72 results about "Anatomical location" patented technology

Optical-fiber stylet holders and methods for holding optical-fiber stylets in position in catheters or the like prevent breakage of optical fibers in the optical-fiber stylets and maintain functionality of the optical-fiber stylets. The holding of optical-fiber stylets in position in catheters or the like can be important for maintaining distal tips of intravascularly delivered optical-fiber stylets in their target anatomical locations during procedures.

The invention discloses an intelligent planning method for a personalized scanning path of an ultrasonic robot, and relates to the field of ultrasonic robos.The intelligent planning method comprises the steps that anatomical structure information and clinical scanning demand information of a to-be-scanned part of a target patient are collected, a patient exclusive basic information set is established, and the anatomical structure information comprises spatial distribution characteristics of all tissues of the part; clinical demand information comprises a preset focus region and a scanning precision index, an exclusive basic information set is established by collecting an anatomical structure of a to-be-scanned part of a patient and the clinical scanning demand information, spatial correlation characteristics are analyzed, and a real-time physiological and anatomical position dynamic correlation rule is embedded to construct a dynamic anatomical correlation model; and individual anatomical dynamic changes of the patient can be accurately matched.

The invention discloses a health monitoring management system based on a multi-modal index, and belongs to the technical field of health monitoring, and the system specifically comprises a data collection unit which synchronously collects physiological signals at the same anatomical position of a user through a professional medical device and a wearable device; the calibration model construction unit is used for extracting reference waveform characteristics of professional medical equipment, analyzing a signal offset mode of the wearable equipment, fitting a dynamic correction curve and generating a calibration comparison table; the dynamic correction unit is used for inputting the real-time data of the wearable equipment into a calibration comparison table for correction, generating a reconstructed data stream aligned with the time domain of the reference signal, and ensuring the synchronization of waveform key points; the calibration verification unit is used for calling high-precision data to verify the calibration result in a preset period, and updating the calibration rule base when the matching error of a plurality of continuous calibration windows is lower than a threshold value; according to the method, the wearable device is periodically calibrated through the high-precision professional medical device, and the daily health monitoring precision of the user is improved.

According to an embodiment of the present disclosure, an image analysis method is disclosed. The image analysis method may include: receiving a body medical image; detecting one or more lesions from the received body medical image using a lesion detection model; generating anatomical location information for the one or more lesions using an anatomical analysis model, based on the received body medical image and the detection result for the one or more lesions; and generating a diagnosis result for the received body medical image, based on the anatomical location information for the one or more lesions.

Disclosed herein is a radiotherapy apparatus comprising a radiation source coupled to a rotatable gantry, a movable subject support surface and a controller. The controller is configured to obtain a first and a second anatomical location of the patient, determine a vector using the first and second anatomical location, apply radiation from the radiation source to the first and second anatomical location and move the subject support surface to the gantry based on the angular deviation.

A method for assessing a risk associated with a skin abnormality is disclosed. The method involves using a skin abnormality detection model to analyze a current image dataset captured by a skin inspection device to identify a current instance of a feature of interest and determine an associated risk level. The model is trained using a process that generates enriched training data. The process comprises receiving user-generated annotations for a feature of interest across a series of historical image datasets captured over time. These historical datasets are aligned using an image registration process to establish a consistent anatomical location for the feature. A set of training data records is then generated, with each record comprising an annotation, a set of image acquisition parameters used for the corresponding image, and data defining the consistent anatomical location. The skin abnormality detection model is subsequently trained using this set of training data records.

A tremor suppression device includes a garment wearable on an anatomical region and including electrodes contacting the anatomical region when the garment is worn on the anatomical region, and an electronic controller configured to: detect electromyography (EMG) signals as a function of anatomical location and time using the electrodes; identify tremors as a function of anatomical location and time based on the EMG signals; and apply neuromuscular electrical stimulation (NMES) at one or more anatomical locations as a function of time using the electrodes to suppress the identified tremors.

