24559 results about "Medical physics" patented technology

A method of self-testing an imaging system of a sample handling apparatus is provided. Systems and non-transitory computer readable mediums performing the method are also provided.

Various wearable health monitoring devices are described herein. Some implementations include one or more emitter chamber covers injection molded out of a first material comprising transparent glass, one or more detector chamber covers injection molded out of a second material comprising transparent glass, and a light barrier construct injection molded out of a third material over the one or more emitter chamber covers and the one or more detector chamber covers. The third material may be opaque and can comprise glass and an optically absorbing pigment. Some implementations include a circuit board, emitter(s) mounted to the circuit board and arranged within the emitter chamber cover(s), and detector(s) mounted to the circuit board and arranged within the detector chamber cover(s). The circuit board, emitter(s), detector(s), emitter chamber cover(s), and detector chamber cover(s) can form part of a sensor assembly connected to a housing of the wearable health monitoring devices.

Various wearable health monitoring devices are described herein. Some implementations include a housing including a front side and a back side configured to face tissue of the wearer when the device is worn; and a sensor assembly positioned by the back side of the housing. The sensor assembly can include emitters and detectors positioned on a surface of a substrate and a frame positioned adjacent to the surface of the substrate and configured to inhibit transmission of optical radiation through the frame. The frame can comprise an emitter chamber housing the emitters; and one or more detector chambers housing the one or more detectors.

The invention discloses a children MPP (Mycoplasma Pneumoniae) auxiliary diagnosis system based on multi-modal time series data modeling, and aims to improve the auxiliary diagnosis, clinical typing and severe prediction capabilities of mycoplasma pneumonia and reduce the workload of doctors. The MPP dynamic representation method based on multi-modal time sequence modeling is innovatively provided, multi-modal data such as images, electronic medical records and inspection indexes are fused, the time sequence feature embedding technology is adopted, and the evolution trend of the disease course can be effectively captured. Furthermore, deep fusion of different modal data is realized by using a progressive cross-modal semantic alignment strategy and a modal attention gating mechanism, and the problem of insufficient diagnosis accuracy caused by incompatibility of data modals in a traditional method is solved.

A method of self-testing an imaging system of a sample handling apparatus is provided. Systems and non-transitory computer readable mediums performing the method are also provided.

Surgical systems and related computer-implemented methods are provided, including during performance of a surgical procedure on a patient, receiving, at a first surgical system, a first dataflow from a second surgical system, the first dataflow including first data regarding a measured patient parameter that the first surgical system is configured to use in performing a function during the performance of the surgical procedure. The computer-implemented methods including determining that a trigger event occurred during the performance of the surgical procedure such that a sum of a first bandwidth of the first dataflow and a second bandwidth of a second dataflow exceeds an available bandwidth, and in response to determining that the trigger event occurred, and during the performance of the surgical procedure, adjusting at least one of the first and second dataflows such that the sum of the first and second bandwidths does not exceed the available bandwidth.

The invention discloses an operating room intelligent monitoring method and system based on monitoring video recognition, and relates to the technical field of medical safety supervision, and the method comprises the steps: collecting a video through an operating room camera array, and constructing an operation region panoramic sequence through a residual neural network and an optical flow field; a double-branch target detection network is adopted to extract the position of a medical worker, the body position of a patient and the characteristics of surgical instruments, and a surgical scene model is constructed; performing trajectory tracking based on skeleton key point extraction and Kalman filtering, and constructing a dynamic graph of the operation process; generating an operation process state report by using the time sequence diagram convolutional network and a multi-head attention mechanism; and comparing the operation specification library through a knowledge distillation algorithm, and carrying out grading recording on abnormal events. According to the invention, efficient abnormal event tracking and recording functions are realized, technical support is provided for operation quality control and safety management, and the overall performance of operating room intelligent monitoring is improved.

The invention discloses a surgical robot resection navigation method based on multi-modal image registration. The method comprises the following steps: acquiring a preoperative multi-modal medical image of a patient and reconstructing a three-dimensional model containing a focus and a dangerous structure; acquiring an intraoperative real-time image; extracting cross-modal invariant features from the pre-operative and intra-operative images by using a first deep learning network, and establishing an initial corresponding relation; predicting an initial non-rigid deformation field by using a second deep learning network, based on the pre-operative / intra-operative image and the initial corresponding relation and in combination with physical model constraints; tracking a surgical tool in real time, and updating a non-rigid deformation field in real time by adopting an incremental calculation strategy; applying the updated deformation field to the preoperative three-dimensional model to generate a deformed model; and mapping the tool position to the deformed model, and generating a navigation instruction. According to the method, soft tissue deformation can be accurately compensated, multi-modal image information is effectively fused, navigation information is dynamically updated in real time, and the precision and safety of robot surgery are remarkably improved.

