72 results about "Anatomical charts" patented technology

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.

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.

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.

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.

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.

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.

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.

Systems and methods are disclosed for predicting coronary plaque vulnerability, using a computer system. One method includes acquiring anatomical image data of at least part of the patient's vascular system; performing, using a processor, one or more image characteristics analysis, geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis on the anatomical image data; predicting, using the processor, a coronary plaque vulnerability present in the patient's vascular system, wherein predicting the coronary plaque vulnerability includes calculating an adverse plaque characteristic based on results of the one or more of image characteristics analysis, geometrical analysis, computational fluid dynamics analysis, and structural mechanics analysis of the anatomical image data; and reporting, using the processor, the calculated adverse plaque characteristic.

A system (102) includes a spatial mismatch correction module (168) configured to receive functional transmission data, anatomical image data, and functional image data that is reconstructed based on the functional transmission data and attenuated based on the anatomical image data. The system also includes a dataset provider (502) configured to provide the first dataset and the second dataset that are spatially mismatched. The system also includes a voxel-of-interest identifier (512) configured to identify voxels or regions of reconstruction inconsistency due to a spatial mismatch between a real attenuation value and an attenuation value derived from the anatomical image data based on a relationship between the first data set and the second data set. The system also includes an image data generator (614) configured to deform the functional image data based on the identified voxels or regions and generate corrected functional image data independent of the functional-anatomical correlation while maintaining image quality of the functional image data.

A method includes obtaining functional and anatomical image data sets from a subject acquired at different dates. The method includes receiving a volumetric coordinate of interest in a specified functional and anatomical image data set. The method includes generating a 3D feature matching map for at least one functional feature layer type and for at least one anatomical feature layer type for each non-specified functional and anatomical image data set relative to the specified functional and anatomical image data set utilizing the volumetric coordinate of interest. The method includes generating a best matching coordinate and a corresponding confidence metric value for each 3D feature matching map. The method includes calculating an optimal matching coordinate to the volumetric coordinate of interest based on the best matching coordinates and their corresponding confidence metric values and outputting a respective optimal matching coordinate for each of the non-specified functional and anatomical image data sets.

This computer system provides real-time, continuous graphical proximity feedback based on changes in electrical impedance sensed by the electrodes of a catheter. [Solution] The computer implementation method provides real-time visual feedback of intraluminal catheter engagement within a patient's luminal organ. A catheter with electrodes on its distal end assembly is positioned within the organ, a 3D model of its internal surface is generated, and it is rendered as a 3D anatomical map. For each electrode, a proximity value indicating the distance to the tissue wall is determined based on at least measured impedance and converted into a graphical attribute value. Continuous proximity visualization features are formed by ordering graphical attributes according to electrode positions representing variations in proximity. The features are projected onto the 3D anatomical map, creating an integrated graphical representation displayed on a computer display.

The application discloses a method and a navigation system for navigation of two intracranial operation instruments, the method comprising: acquiring an anatomical image; marking a surgical path in the anatomical image; registering the anatomical image in an optical coordinate system based on a pose of a first optical tracker in the optical coordinate system and a pose in an image coordinate system of the anatomical image; acquiring a pose of a second optical tracker in the optical coordinate system by using an optical navigation device; acquiring a pose of a third optical tracker in the optical coordinate system by using the optical navigation device, obtaining a pose of a first electromagnetic sensor in the optical coordinate system based on the pose of the third optical tracker in the optical coordinate system, a pose relationship between a magnetic field generator and the third optical tracker, and a pose of the first electromagnetic sensor relative to the magnetic field generator; calibrating the pose of the first electromagnetic sensor; and obtaining a pose of a first instrument in the optical coordinate system and a calibrated pose of a second instrument in the optical coordinate system.

The utility model relates to a partitioned collection device, in particular to a head and neck lymph partitioned collection device. The device comprises a box body and an outer cover, and the box body and the outer cover are connected in a hinged mode. A containing cavity is formed in the box body, a plurality of containing grooves are formed in the containing cavity, a matched inner cover is movably connected to the top of the containing cavity, sealing rubber strips matched with the containing grooves in arrangement are arranged on the side, close to the containing grooves, of the inner cover, and a head and neck lymph node ten-partition anatomical map is arranged on the inner surface of an outer cover. And the arrangement of the plurality of placing grooves is matched with an anatomical map of ten regions of head and neck lymph nodes. Compared with the prior art, the utility model has the advantages that the sealing effect is better, more accurate zoning contrast and collection of head and neck lymph node samples can be realized, the accuracy of the mobile phone is higher, and the like.

Method for generating a result map correlated with anatomical image data (16a, 16b, 16c), comprising the following process steps: - Providing spatially resolved result values ​​(17) based on anatomical image data and / or medical data from which anatomical image data can be reconstructed, which result values ​​(17) lie within a value range (12), - Determining a frequency of the provided result values ​​(17) depending on the result values ​​(17) within the range of values ​​(12), whereby each result value (17) encompassed by the range of values ​​(12) is assigned a frequency with which this result value (17) occurs within the area of ​​investigation and / or a further area, - Selection of a subrange (10) of the value range (12) based on the frequency of the provided result values ​​(17), - Assignment of a color code (14) to the result values ​​(17) of the value range (12) outside the subrange (10), - Generation of the result map (16a, 16b, 16c) by assigning a result value (17) according to the assigned color coding (14) its spatially resolved position in relation to the anatomical image data.

One method involves using a processor to identify the septum and left atrial appendage (LAA) of a patient's heart in an anatomical diagram of at least a portion of the heart. An access surface is defined on the anatomical diagram through which a medical device engages with the LAA, the device to be delivered via a sheath penetrating the septum. The normal to the access surface is calculated. Multiple curves are calculated, each curve having (i) an end tangent to the normal, (ii) a second end contacting the septum, and (iii) conforming to specific mechanical properties of the sheath. Multiple candidate locations on the septum are derived from these curves for transseptal puncture using the sheath. These multiple candidate locations are presented to a user.