8331results about "Ultrasonic/sonic/infrasonic image/data processing" patented technology

The invention discloses a multifunctional magnetic stimulation treatment system and an application method thereof, relates to the technical field of medical equipment, and solves the defects of unstable curative effect and limited application range caused by individual difference in the existing system. The precision of the laser beam is automatically adjusted through a self-adaptive calibration algorithm, and it is ensured that a treatment area is accurately positioned; optimal stimulation parameters are calculated through a self-adaptive magnetic field depth optimization algorithm, and pertinence and effectiveness of treatment parameters are ensured; the treatment effect is predicted through a feedback mapping algorithm, and the treatment parameters are dynamically adjusted to ensure the safety and effectiveness of the treatment process; physiological data, symptom description and medical history information of a patient are comprehensively analyzed and recognized through the complex disease pattern recognition module, a detailed disease pattern recognition report is output, the application range of the system is expanded, and personalized disease prediction and risk assessment are provided; the applicability and the curative effect of an existing system are greatly improved.

A computer-implemented method of processing patient image data comprises: receiving a patient-specific vascular model of an individual, wherein the patient-specific vascular model is based at least in part on medical images acquired of the individual; receiving a patient-specific tissue model of a tissue of the individual; observing an actual perfusion value of the tissue; determining at least one vessel pathology that causes the actual perfusion value; and selecting a candidate updated vascular model of the plurality of candidate updated vascular models that results in a minimum difference between the hypothetical perfusion value and the actual perfusion value; updating the patient-specific vascular model to include the at least one vessel pathology of the selected candidate updated vascular model; and outputting an estimate of a location of the at least one vessel pathology or an estimate of a severity of the at least one vessel pathology.

Disclosed is an intraluminal ultrasound imaging system, comprising a processor circuit in communication with an intraluminal ultrasound imaging catheter, and configured to receive an intraluminal ultrasound image from the imaging catheter within a body lumen of a patient, the body lumen comprising a plurality of segments. The processor is configured to identify a segment of the plurality of segments where the imaging catheter was located when the image was obtained, and output to a display a stylized figure of the body lumen including the plurality of segments, and an indicator identifying the segment in the stylized figure where the imaging catheter was located when the image was obtained.

A method for determining the speed of sound in a fluid in the region of an implanted, vascular support system includes sending an ultrasonic signal using an ultrasonic sensor, reflecting the ultrasonic signal on at least one sound reflector, receiving the reflected ultrasonic signal, and determining the speed of sound in the fluid using the ultrasonic signal. The at least one sound reflector may be visible in the field of vision of the ultrasonic sensor and arranged at a defined distance at least to the ultrasonic sensor or to a further sound reflector.

A vasculature assessment device includes an imaging probe configured to acquire raw image data of a blood vessel of a patient and a device module having a console coupled with the imaging probe. Logic stored in memory device module determines blood vessel data from the raw image data and applies a trained machine learning model to the blood vessel data to determine suggested catheter parameters for catheter to be inserted within the blood vessel. A vasculature assessment system includes a plurality of the vasculature assessment devices and a computing system coupled with the vasculature assessment devices. Machine learning logic of the computing system performs a machine learning algorithm on historical catheter placement data sets to define the trained machine learning model.

The invention discloses an intelligent dysphagia classification system and method based on multiple modes of ultrasonic images and electromyographic signals, and the method comprises the steps: obtaining an original ultrasonic image sequence and an original electromyographic signal sequence, and carrying out the time sequence alignment and adaptive noise suppression processing; performing multi-dimensional signal quality scoring and adaptive enhancement processing on the de-noised data; extracting time domain, frequency domain and time-frequency domain features from the enhanced data, and combining the time domain, frequency domain and time-frequency domain features; feature weights are calculated based on feature correlation and quality scores, and multi-layer fusion is carried out; carrying out feature classification by using a hierarchical classifier and evaluating reliability; and comprehensively evaluating the classification performance and optimizing system parameters. Through multi-modal data fusion and a self-adaptive processing mechanism, the accuracy and reliability of dysphagia diagnosis are improved, and the method has good clinical application value.