The invention belongs to the technical field of biological medicine, and particularly relates to application of actinomycin D in preparation of a ctDNA detection sensitizer. The invention provides a ctDNA release method based on actinomycin D as an enhancer, which can significantly improve the release level of ctDNA in early small-volume tumors and tiny residual lesions, thereby improving the sensitivity and positive detection rate of liquid biopsy in MRD detection. Under an extremely low dosage, the ActD can generally promote a plurality of human tumor cells to release ctDNA under the condition of not causing obvious cell death, and has good biological safety and adaptability. The method is especially suitable for tiny, biological inert or anatomical position hidden focuses which are difficult to identify by iconography, namely blind area patient groups in disease monitoring, and has a wide clinical application prospect.

This document discusses a neurostimulation device. The neurostimulation device includes a stimulation circuit; a sensing circuit to sense evoked synaptic activity potential (ESAP) signals when coupled to the implantable lead, and a control circuit. The control circuit is configured to initiate delivery of neurostimulation energy by the stimulation circuit, initiate sensing by the sensing circuit of ESAP signals produced by the delivery of neurostimulation energy, change at least one parameter of the neurostimulation energy and continue the sensing of the ESAP signals, compare the sensed ESAP signals to a stored best sensed ESAP signal, wherein the best sensed ESAP signal was previously sensed at a recorded anatomical location using a different trial lead, and determine neurostimulation therapy parameters including a neurostimulation location to produce a best match ESAP signal at the recorded anatomical location that is a closest match to the stored best sensed ESAP signals.

A decompression surgery system includes an instrument shuttle configured to engage a first side of a target anatomical location, the instrument shuttle including a track. The system further includes a working channel configured to couple to and advance along the track of the instrument shuttle, the working channel having a distal end configured to engage a second side of the target anatomical location so that the target anatomical location is positioned between a portion of the instrument shuttle and the distal end of the working channel. The working channel is configured to receive one or more instruments therethrough.

This invention discloses a personalized intelligent planning method for ultrasound robot scanning paths, relating to the field of ultrasound robots. The method includes: collecting anatomical structure information and clinical scanning needs information of the target patient's area to be scanned; establishing a patient-specific basic information set; wherein the anatomical structure information includes the spatial distribution characteristics of various tissues in the area; and the clinical needs information includes preset key areas of focus and scanning accuracy indicators. This invention establishes a patient-specific basic information set by collecting anatomical structure information and clinical scanning needs information of the patient's area to be scanned, analyzes spatial correlation features, and embeds real-time physiological and anatomical position dynamic correlation rules to construct a dynamic anatomical correlation model, which can accurately match the individual anatomical dynamic changes of the patient.

The application discloses a kind of operating room consumable use analysis method and system, it is related to medical instrument management technical field, method includes: obtaining operation video and force data in surgical instrument operation process;According to the force data, generate operation reference;According to the force data and the operation reference, identify key mechanical event and target timestamp;According to the target timestamp, extract the video frame corresponding to the key mechanical event from the operation video;Determine the two-dimensional position of surgical instrument tip on the video frame;According to the two-dimensional position of surgical instrument tip, generate target anatomical position in three-dimensional medical image model;According to the target timestamp, the force data and the target anatomical position, generate event evidence chain.The application realizes consumable use analysis, and improves accuracy.

Systems and methods for controlled sympathectomy procedures for neuromodulation are disclosed. A system for controlled micro ablation procedures is disclosed. A guidewire including one or more sensors or electrodes for accessing and recording physiologic information from one or more anatomical sites within the parenchyma of an organ as part of a physiologic monitoring session, a diagnostic test, or a neuromodulation procedure is disclosed. A guidewire including one or more sensors and / or a means for energy delivery, for performing a neuromodulation procedure within a small vessel within a body is disclosed.

