106 results about "Target lesion" patented technology

The invention discloses a drug eluting stent, which comprises a stent main body and a plurality of thorn-shaped components, the stent main body has a radially compressible contraction state and a radially self-expanding expansion state to support blood vessels, and the plurality of thorn-shaped components are arranged on the outer surface of the stent main body and coated with a drug coating for inhibiting vascular restenosis. The spine-shaped components are arranged on the stent body and are configured to protrude towards the outer side of the stent body from the outer surface of the stent body to penetrate into calcified lesions on the inner wall of a blood vessel when the stent body is switched from the contraction state to the expansion state, each spine-shaped component is provided with a part capable of generating elastic deformation, and the spine-shaped components are configured to be capable of generating deformation in a self-adaptive mode according to the thickness of the contacted calcified lesions. Therefore, the medicine can be uniformly distributed in a target lesion area, and the utilization rate of the medicine and the treatment effect are remarkably improved.

The invention discloses a breast surgery puncture positioning system, which relates to the technical field of image positioning, and is characterized in that a preoperative medical image and an intraoperative ultrasonic image of a patient are acquired to generate a three-dimensional model, an optimal puncture path is planned by receiving a needle insertion point of a user, and the spatial pose of a puncture needle is tracked; the optimal puncture path and the position and posture of the puncture needle are displayed on the real-time ultrasonic image in an overlapped mode, real-time deviation is calculated, the puncture needle is guided and adjusted to the target focus, and real-time compensation is carried out based on the respiratory signal and / or the displacement of the reference datum. Through the multi-modal image fusion and real-time dynamic tracking technology, the puncture precision and hit rate are remarkably improved, meanwhile, the system intelligently plans a safe path and provides an AR navigation interface, the operation difficulty and dependence on doctor experience are greatly reduced, physiological displacement interference is overcome through respiratory gating and a motion compensation mechanism, and the system has the advantages of being high in accuracy and high in reliability. Accuracy and reliability in the whole operation process are guaranteed, and finally standardized and safe mammary gland puncture diagnosis and treatment operation is achieved.

Methods and systems for identifying a region of interest in breast tissue utilize artificial intelligence to confirm that a target lesion identified during imaging the breast tissue using a first imaging modality (e.g. x-ray imaging) has been identified using a second imaging modality (e.g. ultrasound imaging). A computing system operating a lesion matching engine utilizes a machine learning classifier algorithm trained on cases of x-ray images and corresponding ultrasound images in which lesions were identified for further analysis. The lesion matching engine analyzes a target lesion identified with x-ray imaging and a potential lesion identified with ultrasound imaging to determine a likelihood that the target lesion is the same as the potential lesion. A confidence level indicator for the lesion match is presented on a display of a computing device to aid a healthcare provider in locating a lesion in breast tissue.

The invention provides a target focus identification method, system and device based on a medical image, a computer storage medium and a computer program product, and the method comprises the steps: generating an MPR feature vector and a DICOM metadata feature vector which are aligned in dimension based on medical image coding, the MPR feature vector comprises the form and spatial position information of an anatomical structure, and the DICOM metadata feature vector comprises the form and spatial position information of the anatomical structure; the DICOM metadata feature vector comprises scanning parameters, equipment information and patient body position information; the MPR feature vector and the DICOM metadata feature vector are fused through a bidirectional cross attention mechanism, and a comprehensive feature vector containing lesion semantics and space details is generated; and processing the comprehensive feature vector by using a neural network model based on a Transform architecture, and outputting an identification result of the target focus. By adopting the scheme provided by the invention, the complementation of semantic information such as anatomical morphological characteristics and scanning parameters is realized, and the recognition precision of the target focus is improved.

The present invention relates to an image navigation method and system for a surgical microscope. The method includes: first, after fixing a surgical object and markers, radiographing the surgical object and markers to obtain a three-dimensional digital image; then, positioning the markers in the three-dimensional digital image to form a three-dimensional coordinate system and obtain the relative position between the target lesion and the markers; then, plotting a surgical instrument entry point and path guidance points on the three-dimensional digital image to form a navigation path, and transmitting the navigation path data to a media signal processing device; then, positioning the target lesion and markers within the field of view of the surgical microscope and transmitting the image within the field of view of the surgical microscope to the media signal processing device; the media signal processing device recognizing the markers to form a three-dimensional space corresponding to the image within the field of view of the surgical microscope; and real-time navigation is achieved by superimposing the navigation path image at predetermined coordinates on the image within the field of view of the surgical microscope in the three-dimensional space. The system includes a surgical microscope, a media signal processing device, and markers, and the surgical microscope includes a microscope tube and an image enhancement device. By accurately positioning the surgical instrument entry point and path guidance point, the present invention can guide a doctor or related personnel in completing dental treatment and surgery, thereby improving the precision of surgery.

