall.

A landmark registration registers landmark points of navigation guidance information for performing a navigational guidance of a surgery procedure. The registration operation comprises a landmark point identification procedure and a landmark matching procedure. In particular, the present case is directed to automatically identifying three or more landmark points in an anatomy image by using a model according to shapes of a bone ridge depicted in the anatomy image. A graphical user interface enables interactively confirming locations of the three or more landmark points in the anatomy image. Given the identified three or more landmark points, the present case further describes interactively matching respective locations of the respective landmark points in the anatomy image with physical locations of a probe tip in anatomy according to deviation information of the probe tip. The automated identification and the interactive matching of landmark points enable generating navigational surgical guidance information with accuracy.