This application provides a method for manufacturing a multi-zone integrated silicone orthodontic appliance, comprising: acquiring three-dimensional data of a user's jaw and constructing a three-dimensional digital model of the appliance based on the three-dimensional data of the user's jaw; obtaining anatomical location data of teeth and orthodontic biomechanical design data, and dividing the target appliance into functional zones with at least two different hardnesses based on the three-dimensional digital model of the appliance, and assigning a zone hardness value to each functional zone; performing mechanical simulation on the three-dimensional digital model of the appliance, analyzing the stress distribution information of each functional zone acting on the teeth and periodontal tissues under the zone hardness value configuration of the virtual appliance constructed by the three-dimensional digital model of the appliance, so as to optimize the three-dimensional digital model of the appliance based on the stress distribution information feedback; converting the manufacturing data output by the optimized stage three-dimensional digital model of the appliance into manufacturing instructions, and driving a printing device to manufacture the corresponding appliance mold or print the corresponding appliance according to the manufacturing instructions.

This invention discloses an injection method for CaHA microsphere products that enhance facial three-dimensionality through multi-layering, relating to the field of cosmetic technology. The method includes: precise injection techniques and area division based on specific needs; and a combination of needle angle, injection depth, layer, and dosage for specific anatomical locations. Specifically designed for Asian facial structures, it provides a strong, naturally integrated solution. By using CaHA microsphere injection products, the following effects can be achieved: Facial volume replenishment: effectively replenishing facial soft tissue atrophy and fat loss caused by aging, skin aging, or genetic factors, restoring facial fullness. It is commonly used to fill sunken areas of the face, such as tear troughs, nasolabial folds, sunken temples, and sunken cheeks.

A wearable device for providing sensory feedback in an extended reality environment is disclosed. The device includes a band configured to enclose an anatomical location, such as a wrist, adjacent to a distal extremity, such as a hand. The band houses a plurality of electrodes that deliver transcutaneous electrical nerve stimulation (TENS) to the distal extremity, eliciting distally referred sensations corresponding to the user's interaction with a digital object. A controller receives sensor signals indicative of movement of the distal extremity, determines the user's motor intent, and generates a sensory feedback signal to control the delivery of TENS pulses. The device allows for anatomically congruent sensory feedback in augmented reality environments without inhibiting natural interactions with physical objects.

This invention relates to the field of medical control technology, specifically to a glioma ECoG electrode localization system based on the fusion of multimodal MRI and intraoperative photographs. It includes a brain imaging data acquisition module for preoperative acquisition of multimodal brain imaging data and an acquisition module for acquiring intraoperative craniotomy photographs for ECoG electrode placement. The system further aligns the multimodal brain imaging data to the same three-dimensional spatial coordinate system; then segments and corrects the multimodal brain imaging data into different regions; and establishes an individualized brain region atlas based on a healthy brain tissue texture model and segmented brain regions. Vascular structures are extracted, and a three-dimensional spatial coordinate system for vascular feature points and electrode contacts is established and transformed. The minimum Euclidean distance is calculated based on the electrode contacts, and the individualized brain region atlas is labeled. This invention addresses the problems of insufficient spatial positioning accuracy of electrode contacts and difficulty in quantifying tumor-electrode distance during surgery for glioma patients, facilitating intraoperative determination of the anatomical location of the epileptogenic focus by surgeons.

An example method includes: obtaining input data representing a context of a computing device; determining, from the input data, an accessory context of the computing device; determining a relative anatomical location of the computing device; selecting a power level based on the accessory context and the relative anatomical location of the computing device; and instructing a radio transmitter to operate according to the selected power level.

According to an aspect of the present inventive concept there is provided an ingestible device for analysis of the gastrointestinal tract, the ingestible device comprising: at least one sensor configured for sensing a biochemical parameter, wherein the at least one sensor is configured to generate biochemical parameter data for identifying an anatomical localization of the ingestible device in the gastrointestinal tract, and a magnetic field sensor configured to receive an alternating magnetic field for generating spatial location data representing a spatial localization of the ingestible device, and wherein the ingestible device is configured to provide a combined localization of the ingestible device in the gastrointestinal tract based on the anatomical localization and the spatial localization.