The teachings generally provide for a hand-held medical robotic system for use with a surgical tool, the system comprising an instrument comprising a hand-held portion, a tool support coupled to the hand-held portion, and an actuator assembly operatively interconnecting to move the tool support in a plurality of degrees of freedom to place the surgical tool and a localizer. The system additionally comprises a control system configured to determine a state of the surgical tool and determine a position and / or orientation of a reference coordinate system relative to a known coordinate system, activate a guided mode based on a first relationship criteria between the state of the surgical tool and the reference coordinate system, and deactivate the guided mode based on a second relationship criteria between the state of the surgical tool and the reference coordinate system, wherein the first relationship criteria and the second relationship criteria are different.

Improved novel 3D imaging and reconstruction methods for quantitative and accurate 3D imaging used in multiple industries, segments, and applications within each. Improvement includes methods and hardware configured to improve performance and lower radiation and improve accessibility. Using simplified system matrix and datasets of little scatter interference in tomographic image acquisition and reconstruction, in some cases, using time continuity and spatial continuity to generate parameter data for substances within VOI for a number of key applications in medical and non-medical fields.

A placement system for tracking, placing, and monitoring a catheter assembly or other medical device inserted into a body of a patient is disclosed. The placement system utilizes optical fiber-based strain sensors to assist with catheter placement. In one embodiment, the placement system comprises a console including a processor and a plurality of optical fiber-based strain sensors included with the catheter. A light source is also included and configured to operably connect with the strain sensors and produce outgoing optical signals incident on the strain sensors. A photodetector is included and configured to operably connect with the strain sensors and receive return optical signals from the strain sensors. A processor is configured to process data from the return optical signals. The data relates to an aspect of the catheter. A user interface such as a display is configured to communicate information relating to the aspect of the catheter.

A method, system, and apparatus for a head guide support system for use in measuring a transcranial magnetic stimulation (TMS) treatment coil on a patient's head are described herein. The coil positioning apparatus, also called a coil positioning device or a coil angle guide, may include a support structure supported by the patient's head; a first instrument configured to indicate a position angle for placement of the TMS coil; a second instrument configured to indicate a distance from the support structure for placement of the TMS coil; and / or a third instrument configured to indicate an orientation angle for rotation of the TMS coil.

The invention relates to the technical field of prostate MRI (Magnetic Resonance Imaging) image segmentation, in particular to a prostate MRI image segmentation method based on Mamb-Unet, which realizes effective fusion of features of different scales between an encoder and a decoder, and fuses multi-scale information on a space axis by using a space attention bridge segment to fuse fusion features of different levels from the encoder, so that the segmentation accuracy of the prostate MRI image is improved. And then global and local information is captured through 1D convolution and full connection in the channel attention bridge segment, so that a channel attention map is generated, channel information is better integrated, and multi-level different-scale feature fusion is realized.

A wearable system can include an electronic device configured to measure one or more physiological parameters of a patient and a wearable device configured to operably position the electronic device. The electronic device can have at least one light emitter and at least one light detector and be configured to measure at least a pulse oximetry measurement. The wearable device can have a main body with a cavity configured to position the electronic device, a securement portion connected to the main body and configured to secure the main body to the patient, and storage component configured to store patient identification data associated with the patient. When the electronic device and the wearable device are secured to one another, the patient identification data can be transferred from the wearable device to the electronic device.

Ablation systems and methods of the present disclosure include a catheter including one or more image sensors. The one or more image sensors can facilitate, for example, positioning an ablation electrode at a treatment site of an anatomic structure and, additionally or alternatively, can facilitate controlling delivery of therapeutic energy to a treatment site of an anatomic structure.

