34 results about "Anatomic region" patented technology

The invention provides devices, systems and methods for tissue approximation and repair at treatment sites. The devices, systems and methods of the invention will find use in a variety of therapeutic procedures, including endovascular, minimally-invasive, and open surgical procedures, and can be used in various anatomical regions, including the abdomen, thorax, cardiovascular system, heart, intestinal tract, stomach, urinary tract, bladder, lung, and other organs, vessels, and tissues. The invention is particularly useful in those procedures requiring minimally-invasive or endovascular access to remote tissue locations, where the instruments utilized must negotiate long, narrow, and tortuous pathways to the treatment site. In addition, many of the devices and systems of the invention are adapted to be reversible and removable from the patient at any point without interference with or trauma to internal tissues.

Surgical planning based on a three-dimensional (3D) model includes obtaining a 3D model of an anatomical region, wherein the anatomical region includes the patient's anatomical features; identifying at least one deformity, wherein the at least one deformity is identified with respect to a target anatomical value of the patient's anatomical features, wherein the target anatomical value includes a desired range into which the anatomical measurement should fall; and using the anatomical measurement, determining at least one planar correction to be made to at least one anatomical structure of the patient. Generating a 3D model using two-dimensional (2D) imaging data may include performing anatomical context processing, which includes annotating the model, contours, edges, or surfaces of the anatomical structure, as well as performing 2D-to-3D reconstruction to optimize the orientation, placement, and scale of the 3D digital volume modeling the anatomical structure, resulting in a 3D anatomical representation of the anatomical region as a 3D model.

Method (3000), implemented by computer, for classifying handwriting into a plurality of membership classes C_j, each of which corresponds to a particular anatomical area Z_i of the palmar surface of a hand, said method (2000) takes, as input data (I3000), at least one handwriting D, and provides, as output data (O3000), a membership class C or a list L of membership classes C_k of the handwriting D from among the plurality of membership classes C_j.

Systems and methods are provided for reducing the reliance on operator skill during vascular ultrasound procedures. The placement of an ultrasound probe to assess perfusion associated with a wound may be facilitated by receiving input suitable for identifying an anatomical region associated with the wound and providing an indication of a suitable initial probe position, and optionally, probe orientation, for acoustically interrogating a target arterial vessel known to provide perfusion to the anatomical region associated with the wound. Regions exhibiting arterial flow may be detected as the probe is moved, enabling arterial vessel detection and localization. A subregion within the detected arterial vessel and a beam steering angle may be autonomously determined for spectral Doppler data collection, enabling the measurement of hemodynamic measures associated with the arterial vessel. Example apparatus for securing the probe to the patient and facilitating probe positioning to search for a target vessel are disclosed.

A method includes receiving an anatomical map of wall tissue of at least a portion of a cardiac cavity, the map including different anatomical regions. A plurality of ablation points generated by a multi-electrode catheter during an ablation instance may be received. An anatomical region is identified using a classification algorithm that takes into account catheter shape data, and all ablation points are classified as belonging to the identified anatomical region. Corresponding ablation tags may also be presented on the anatomical map according to the classified ablation points and catheter shape data.

An artificial intelligence-assisted ultrasound imaging parameter recommendation tool is disclosed. In one example, an ultrasound imaging system includes a processing circuit having a processor coupled to a memory device storing instructions thereon that, when executed, cause the processing circuit to perform operations including identifying contextual information regarding a patient; determining, based on the contextual information, a plurality of sets of imaging parameters; receiving initial image data of an anatomical region obtained using the plurality of sets of imaging parameters; presenting the plurality of initial images based on the initial image data; receiving a user input selecting a preferred image of the plurality of images, the preferred image having been obtained using a preferred set of imaging parameters; and configuring an ultrasound probe to receive additional image data of the anatomical region using the preferred set of imaging parameters.

The invention concerns a computer implemented method for enhancing the display of features of interest in a 3D image of an anatomical region of a patient, the method comprising:a) obtaining a 3D image of an anatomical region of a patient;b) projecting the 3D image according to a first point of view for obtaining a first 2D image;b1) projecting the 3D image according to a second point of view for obtaining a second 2D image of said anatomical region;the first point of view being transverse to the second point of view and the first 2D image being transverse to the second 2D image; the method comprisingc) determining from the first 2D image a first 3D region of interest;d) projecting said 3D region of interest according to the second point of view for obtaining a third 2D image.

An exemplary surgical bone frame assembly includes a frame, a frame fastener and a bone support assembly. The frame may be an external frame having a plurality of frame segments with adjustable connectors for operatively and pivotably connecting to each other. The frame fastener secures the frame to a patient. The bone support assembly is connectable to the frame for fastening the frame to a bone of a patient, and may include a bone support frame for rigidly connecting to the frame, and a bone fastener. The bone fastener extends from the bone support frame and securely attaches to the bone of the patient. The surgical bone frame assembly provides structural support and positioning control for anatomical regions during surgical procedures by creating rigid connections between multiple anatomical landmarks.