The application discloses an anorectal manometry anatomical position positioning method and device, equipment and medium, and relates to the technical field of medical instruments, and comprises the following steps: determining the pressure average value of each channel in an anorectal pressure cloud chart within a preset time period; finding a first peak channel and a second peak channel with the maximum pressure average value in each channel within a rectal range and an anal range respectively to determine a rectal peak position and an anal peak position; interpolating the pressure values of the channels to obtain each interpolated pressure value; determining a rectal characteristic value within the rectal range and an anal characteristic value within the anal range based on the interpolated pressure values and the pressure average values; the characteristic values comprise the interpolated pressure average value, a peak value ratio, a minimum pressure ratio and a pressure difference; and determining a rectal edge channel and an anal edge channel from the anorectal pressure cloud chart according to the rectal characteristic value and the anal characteristic value to determine a rectal edge position and an anal edge position. The application realizes accurate positioning of an anorectal manometry anatomical position.

The invention discloses a method for generating an endoscopic image-text report of a tumor under a digestive tract mucous membrane. The method comprises the following steps: receiving real-time inspection videos of a white light endoscope and an ultrasonic endoscope; carrying out image preprocessing, and screening qualified white light endoscopic images and ultrasonic endoscopic images; identifying an endoscopic image containing a lesion, and carrying out redundancy deletion on the image; lesion segmentation and classification are carried out to obtain pathological properties and lesion features of lesions; identifying an anatomical position through a white light endoscopic image, and determining a lesion anatomical position; performing quality evaluation on the white light endoscopic image and the ultrasonic endoscopic image after redundancy deletion, and selecting a typical image of a lesion; and outputting pathological properties, lesion features, anatomical positions, the typical white light endoscopic image and the ultrasonic endoscopic image of the same lesion to generate a standardized image-text report. According to the method, the standardized image-text report can be automatically generated in the endoscopic examination process of the tumor under the digestive tract mucosa, the report accuracy and consistency are improved, and the writing workload of an endoscopic physician is reduced.

The invention discloses a human chest lesion wireless positioning device and method, and the device comprises three positioning base stations which are disposed on three reference points; coordinates of the three reference points in a three-dimensional positioning system constructed by taking a focus positioned on the CT image as an original point are A (Xa, Ya and Za), B (Xb, Yb and Zb) and C (Xc, Yc and Zc) respectively; the probe is configured to be capable of sending a wireless signal, and the wireless signal can be received by each positioning base station; and the calculation module is electrically connected with the three positioning base stations and the probe, determines the real-time coordinates of the current position of the probe according to the time when the probe transmits the wireless signal and the time when each positioning base station receives the wireless signal, and determines the current position as the position of the focus when the real-time coordinates are preset coordinates. According to the method, the focus position in the CT image is associated with the actual anatomical position of the human body through the mathematical model, so that the positioning precision is remarkably improved.

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.

This invention discloses a cross-modal cell alignment method for pathological images in non-registerable scenarios. The method acquires H&E and mIF stained images and their data-augmented views corresponding to spatial anatomical locations; constructs H&E modality processing branches, mIF modality processing branches, and a reverse self-attention module; and sequentially performs three-stage progressive training: intra-modal contrastive pre-training based on the data-augmented view; using mIF modality-level semantic aggregation tokens from the same spatial anatomical location as positive samples and mIF modality-level semantic aggregation tokens from different spatial anatomical locations as negative samples, achieving H&E to mIF modality-level semantic alignment through contrastive learning; inputting the aligned H&E modality-level semantic aggregation tokens and the projected H&E cell feature embedding set into the reverse self-attention module, and achieving unsupervised cell-level semantic alignment by minimizing the Hungarian matching loss; finally, the output H&E cell features semantically aligned with mIF are embedded into a refined set, which can be directly used for downstream pathological analysis tasks such as high-precision cell clustering.