To provide a method for measuring changes in the size of a target lesion in an X-ray image.SOLUTION: The present disclosure comprises the steps of: receiving a first X-ray image including a target lesion and a second X-ray image including the target lesion; calculating an occupancy rate of a region corresponding to the target lesion in each of the reference regions in the first X-ray image and the second X-ray image; and measuring changes in the size of the target lesion based on the calculated occupancy rate.SELECTED DRAWING: Figure 1

Systems and methods for planning a medical procedure and / or navigating during a medical procedure are described. In one aspect, an expected trajectory of a treatment tool extendable from a flexible elongate device is determined based on a pose of the flexible elongate device. A planned ablation zone is determined relative to a model representing the internal patient anatomy and the target lesion based on the insertion distance of the treatment tool and the expected trajectory. A display device is caused to display a graphical user interface depicting the expected tool trajectory and the planned ablation zone. In another aspect, the position of the flexible elongate device is determined relative to a model representing a target lesion. A trajectory along which the treatment tool is accessible to the target lesion is determined based on the location of the target lesion and the location of the flexible elongate device.

According to the ultrasonic imaging equipment and the lesion distribution presentation method provided by the invention, the volume data is firstly obtained, then the target tissue and the target lesion are identified from the volume data to obtain the three-dimensional contours of the target tissue and the target lesion, and then the three-dimensional schematic diagram is generated based on the two three-dimensional contours. The three-dimensional schematic diagram is used for presenting the form of the target tissue and the form and the position of the target focus in the target tissue, so that a user can intuitively know the distribution condition of the focus in space, the distribution of the focus is easier to understand and master compared with an ultrasonic image, and the working efficiency of a doctor is improved. And generating a two-dimensional diagram corresponding to at least one target section according to the three-dimensional contour of the target tissue and the focus, wherein the two-dimensional diagram corresponding to the target section comprises a target tissue graph used for presenting the form of the target tissue and a target focus graph used for presenting the form and the position of the target focus. Therefore, the user can know the distribution of the focus through the two-dimensional schematic diagram.

The invention provides an image detection method and device, equipment and a storage medium, and the method comprises the steps: obtaining a detection image obtained through plain-scan CT, and extracting a target body part image from the detection image; performing first image classification segmentation processing on the target body part image through a first image detection model to determine that a first target lesion type and a lesion area corresponding to the first target lesion type exist in the target body part image; and performing second image classification segmentation processing on the target body part image through a second image detection model to determine a second target lesion type and a lesion area existing in the target body part image, the second target lesion type being a sub-category of the first target lesion type. Through cooperation of the two image detection models, refined detection of an image containing a lesion type and a lesion area can be realized.

The utility model provides a C-shaped curved stepped balloon catheter, which relates to the technical field of kidney intervention.The C-shaped curved stepped balloon catheter comprises a first balloon head end, the side end of the first balloon head end is integrally communicated with a concave bent wrinkled edge, and the side end of the concave bent wrinkled edge is integrally communicated with a second balloon tail end. In a non-working state, the wall of the balloon in the whole structure is folded to be in a straight column shape, a guide wire can conveniently pass through the balloon to reach a diseased region, in a working state, the whole balloon is in a C shape and is divided into two sections, the diameter of the head end of the first balloon ranges from 4 mm to 5 mm, the first balloon crosses an internal fistula anastomotic stoma to be placed in an artery, the diameter of the tail end of the second balloon ranges from 6 mm to be placed in a vein, and after the whole balloon is placed into a target lesion through the guide wire, the whole balloon is placed into the target lesion through the guide wire. The bending direction is adjusted, a pressure pump is connected, pressurization is conducted, the head end of the first balloon, the concave bending wrinkled edge and the tail end of the second balloon are expanded, arteries and veins with different inner diameters are expanded at the same time through radial force, and fracture caused by tearing of anastomotic stoma is avoided.