Techniques for processing one or more frames of an angiogram are disclosed. The processing may take place during or after an angiography exam. The one or more frames of the angiogram are acquired during the angiography exam. The one or more frames are processed to determine, based on at least one pre-defined criterion, whether the angiogram at least comprises one frame with a diagnostic value among the one or more frames. If the angiogram comprises at least one frame with the diagnostic value, based on the angiogram, a score quantifying the diagnostic value of the angiogram is determined using a trained machine-learning (ML) algorithm. Techniques for processing, e.g., ranking / sorting, multiple angiograms associated with an anatomical region of interest of a patient are also provided, by which a respective score for each of the multiple angiograms is determined using the techniques for processing one or more frames of an angiogram.

The present application proposes a system for differential recording in real-time navigation, connectable to an electrical lead having at least two electrodes, comprising: at least one electrical lead having a longitudinal axis and a distal end and at least two electrodes for recording electrical signals; a memory configured for storing a differential signal between the at least two electrodes and a reference indication of electrical signals associated with a neural tissue; a processing circuit, wherein the processing circuit: during advancement of the at least one electrical lead, computes in real-time a differential signal between electrical signals recorded from the at least two electrodes, processes the differential signal and the reference indication of electrical signals associated with the neural tissue; and computes an anatomical position of the electrical lead based on the processing, wherein the computing an anatomical position comprises estimating a proximity between at least one of the electrodes or the distal end of the electrical lead and a boundary between anatomical regions.

The current disclosure provides methods and systems to reduce an amount of noise in image data. In one example, a method for creating synthetic computed tomography (CT) images for training a model to reduce an amount of noise in acquired CT images is proposed, comprising performing a tissue segmentation of reference images of an anatomical region of a subject to determine a set of different tissue types of the reference images; and generating synthetic CT images of the reference images by assigning CT image values of the synthetic CT images based on the different tissue types.

Systems and techniques for endoscopically-assisted percutaneous medical procedures are described. Techniques can include inserting a first medical instrument having an elongated shaft and a first position sensor into a region of anatomy through a natural orifice. A first position of the first medical instrument within the region can be determined with the first position sensor. A target location can be defined within the region based on the determined first position. A second medical instrument can be percutaneously guided toward the target location. The techniques can be implemented with a robotically-enabled medical system.

A brain-computer interface (BCI) includes a multichannel stimulator and a decoder. The multichannel stimulator is operatively connected to deliver stimulation pulses to a functional electrical stimulation (FES) device to control delivery of FES to an anatomical region. The decoder is operatively connected to receive at least one neural signal from at least one electrode operatively connected with a motor cortex. The decoder controls the multichannel stimulator based on the received at least one neural signal. The decoder comprises a computer programmed to process the received at least one neural signal using a deep neural network. The decoder may include a long short-term memory (LSTM) layer outputting to a convolutional layer in turn outputting to at least one fully connected neural network layer. The decoder may be updated by unsupervised updating. The decoder may be extended to include additional functions by transfer learning.

A magnetic resonance imaging examination of an anatomic region of a subject is performed with a magnetic resonance imaging system. A fast metal detection sequence configured to detect the presence of a metal object within or at the subject is performed. A control unit determines whether a metal object is detected, wherein the control unit initiates a standard examination workflow if no metal object is detected during the fast metal detection sequence, and wherein the control unit initiates a modified examination workflow that is different from the standard examination workflow if a metal object is detected during the fast metal detection sequence.

The method, device and application of left atrial partitioning can realize the geographic calibration of electrophysiological analysis, achieve 100% repeatability, and easily perform independent in-depth analysis of each subregion of the left atrium, realizing the regional and refined depiction of the atrial fibrillation matrix. The method includes: (1) importing high-density mapping point cloud data exported from mainstream electrophysiological systems, including electrical parameters such as X, Y, Z coordinates, voltage, and activation time; (2) identifying key feature structures in the point cloud data, including the boundaries of the left pulmonary vein ablation circle, the right pulmonary vein ablation circle, the mitral valve annulus region, and the left atrial appendage region, and using these as the basic anchor points for partitioning; (3) constructing three-dimensional spatial geometric rules to unambiguously assign each data point to one of the anatomical regions; (4) outputting a new point cloud dataset with clear regional labels and generating statistical reports for each partition, or visually displaying three-dimensional models of partitions with different color codes.