A method may be provided to operate a surgical robotic system including a robotic arm configured to position a surgical end-effector with respect to an anatomical location of a patient. Position information may be received where the position information is generated using a sensor system remote from the robotic arm and remote from the patient. The position information may include position information relating to a tracking device affixed to the patient and position information relating to the surgical end-effector. The robotic arm may be controlled to move the surgical end-effector to a target trajectory relative to the anatomical location of the patient based on the position information generated using the sensor system.

Disclosed is an artificial intelligence (AI)-based gastroscopic image analysis method including a step of configuring training data and training the plurality of image classification models, a step of observing or photographing respective parts of a stomach from the oral cavity and the laryngopharynx to the second part of the duodenum using a gastroscopic probe, a step of automatically classifying and recognizing the anatomical location of the stomach with respect to an image captured during photographing using the plurality of image classification models, automatically storing or reporting the location of a lesion, and a step of segmenting an image of a specific part in the captured gastroscopic image for each region by a region segmentation model and outputting the same number of segmented maps as the number of target classes as the result of segmentation.

This document discloses a medical system (100, 300, 400). Execution of machine-executable instructions (120) causes a computing system (110) to repeatedly perform the following operations: receive (204) segmentation editing data (130) from a segmentation entry tool (128); collect (206) location-specific segmentation tool usage metadata (134) describing the use of the segmentation entry tool to enter segmentation editing data at the editing location; determine (208) an anatomical location by using the editing location; retrieve (210) expected segmentation tool usage metadata from a segmentation tool usage database (122) by using the anatomical location; determine (212) the presence of anomalous segmentation editing data (806) by comparing the location-specific segmentation tool usage metadata with the expected segmentation tool usage metadata; provide (214) signals (142, 404, 808) if anomalous segmentation editing data is determined to exist; and construct (216) a segmentation result of a medical image (144) by using the segmentation editing data.

A method and a system include obtaining calibration scan data or low resolution images of a subject acquired with a magnetic resonance (MR) scanner of an MR imaging system. The method and the system also include inputting the calibration data or the low resolution images into a trained deep learning-based multi-mask segmentation network. The method and the system further include outputting labeled mask images for different anatomical stations, wherein a respective mask of a respective labeled mask image highlights an anatomical landmark of interest in each respective anatomical station of the different anatomical stations. The method and the system even further include determining an extent of a respective anatomical landmark of interest in each respective anatomical station of the different anatomical stations for a respective localizer scan for each respective anatomical station based at least on a respective label mask image for each respective anatomical station.

The invention discloses an auxiliary scribing system for breast contraction surgery. An image acquisition module is used for acquiring medical image data of a to-be-detected target. The model construction module is used for carrying out preprocessing and image segmentation on the acquired medical image data and converting the medical image data into a three-dimensional model. The key point searching module is used for searching key points and corresponding two-dimensional coordinates of the medical image data and converting the key points into three-dimensional coordinates in a corresponding three-dimensional model. The auxiliary lineation module is used for obtaining three-dimensional coordinates of the key points in the three-dimensional model and planning a three-dimensional lineation path. The key point searching module identifies key anatomical positions in the image data and converts the key anatomical positions into three-dimensional coordinates, the auxiliary scribing module plans an operation scribing path according to information of the three-dimensional coordinates, and scribing accuracy and efficiency are improved. The database module and the data training module can learn and compare pre-operation and post-operation data, and continuously optimize operation scribing planning and execution.

Techniques are described for augmenting chest X-ray (CXR) images with synthetic lesions using a lesion-aware machine learning framework in association with optimizing thoracic disease detection models. In an example, a system can comprise a lesion augmentation component that generates synthetic lesion images comprising synthetic lesion image data objects integrated on or within medical images using lesion generator, trained to generate the synthetic lesion image data objects, and tailor the synthetic lesion image data objects to account for different types of lesions and different anatomical locations of the lesions. The system can further comprise a training component that trains a lesion detector using the synthetic lesion images. The training component can further perform an alternate training strategy to integrate the training of the lesion generator and the detector for mutual boosting.