An artificial intelligence-based lesion analysis device and method utilizing the characteristics of blood vessels surrounding a lesion are disclosed. An artificial intelligence-based lesion analysis method utilizing the characteristics of blood vessels surrounding a lesion according to one embodiment of the present invention may include: (a) acquiring a medical image of a subject; (b) inputting the medical image into a pre-established segmentation model to segment a lesion region included in the medical image and a blood vessel region surrounding the lesion region; (c) extracting blood vessel feature information from the segmented blood vessel region; and (d) inputting the blood vessel feature information into a pre-established analysis model to generate analysis information associated with a target lesion of the subject.

The application discloses a self-expanding balloon catheter and relates to the technical field of medical devices, which comprises a main pipe body, a self-expanding balloon and an outer sheath pipe, the outer sheath pipe is sleeved on the main pipe body and is in sliding connection with the main pipe body, the self-expanding balloon is provided with two groups and is located at the proximal end and the distal end of the main pipe body, the main pipe body comprises a medicine injection channel with a medicine release side hole, and the side hole is located between the two groups of self-expanding balloons, and the outer sheath pipe is used for restraining the self-expanding balloon. Through the arrangement, the self-expanding balloon is adopted, the balloon can be self-inflated and expanded, and it is not necessary to rely on external injection of gas or liquid, which is favorable for simplifying the operation process and shortening the operation time; in a non-working state, the balloon is restrained by the outer sheath pipe and is in a contracted state, so that the overall diameter of the catheter is reduced, and it is favorable for sending the catheter to a target lesion position; the outer sheath pipe is withdrawn, the restriction of the balloon is released, the double balloons are self-inflated in a cavity and form a closed medicine perfusion treatment cavity, and it is favorable for realizing local and accurate treatment of non-blood vessel cavity lesions.

The present invention discloses an endoscope-based digital image enhancement method and system, which aims to solve the imaging limitations of traditional endoscopes in multi-lesion positioning and targeted intervention. The endoscope-based digital image enhancement method can perform endoscopic image acquisition, wireless transmission, abnormal anchor point identification and controllable terminal targeted intervention operations. The enhancement system for implementing the endoscope-based digital image enhancement method identifies suspected lesions through image analysis, the control unit issues a release instruction, causes the endoscope to release the controllable terminal and establish communication, the scheduling system navigates the controllable terminal to the abnormal anchor point according to the position information, acquires and transmits the digitally enhanced lesion image, and the judgment unit analyzes whether there is a target lesion with intervention value. This method can enhance the digital image in the human body cavity and improve the accuracy of lesion identification and intervention efficiency.

A guide extension catheter (300) positionable within a guide catheter (302) and configured to receive an interventional device for insertion into the vasculature. The guide extension conduit includes a pushing member (322), a first reinforcing member (306) in contact with the pushing member, and a radially collapsible tubular membrane (310) in contact with the pushing member and the first reinforcing member. A tubular membrane is positioned distal to the first reinforcing member and radially collapses or wraps around the pushing member prior to receiving the interventional device. The urging member provides sufficient columnar strength to prevent longitudinal collapse of the tubular membrane during use. The guide extension catheter may access a target lesion in the vasculature and optionally provide a lower friction, larger diameter pathway (for a given compatible guide catheter size) through the target lesion in the vasculature, thereby reducing microscopic and macroscopic vasculature damage caused by delivery of the interventional device.

The application discloses a kind of indoor light control method, system, equipment and medium, the control method includes: determining the target lesion area of patient;According to the angle information between target lesion area and lighting device, the lighting weight information corresponding to lighting device is calculated;Control lighting device emits light in line with corresponding lighting weight information to target lesion area.The application controls lighting device to emit light according to the lighting weight information calculated according to the angle information between target lesion area and lighting device, can automatically adjust the power or brightness of each lighting device, avoids user manually adjusting the lighting parameter of each lighting device in operating room, solves the problem that composite operating room relies on artificial adjustment shadowless lamp;It improves the intelligent degree of operating room shadowless lamp;Enhance the experience of user.