An artificial intelligence-assisted ultrasound imaging parameter recommendation tool is disclosed. In one example, an ultrasound imaging system (100) includes a processing circuit (114) having a processor (116) coupled to a memory device (118) storing instructions that, when executed, cause the processing circuit (114) to perform operations including: identifying contextual information about the patient (205), (810); determining multiple imaging parameters (210) based on the contextual information (205), (810); receiving initial image data of an anatomical region obtained using the multiple imaging parameters (210); presenting multiple initial images (805a), (805b), (805c) based on the initial image data; receiving user input to select a preferred image (805b) from the multiple images (805a), (805b), (805c), the preferred image (805b) having been obtained using a set of preferred imaging parameters (905); and configuring an ultrasound probe (106) to receive additional image data of the anatomical region using the set of preferred imaging parameters (905).

Described are systems, techniques, and processes for pathology detection in radiological images. A process can include obtaining a radiological image corresponding to an imaged anatomical area. Based on processing the radiological image using a semantic segmentation neural network, a target map can be generated corresponding to a plurality of candidate anatomical defect locations within the cropped radiological image. At least one volume of interest (VOI) can be generated centered around a particular candidate anatomical defect location within the cropped radiological image. A classification neural network can be used to classify the particular candidate anatomical defect location within the cropped radiological image, wherein classifying the particular candidate anatomical defect location includes determining a pathology associated with the particular candidate anatomical defect location.

Devices, systems, methods, and computer program products for performing medical procedures are disclosed herein. In some embodiments, a system for planning a medical procedure is configured to receive a three-dimensional (3D) model of an anatomic region of a patient. The 3D model can include a set of linked structures and at least one isolated structure spaced apart from the linked structure. The system can output a graphical representation of the linked structures and the at least one isolated structure, and can receive operator input indicating a set of locations on the graphical representation. The set of locations can represent a connection between the at least one isolated structure and the linked structures. Based on the operator input, the system can generate a bridge structure connecting the at least one isolated structure to the linked structures.

This invention relates to the fields of medical image processing, artificial intelligence, and tumor follow-up assessment, and particularly to a tumor image tracking method and system based on lesion identity fields and counterfactual spatiotemporal calibration. The method includes: acquiring medical image sequences and clinical context data from multiple time points for the same subject; obtaining spatiotemporally aligned image data through cross-time point standardization and anatomical region constraint registration; obtaining the identity embedding, spatial occupancy, and morphological representation of each candidate lesion using a lesion identity field generation network; constructing a longitudinal lesion memory map and updating the inter-period correspondence based on reversible deformation consistency constraints; and separating the apparent changes caused by scanning protocol changes, registration errors, treatment-related alterations, and actual tumor evolution through a counterfactual spatiotemporal calibration module to obtain calibrated tracking results. This method can maintain lesion identity consistency and reduce the probability of mismatches and false progression judgments.

This invention provides an intelligent image measurement and navigation method and system for transcatheter aortic valve replacement (TAVR), relating to the field of medical auxiliary diagnosis. Utilizing a dual-temporal collaborative repair strategy, it can use the texture information of clear temporal phases to complete the anatomical details of blurred temporal phases, obtaining complete anatomical boundaries even under imperfect cross-sections. This significantly reduces the time and frequency of physical probe adjustments during surgery, lowering the reliance on the operational skills of anesthesiologists or sonographers. Through cascaded positioning with anatomical region locking, and using a probability field strength prior forced algorithm to focus on high-probability anatomical structures, it shields background noise that is easily interfered with by the human eye, ensuring the objectivity and consistency of measurement results. This allows less experienced surgeons to achieve measurement accuracy consistent with senior experts, providing standardized data support for valve model selection. It can intelligently filter out motion interference, ensuring the safety of intraoperative navigation, and its sub-pixel accuracy meets the requirements of refined TAVR surgery.

The invention provides devices, systems and methods for tissue approximation and repair at treatment sites. The devices, systems and methods of the invention will find use in a variety of therapeutic procedures, including endovascular, minimally-invasive, and open surgical procedures, and can be used in various anatomical regions, including the abdomen, thorax, cardiovascular system, heart, intestinal tract, stomach, urinary tract, bladder, lung, and other organs, vessels, and tissues. The invention is particularly useful in those procedures requiring minimally-invasive or endovascular access to remote tissue locations, where the instruments utilized must negotiate long, narrow, and tortuous pathways to the treatment site. In addition, many of the devices and systems of the invention are adapted to be reversible and removable from the patient at any point without interference with or trauma to internal tissues.