The invention discloses a heart ultrasonic monitoring system and method based on machine learning, and relates to the technical field of heart ultrasonic monitoring. The method comprises the steps of obtaining multi-modal data, performing standardization processing on the multi-modal data, and then performing space-time alignment processing to obtain a space-time aligned multi-modal feature cube; performing primary judgment on the time-space aligned multi-modal feature cube to obtain a primary judgment result; if the initial judgment result is normal, outputting multi-modal characteristic data; if the initial judgment result is abnormal, performing feature fusion processing on the time-space aligned multi-modal feature cube based on a hierarchical feature extraction network to obtain a joint feature coding vector; and performing abnormal ultrasonic monitoring on the combined feature coding vector, and outputting a cardiac ultrasonic monitoring result, so that the time-space correlation features of the ultrasonic image, the electrocardiosignal, the blood pressure and the blood biochemical index can be effectively fused, an abnormal mode is automatically identified through machine learning, and the early warning capability and the diagnosis precision of heart diseases are improved.

Disclosed herein is an ultrasound system for accessing a vasculature of a patient. The ultrasound system is configured to depict an enhanced ultrasound image of a subcutaneous portion of the patient including an icon surrounding a target vessel depicted on the display. The icon indicates to a clinician the target vessel is within range of a percentage vessel occupancy or vessel purchase length depending on a size of cannula or angle of insertion. The icon can also indicate blood flow strength, vessel type, or vessel deformation. The enhanced image can further include cannula trajectory guidelines and visual alerts for the clinician if the cannula tip can potentially backwall the vessel. Additional icons can indicate obstructions disposed on the cannula trajectory.

A vasculature assessment device includes an imaging probe configured to acquire raw image data of a blood vessel of a patient and a device module having a console coupled with the imaging probe. Logic stored in memory device module determines blood vessel data from the raw image data and applies a trained machine learning model to the blood vessel data to determine suggested catheter parameters for catheter to be inserted within the blood vessel. A vasculature assessment system includes a plurality of the vasculature assessment devices and a computing system coupled with the vasculature assessment devices. Machine learning logic of the computing system performs a machine learning algorithm on historical catheter placement data sets to define the trained machine learning model.

A histotripsy therapy system configured for the treatment of tissue is provided, which may include any number of features. Provided herein are systems and methods that provide efficacious non-invasive and minimally invasive therapeutic, diagnostic and research procedures. In particular, provided herein are optimized systems and methods that provide targeted, efficacious histotripsy in a variety of different regions and under a variety of different conditions without causing undesired tissue damage to intervening / non-target tissues or structures.

The invention is a delivery catheter, e.g., a guide catheter, having an imaging element in proximity to the distal end of the catheter. Catheters of the invention are able to placement of the catheter in proximity to an ostium, thereby increasing the efficiency of contrast delivery while reducing the risk of ischemia due to blocked blood supply. The invention additionally assists in maintaining catheter position during delivery of a fluid from the catheter, resulting in better performance with less fluid. For example, a catheter of the invention can be used to produce improved fluoroscopic images with less overall contrast. This improvement reduces the risk of an allergic reaction to the contrast while decreasing the length of time for a procedure, i.e., because of a need to re-contrast.

MRI interference with a co-existing ultrasound system may be reduced or avoided by carrying out RF-sensitive operations of the treatment system only when gradient field activity of the MRI system is suppressed.