The invention discloses a sample anti-pollution sampler for gynecological detection, which relates to the technical field of sampling devices, and comprises a mounting part, a grip and a stretching tube, the air exhaust sliding pipe is arranged in the extending pipe in a penetrating manner; the driving mechanism is arranged on the mounting part and used for driving the air exhaust sliding pipe to move and driving the air exhaust sliding pipe to rotate around the axis of the air exhaust sliding pipe in the moving process; the cutting executing mechanism is connected with the stretching-in end of the air exhaust sliding pipe, contracts in the radial direction along with the axial movement of the air exhaust sliding pipe and rotates along with the rotation of the air exhaust sliding pipe so as to conduct girdling on the target tissue; and the sample absorbing mechanism is communicated with an internal channel of the air exhaust sliding pipe, is used for absorbing and accommodating target tissues under the action of negative pressure, and moves along with the axial movement of the air exhaust sliding pipe. According to the device, negative pressure is generated through external air exhaust equipment, target pathological tissues are adsorbed and pulled into the sample adsorption mechanism, and the problems that the pathological tissues do not protrude out of the surface of normal tissues, and positioning and clamping are difficult in a traditional clamping mode are effectively solved.

This information processing system comprises at least one processor. The at least one processor acquires one or more target images indicating one or more target pelvic organs of a subject, and inputs each of the one or more target images to an image analysis model, which is trained so as to identify the pelvic organ and at least one lesion related to the pelvic organ from the input image, to generate one or more analysis result images indicating the result of processing by the image analysis model in a format in which each of the one or more target pelvic organs and a target lesion that is the lesion of the subject are distinguished from each other.

The present disclosure relates to an oral cavity detection method, device and equipment, comprising: obtaining a three-dimensional tooth model by scanning; detecting a target lesion area of the tooth and its confidence level based on an oral cavity detection model under a current detection view angle; back-projecting the target lesion area to the three-dimensional tooth model to obtain a current lesion position of the three-dimensional tooth model; judging whether the area overlap degree of the current lesion position and a historical lesion position is higher than a preset threshold; if yes, selecting the one with high confidence level as the target lesion position from the current lesion position and the historical lesion position, and updating the mark of the target lesion position; if no, determining the current lesion position as a new lesion position, and adding a mark of the new lesion position; determining a next detection view angle and performing the above operation again until the operation under the last detection view angle is completed, and obtaining multiple lesion positions of the three-dimensional tooth model. The present disclosure can improve the oral cavity detection efficiency and lesion marking accuracy.

The invention discloses a medical aid decision-making method and system based on multi-modal deep learning, and relates to the technical field of auxiliary diagnosis, and the method comprises the steps: obtaining medical image data and non-image data of a target object; based on the medical image data and the non-image data, identifying and segmenting a target focus area, and respectively extracting a depth image feature and a depth non-image feature of the target focus area; the depth image features and the depth non-image features are fused, and comprehensive feature representation of the focus is generated; and segmenting at least one key anatomical structure around the target lesion area by taking the target lesion area as a center. According to the method, the focus-key anatomical structure heterogeneous graph is constructed, and the graph neural network is used for reasoning, so that key pathological interaction relationships such as traction of a nodule to a blood vessel and infringement of the nodule to a bronchial tube can be automatically and quantitatively modeled. Accurate modeling and deep reasoning of the focus-microenvironment complex interaction relation are achieved, and the biological basis of diagnosis and the credibility of the model are improved.

The invention discloses a cone-beam CT arterial phase automatic scanning method and system based on forward projection, and relates to the technical field of medical image.The method comprises the steps that low-dose cone-beam CT pre-scanning is conducted on a target area when a contrast agent is not injected, a three-dimensional image is reconstructed, a to-be-monitored anatomical structure is selected on the three-dimensional image to form a three-dimensional area of interest, and the three-dimensional area of interest is obtained; the method comprises the following steps of: performing forward projection on a three-dimensional region of interest based on cone beam CT geometric parameters to obtain a two-dimensional monitoring region template corresponding to each rack angle, acquiring a real-time perspective image sequence in a contrast agent injection process, calling the corresponding two-dimensional monitoring region template for each frame of image to calculate a monitoring signal, acquiring a baseline value before contrast, calculating a difference value, and acquiring a real-time perspective image sequence; when the difference value reaches a preset threshold value, a trigger signal is output to start arterial phase cone beam CT scanning. Through three-dimensional pre-scanning targeted forward projection and real-time threshold monitoring, the arrival of a target focus contrast agent is accurately judged, the accuracy of the imaging opportunity in the arterial phase is improved, and the radiation dose is reduced.