The invention provides a multi-angle photographing and three-dimensional reconstruction method and system for soft tissue, and relates to the technical field of soft tissue three-dimensional reconstruction, and the method comprises the steps: analyzing soft tissue features based on deep learning, generating a bulb tube motion track and sampling interval data, and controlling a mechanical arm to drive a bulb tube to collect projection images at multiple angles; screening an optimal image sequence by using an image quality evaluation network, and performing preprocessing such as material decomposition, feature extraction, space registration and image optimization; and inputting the optimized image and the material features into a reconstruction model, performing iterative calculation in combination with an anatomical structure template to generate density distribution data, performing curved surface reconstruction and intelligent tissue segmentation based on graph convolution based on the density distribution data, and finally generating a three-dimensional model containing tissue layering information.

The invention discloses a radiology report generation method based on semantic alignment, and belongs to the technical field of radiology report generation. The radiology report generation network constructed by the invention comprises a multi-scale feature extraction module, a cross-modal semantic alignment module and a Transform report generation module which are connected in sequence; the multi-scale feature extraction module comprises a convolutional neural network and a multi-scale local sparse attention module which are connected in sequence; the cross-modal semantic alignment module comprises an embedded layer, a multi-head attention module and a gating fusion module, wherein the multi-head attention module and the gating fusion module are connected with the embedded layer. The input end of the multi-head attention module and the input end of the gating fusion module are connected with the output end of the multi-scale local sparse attention module. The predicted radiology report generated by the radiology report generation method is good in quality.

The invention relates to the technical field of medical instruments, and discloses a laparoscope and digestive endoscope combined positioning measurement system and method.The method comprises the steps of positioning mark initialization, image feature analysis, instrument path planning, dynamic positioning calibration, operation integrity evaluation and the like. Spatial matching is realized by setting multiple types of positioning marks and utilizing optical reflection signals, noise reduction and feature extraction are performed on endoscope imaging data to generate a measurement area boundary, an operation path is planned in combination with anatomical path information, the tail end position of an instrument is calibrated in real time, and operation integrity is evaluated. The system comprises a positioning module, an analysis module, a correction module and an integration module which are respectively used for realizing the functions of positioning mark setting, image processing and path generation, offset correction and operation evaluation. According to the system, the operation positioning precision and the operation safety are improved, intellectualization and precision of minimally invasive surgery are achieved, and the system is suitable for minimally invasive treatment of digestive system diseases.

A system, apparatus and method directed to placing a medical instrument in a patient body, where the system includes the medical instrument having a first optical fiber, a console and an interconnect having a second optical fiber to receive incident light from the console and propagate the incident light to the medical instrument. The interconnect includes a predetermined bend along its length, such that logic of the console may determine a positioning and an orientation of the medical instrument relative to the predetermined bend. Additionally, the logic may generate a display of the medical instrument based on the reflected light signals and the determination of the positioning and the orientation of the medical instrument relative to the predetermined bend, where the display may be rendered as an overlay on an ultrasound image.

Disclosed herein is a system, apparatus and method directed to placing a medical instrument in a vasculature of a patient body, where the medical instrument includes an optical fiber having one or more core fibers. The system also includes a console having non-transitory computer-readable medium storing logic that, when executed, causes operations of providing an incident light signal to the optical fiber, receiving a reflected light signal of the incident light, processing the reflected light signals associated with the optical fiber and determining a location of a distal tip of the medical instrument within the patient body. The medical instrument may be steerable in one of various methods including having a predetermined curvature, a distal tip that is magnetic, magnetized, metallic or ferrous and is steerable by an external magnetic device or a having a variable stiffness at a distal tip.

The invention relates to the field of image segmentation, in particular to a multi-modal nuclear medicine image segmentation method and system and a storage medium. Comprising the steps that image type classification is carried out on multi-modal medical examination images, focus area positioning is carried out, and CT (computed tomography) focus images and PET (positron emission tomography) focus images are obtained respectively; carrying out lesion geometric mutation form prediction on the CT fault lesion image, and carrying out multi-modal image fusion boundary correction on the CT fault lesion image and the PET lesion image to obtain multi-modal lesion image fusion boundary correction data; according to the multi-modal lesion image fusion boundary correction data, performing multi-modal lesion region segmentation combination optimization on the CT image and the PET image to obtain a lesion region segmentation combination optimization strategy; and carrying out image segmentation model construction on the lesion region segmentation combination optimization strategy based on a strategy gradient algorithm to obtain a lesion image segmentation model. According to the method, the image segmentation technology is optimized, so that the image segmentation technology is more perfect.