An apparatus for treating or preventing a valvular disease, said apparatus comprising : - a ultrasound probe (2) located externally to a heart (H) of patient ( P), able to produce ultrasound waves focused inside said heart and suitable to generate, at a focal spot, a pressure sufficient to result in cavitation, - an imaging device (4) for mapping in real time a treatment region (C) of a cardiac valve of the patient, said treatment region comprising at least one leaflet of the cardiac valve, - a controller (5, 7, 8 ) configured for driving the ultrasound probe to emit a sequence of focused ultrasound waves, the controller being further configured for steering the focused ultrasound waves so as to scan the entire treatment region to soften the tissues of the treatment region. A method for treating or preventing valvular disease, carried out using said apparatus.

The invention relates to the technical field of computer vision, and discloses a thyroid ultrasonic robot automatic scanning method, device and equipment based on RGB images and depth information and a medium, and the method comprises the steps: obtaining image information and depth information, coding the depth information, fusing and recognizing a target scanning area, determining an initial scanning point and an initial scanning direction, controlling the scanning probe to scan and collect a real-time scanning image, analyzing the real-time scanning image to recognize a preset target and an artifact area, adjusting a scanning posture and a scanning path based on a recognition result, monitoring a continuous existence state of the preset target, and stopping scanning when the preset target is not recognized continuously. The target area is identified by fusing the multi-modal image information, the scanning posture and path are dynamically adjusted in combination with real-time image analysis, scanning termination is intelligently controlled according to the target detection result, the positioning accuracy, image quality and standardization level of ultrasonic scanning are improved, and the method is suitable for automatic ultrasonic imaging of thyroid and superficial organs.

The invention discloses an automatic vein and artery puncture control method, which is used for realizing high-precision puncture through precise control, and comprises the following steps of: after determining to start automatic vein and artery puncture control, collecting a blood vessel ultrasonic image; aiming at the target blood vessel ultrasonic image data, establishing a static artery blood vessel detection model based on a lightweight deep network and a target detection algorithm; the blood vessel detection model is used for detecting and positioning blood vessels; collecting a blood vessel image to be detected and positioned in real time, and obtaining the position and category of the blood vessel based on the trained blood vessel detection model; determining a target blood vessel position based on blood vessel positioning and classification, wherein the target blood vessel position is a puncture target position; planning a puncture path based on the target blood vessel position, including vein puncture path planning and artery puncture path planning; and converting the path and the control parameters based on puncture path planning. The invention further discloses a device and a system, which have low requirements on working environment, can adapt to dynamic environment, are convenient to popularize, reduce puncture difficulty and labor intensity and are portable.

Ultrasound devices and systems are disclosed in which cooling of an active acoustic element of an ultrasound transducer is achieved via an electrically conductive member that extends beyond a proximal side of the active acoustic element to contact a heat exchanger. The electrically conductive member delivers electrical driving signals to the active acoustic element while conducting heat to the heat exchanger. A region of the proximal surface of the active acoustic element that is free from contact with the electrically conductive member may also absent from contact with a liquid or a solid, thereby facilitating reflection of ultrasound energy. The heat exchanger may include an electrically insulating fluid that contacts the electrically conductive member to remove the heat conducted through the electrically conductive member. The active acoustic element may be a multilayer lateral mode element, and the electrically conductive member may form an electrode of the lateral mode element.

An intraluminal ultrasound device includes a flexible elongate member configured to be inserted into a lumen of a patient, the flexible elongate member comprising a proximal portion and a distal portion, an ultrasound imaging assembly disposed at the distal portion of the flexible elongate member, the ultrasound imaging assembly configured to obtain imaging data while positioned within the lumen of the patient; and a radiating member disposed at the distal portion of the flexible elongate member and in communication with an ultrasound transducer positioned outside of the patient, wherein the radiating member configured to transmit ultrasound energy from the ultrasound transducer within the lumen of the patient to apply an ultrasound therapy. Associated devices, systems and methods are also provided.

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.

Automated image analysis used in vascular state modeling. Coronary vasculature in particular is modeled in some embodiments. Methods of “virtual revascularization” of a presently stenotic vasculature are described; useful, for example, as a reference in disease state determinations. Structure and uses of a model which relates records comprising acquired images or other structured data to a vascular tree representation are described.