A garment is disclosed that includes one or more selectively openable closure assemblies configured to provide controlled access to targeted anatomical regions of a wearer while maintaining overall garment coverage. The garment body, which may be a top, bottom, or unitary garment, incorporates at least one closure assembly extending between two regions of the garment. Each closure assembly comprises mateable closure elements, such as interlocking zipper teeth, and at least a first slider and a second slider independently positionable to couple or uncouple the mateable elements. Movement of the sliders creates selectively openable access areas that expose portions of the wearer's body, enabling medical procedures such as accessing implanted ports, vascular devices, infusion sites, or sensor modules. Independent slider positioning further defines a gap through which medical tubing, catheters, or cables may be routed without crimping. The garment enhances comfort, modesty, and functionality during medical treatment or monitoring.

The application relates to the technical field of impact biomechanics and human engineering, in particular to a biomechanics response mapping method and device, an electronic device and a medium. The mapping method comprises the following steps: acquiring first information, wherein the first information comprises source body type biomechanics response channel data, body type parameters of a source body type and body type parameters of a target body type; constructing a regionalized dynamics mapping relationship according to a dynamics dominant mechanism of an impact response; the mapping relationship is used for representing the relationship among the body type parameters of the source body type, the body type parameters of the target body type, the biomechanics response channels of each anatomical region of the source body type and the biomechanics response channels of each anatomical region of the target body type; and determining the biomechanics response channel data of each anatomical region of the target body type according to the regionalized dynamics mapping relationship and the first information. The application can realize the effect that each anatomical part simultaneously meets the physical consistency requirement and the scaling result has high reliability.

A method provides a source of secondary imaging of an anatomical region of interest for use during a medical procedure. The method is based on acquiring in advance a set of reference images in a secondary imaging modality of the anatomical region over the course of movement of an object or body within the region. Different movement positions of the object within the reference images are indexed via measurement of displacement of a pre-defined reference point fixed relative to the anatomy of interest. This is measured using an ultrasound imaging probe which images the anatomical region simultaneously with the secondary imaging modality. The detected reference point position for each reference image is recorded along with each image frame. During the intervention, an ultrasound image probe is again used, preferably set up in the same position relative to the anatomy, and captures images of the same anatomy during the procedure. The reference images can be recalled in real time based on measuring the reference point displacement using the ultrasound images and querying the dataset for the relevant associated image. This can be displayed alongside, or in place of, each ultrasound image frame.

A method includes receiving an anatomical map of wall tissue of at least a portion of a cardiac chamber, the map comprising different anatomical regions. A plurality of ablation points generated by a multi-electrode catheter during an ablation instance can be received. Using a classification algorithm that considers catheter shape data, an anatomical region is identified and all of the ablation points can be classified as belonging to the identified anatomical region. Respective ablation tags can also be presented on the anatomical map according to the classified ablation points and catheter shape data.

A diastole-based hemodynamic index, such as instantaneous wave-free ratio (IWFR), may be calculated noninvasively for a patient by receiving image data respective of an anatomical region of the patient, creating an electronic model of the anatomical region, creating one or more boundary conditions model value sets representative of flow conditions during diastole, calculating one or more pressure drops at a location in the anatomical region, and determining, based on the calculated pressure drop(s) and based on a reference pressure, a hemodynamic index value, such as IWFR, for the location.

Devices, systems, methods, and computer program products for performing medical procedures are disclosed herein. In some embodiments, a system for performing a medical procedure includes a medical instrument configured to be inserted within an anatomic region and including an image capture device. The system can receive a three-dimensional (3D) model of the anatomic region, the 3D model including a model landmark corresponding to an anatomic landmark in the anatomic region. The system can obtain, via the image capture device, a plurality of images of the anatomic landmark, at least some of the images representing different views of the anatomic landmark. Based on the images, the system can determine a set of transformation parameters for aligning the anatomic landmark with the model landmark. The system can use the set of transformation parameters as a seed for registering the 3D model to the anatomic region.

Perform 2D / 3D alignment with high precision. [Solution] The medical image processing apparatus according to the embodiment includes a processing circuit. The processing circuit generates a first map representing the estimated location of a medical device within an anatomical region based on a 2D (two-dimensional) image acquired by a medical imaging device, which represents the medical device within an anatomical region of a patient or other subject. The processing circuit generates a second map representing the expected location of the medical device within an anatomical region based on volumetric imaging data representing the anatomical region and a plurality of alignment parameters that define the pose of the medical imaging device. The processing circuit compares the first map and the second map with each other. The processing circuit updates the plurality of alignment parameters based on the comparison between the first map and the second map.

The present invention relates to a system and method for use in ultrasound imaging for the selective optimization of imaging parameters with respect to an anatomical region of interest. The system and method of the present invention provides selective adjustment of imaging parameters to achieve higher resolution and / or deeper penetration into tissue, thereby improving image quality and / or field of view in the selected region of interest. The system for providing selective image focusing comprises a console configured to be operably associated with and exchange data with an ultrasound imaging device.