A co-registration system includes a processor circuit that corrects the location of an indicator identifying a radiopaque portion of an intravascular catheter shown in an x-ray image and corrects the shape of a pathway defined by the movement of the radiopaque portion. The processor circuit receives, from the x-ray imaging device, x-ray images of a blood vessel while the intravascular catheter / guidewire moves through the blood vessel. The processor circuit receives, from the catheter, intravascular data representative of the blood vessel while the catheter moves through the blood vessel. The processor circuit co-registers the intravascular data to an x-ray image received from the x-ray imaging device. The processor circuit also displays the location indicator identifying the location of the radiopaque portion of the catheter in each x-ray image. In response to a user input, the processor circuit moves the location indicator to a corrected location. The processor circuit also modifies the shape of the pathway of the catheter in response to a user input. The processor circuit then completes the co-registration process again after either of these changes are made.

An automated damage severity assessment system and method is disclosed. The present system scans and assesses roof damage, and generates a damage severity report without the oversight of a roof inspector. The system comprises a central database of reference images and data that is constantly reviewed and updated to ensure accuracy of the reports, and aims to reduce the errors and waste inherent in the current methods.

Disclosed in the present invention are a helium-neon laser therapy method and application based on adaptive beam focusing. The technical method belongs to the technical field of medical lasers, and realizes adaptive beam focusing optimization for helium-neon laser therapy. The process comprises: patient assessment, which involves acquiring an image and data of a treatment region; image processing and analysis, which involves performing feature extraction and lesion segmentation by using a convolutional neural network (CNN) and a U-Net algorithm; laser parameter setting based on wavefront optimization, which involves adjusting laser parameters by means of a feedback control system; therapy execution, which involves tracking and adjusting a beam in real time by means of wavefront optimization and an optical flow algorithm; result assessment and adjustment, which involves assessing a treatment effect by using the CNN and the U-Net algorithm again, and adjusting the laser parameters for repeated treatments if necessary; and finally, assessing a treatment result for the patient after the treatment is completed. The method improves the accuracy, effect and safety of treatment, and increases the degree of satisfaction of a patient.

The invention relates to the technical field of large models, in particular to a TNM (Tumor Necrosis Model) staging prediction method and system in a clinical text of a large language model. Comprising the steps of data acquisition and preprocessing, instruction data acquisition, large language model instruction fine tuning, clinical text preprocessing, medical event extraction, preliminary event processing and screening, cue word engineering optimization, RAG technical framework combination, TNM staging result generation and JSON formatting output. By combining the natural language processing capacity of the large language model and the external knowledge retrieval function of the RAG technical framework, the efficient, accurate and wide-adaptability TNM staging prediction method and system are provided, the automation degree of clinical tumor staging can be effectively improved, a reliable staging basis can be provided for doctors, and the clinical tumor staging prediction efficiency is improved. With the continuous development of medical big data and artificial intelligence technology, the method has a wide application prospect and potential market value.

The invention relates to the technical field of medical health, in particular to an intelligent analysis system based on multi-modal medical data, which comprises a multi-modal feature extraction module used for extracting local and global features from medical images and text reports; the cross-modal alignment module is used for aligning potential representations of image and text modals through a variational auto-encoder and a decoupling characterization method; and the cross-modal interaction and fusion module is used for carrying out interaction and fusion on the modal features through a multi-head attention mechanism and a semantic guidance mechanism to generate shared multi-modal representation. According to the method, complementary information of medical images and report texts can be effectively integrated, meanwhile, the integrity of information in modals is ensured, meanwhile, through design and optimization of a plurality of innovative modules, the framework shows excellent performance in cross-modals of medical report analysis, and the method is suitable for popularization and application. An efficient and robust solution is provided for complex medical image and text report analysis.

A method and system for determining a regional weakening (RW) value in a blood vessel using ultrasonic imaging. A set of images of a portion of a given patient's body collected over time is received. A set of measurements representing the movement of the tissue of the blood vessel is received, and the set of measurements is determined based on the set of images. The movement of the wall and lumen at least partially indicates strain. A blood flow velocity value in the blood vessel is determined based on a Doppler image, and an RW parameter indicating the state of weakening in a region of the blood vessel is determined based on at least the set of measurements, thrombus burden, and blood flow velocity value. A map showing the circumference of the blood vessel including the regional weakening value and the strain value may be displayed.