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.

A medical device-placing system including a medical-device tip-location sensor (“TLS”) configured for placement on a chest of a patient, an ultrasound probe, a console, and an alternative-reality headset. The ultrasound probe can be configured to emit ultrasound signals into the patient and receive echoed ultrasound signals from the patient. The console can be configured to transform the echoed ultrasound signals to produce ultrasound-image segments corresponding to anatomical structures of the patient, as well as transform TLS signals from the TLS into location information for a medical device within the patient. The alternative-reality headset can include a display screen through which a wearer of the alternative-reality headset can see the patient. The display screen can be configured to display over the patient a virtual medical per the location information for the medical device within objects of virtual anatomy corresponding to the ultrasound-image segments.

Systems and methods are disclosed for to determining a blood supply and blood demand. One method includes receiving a patient-specific model of vessel geometry of at least a portion of a coronary artery, wherein the model is based on patient-specific image data of at least a portion of a patient's heart having myocardium; determining a coronary blood supply based on the patient-specific model; determining at least a portion of the myocardium corresponding to the coronary artery; determining a myocardial blood demand based on either a mass or a volume of the portion of the myocardium, or based on perfusion imaging of the portion of the myocardium; and determining a relationship between the coronary blood supply and the myocardial blood demand.

The invention relates to the technical field of diagnosis, in particular to a diagnosis and treatment auxiliary system and method for the obstetrics and gynecology department, and the system comprises a parameter collection module, a feature offset recognition module, a feature reconstruction module, a collaborative trend recognition module and a diagnosis and treatment suggestion generation module. According to the system and the method, the body temperature, the heart rate, the pulse, the blood pressure and the image edge density are synchronously acquired and the timestamps are bound, so that a structured diagnosis and treatment data unit is formed, the time sequence comparison capability of multi-source information is effectively improved, and potential risk points can be positioned and feature tags can be constructed based on a numerical value offset identification and synchronous index combined judgment mechanism; according to the method, physical signs, images and laboratory data are normalized and fused into three-dimensional vectors, cross-dimensional feature linkage expression is achieved, the dynamic insight ability to pathological state changes is improved by screening features with large variation amplitude and long duration time and judging trend consistency, and the accurate response to the fetal risk state is enhanced by combining a specific trend combination matching rule.

A method and a system for determining regional weakening (RW) values in a blood vessel using ultrasound imaging. A set of images of a portion of a body of a given patient having been acquired over time are received. A set of measurements representative of movements of tissues of the blood vessel are received, the set of measurements having been determined based on the set of images. The movements of the wall and the lumen are at least partially indicative of strain. Blood velocity values in the blood vessel are determined based on the Doppler images, and a RW parameter indicative of a state of weakening in regions of the blood vessel is determined based on at least the set of measurements, thrombus load and blood velocity values. A map showing a circumference of the blood vessel including regional weakening and strain values may be displayed.

An ultrasound imaging system configured to generate a three-dimensional (3D) ultrasound image of a target area. The ultrasound imaging system includes a console including one or more processors and non-transitory computer readable medium having stored thereon one or more logic modules, and an ultrasound probe configured to acquire a plurality of ultrasound images of a target area. The ultrasound probe can be coupled to the console by an ultrasound probe connector having optical fiber including one or more core fibers. The console is configured to generate the 3D ultrasound image by stitching together the plurality of ultrasound images, starting from a point of reference. The point of reference can be the ultrasound probe, one or more anatomical targets, an elongate medical device, a reference magnet, or one or more accelerometers.

An image processing apparatus is disclosed. The image processing apparatus of the present invention comprises: an image receiving unit for receiving a first image and a second image of the same object taken at different times; a processor for obtaining transformation information by registering the first image on the basis of the second image, obtaining a first segment image corresponding to an area of the object from the first image, and generating a second segment image corresponding to an area of the object of the second image by transforming the obtained first segment image according to the transformation information; and an output unit for outputting the second segment image.

An ultrasound probe includes a light source configured to project a visual indication onto a skin surface of the patient. The visual indication includes different visual characteristics that are based on characteristics of the anatomical target such as a location with respect to the probe and / or an identification of an anatomical target as a vein or as an anatomical element other than a vein, such as an artery. Visual characteristics include shapes, locations, and / or colors of the projected visual indication. Logic of the probe performs location and / or identification processes on ultrasound image data that may include applying trained machine-learning models to the ultrasound image data. Some embodiments, include a virtual / augmented reality headset and / or a needle tracking system. An ultrasound system includes machine-learning logic that generates the trained machine-learning models from historical ultrasound image data sets and actual anatomical target location / identification data sets.

The invention relates to the field of cardiology department operations through vascular intervention, and discloses an interventional operation navigation system based on multi-modal image fusion, which comprises a preoperative three-dimensional reconstruction and planning module, which is mainly used for generating a three-dimensional model of a heart through preoperative image data, and planning the position and section of an intraoperative ICE ultrasonic probe based on the model, the intraoperative multi-modal fusion navigation module is mainly used for fusing a three-dimensional model generated before an operation with an intraoperative real-time image and providing accurate navigation support for a doctor; and the dynamic feedback optimization module is mainly used for updating a dynamic track in real time and performing safety protection. According to the invention, through the preoperative three-dimensional reconstruction and virtual path planning module, in combination with the improved 3D U-Net network and the high-precision segmentation algorithm, a three-dimensional model containing key anatomical markers is generated, 20 groups of ICE probe alternative paths are planned, seamless connection of preoperative three-dimensional anatomical information and intraoperative real-time images is realized, doctors can quickly call pre-planned paths, and the accuracy of the ICE probe anatomy is improved. Adjusting time during operation is shortened, and operation efficiency is improved.

The invention relates to the technical field of remote medical treatment, in particular to a remote ultrasonic diagnosis support system based on cloud computing, which comprises an echo feature analysis module, a dynamic focus screening module, a case image comparison module, a focus trend classification module and a remote diagnosis support module. According to the method, by analyzing echo signals in a remote ultrasonic image data stream and calculating the echo change rate between image frames, the dynamic characteristic capturing capacity of a lesion area is improved, calculation of a gray gradient change value is combined, a suspected lesion area conforming to a change rate stable interval is screened, lesion shape edge curve contour parameters are utilized, and the dynamic characteristic capturing capacity of the lesion area is improved. The method comprises the following steps: performing matching analysis with an ultrasonic case image database, enhancing the accuracy of lesion category attribution, analyzing the morphological change trend of a lesion area, combining trend stability index calculation, realizing lesion evolution classification, ensuring the reasonability of lesion type division, and marking a progressive lesion area, so that remote diagnosis is more intuitive; and the auxiliary decision-making capability is improved.

The invention belongs to the technical field of medical image assistance, and particularly relates to an auxiliary stereo imaging system and method for a complex chest trauma operation. By integrating multi-modal image data, real-time three-dimensional space capture, dynamic correction and risk score driven view adjustment, accurate assistance of the thymotomy operation process is achieved, the accuracy and safety of the operation are improved, the operation risk and operation difficulty are remarkably reduced, and the operation efficiency is improved. By acquiring and processing multi-modal image data in real time, a high-precision three-dimensional anatomical structure model containing thymus tissues, a blood vessel network and nerve distribution can be constructed, a visual surgical navigation view is provided for a doctor, meanwhile, a dynamic correction technology is adopted, thymus displacement parameters caused by thoracic cavity respiratory movement of a patient are monitored in real time, and the thoracic cavity of the patient can be accurately and accurately positioned. And on the basis, the real-time three-dimensional space data is dynamically adjusted, so that the spatial synchronization of the image data and the anatomical structure is ensured, and the navigation error caused by respiratory movement is effectively avoided.