A method and apparatus for generating a lesion model of a target site, and a computer readable storage medium. The method comprises: acquiring a target lesion type of a target site; on the basis of the target lesion type of the target site, determining a plurality of target sub-anatomical structure models from a model database of the target site; on the basis of the plurality of target sub-anatomical structure models, generating a lesion model of the target site about the target lesion type; and displaying the lesion model of the target site about the target lesion type. According to the present application, a lesion model of a corresponding lesion type can be generated for the target site.

The invention discloses a PCI drug balloon postoperative effect prediction method, device and equipment based on coronary DSA and plaque property judgment and a storage medium. The PCI drug balloon postoperative effect prediction method comprises the steps that firstly, a PCI preoperative DSA image sequence of a patient to be evaluated is obtained; reconstructing a three-dimensional blood vessel center line of the target lesion segment based on the DSA image sequence, calculating lumen geometric features, inputting the lumen geometric features into a pre-trained plaque property judgment model, and outputting a plaque property judgment result of the target lesion; further combining a plaque property judgment result, DSA-derived vascular morphological parameters, clinical information of a patient and drug balloon instrument parameters to construct a comprehensive feature set; and finally, inputting the comprehensive feature set into a pre-trained regression prediction model, and outputting a PCI drug balloon postoperative prediction effect. According to the method, the plaque type is inversed through the geometrical characteristics of the lumen, the defect that conventional DSA evaluation lacks plaque histological information is overcome, and the reliability of drug balloon postoperative effect prediction is improved.

The present disclosure provides a CT image processing method, device, equipment, storage medium and program product, relating to deep learning technology, AI medical technology, comprising: determining a lung parenchyma region in a computed tomography (CT) image, and cutting out an initial lung parenchyma image from the CT image according to the lung parenchyma region; processing the initial lung parenchyma image to obtain a lesion segmentation mask; processing the initial lung parenchyma image to obtain a predicted lesion region in the initial lung parenchyma image; determining a target lesion region and a target lesion mask corresponding to the target lesion region according to the lesion segmentation mask and the predicted lesion region, wherein the target lesion mask is located in the target lesion region. In this implementation, the lesion region is identified by segmentation and detection, and the target lesion region and the target lesion mask inside the target lesion region are obtained by fusing the two identification results, thereby reducing the probability of missed detection.

A method for measuring a size change of a target lesion in an X-ray image is provided, including receiving a first X-ray image including the target lesion and a second X-ray image including the target lesion, calculating an occupancy of a region corresponding to the target lesion in criterion regions in each of the first X-ray image and the second X-ray image, and measuring a size change of the target lesion based on the calculated occupancies.

The invention discloses an image processing method based on artificial intelligence, and belongs to the technical field of image processing. The method comprises the following steps: setting a sliding window for an ultrasonic image, and obtaining line and column texture relevance of pixel points; converting and exponentially amplifying the irrelevance, and screening row and column lesion points; extracting same target lesion points to form a first lesion target area and a second lesion target area; segmenting the boundary of the region, obtaining sharpness and branch degrees, and forming a sequence; and lesion region classification is obtained by processing the sequence through a lesion region recognition neural network. According to the method, lesion textures and morphological features are accurately extracted and intelligently analyzed, so that the classification accuracy is improved, and an efficient technical scheme is provided for ultrasonic lesion diagnosis.

The present invention discloses a lesion detection method and system based on image recognition. The method includes: acquiring a medical image to be detected and inputting the medical image into a pre-trained lesion area localization model to determine a preliminary lesion area containing a lesion in the medical image to be detected; acquiring a preliminary lesion area image of the preliminary lesion area and inputting the preliminary lesion area image into a pre-trained lesion area extraction model to obtain a target lesion area image of the lesion; and inputting the target lesion area image into a pre-trained lesion recognition model to obtain the lesion type in the medical image to be detected. The present invention solves the problem of low accuracy in lesion detection in the prior art.

A guide extension catheter is provided that can provide a low-friction, large-diameter (for a given compatible guide catheter size) passageway proximal to and optionally through a target lesion within the vasculature, thereby reducing micro- and macro-vasculature damage due to the delivery of an interventional device. A guide extension catheter is disclosed that is positionable within a guide catheter and configured to receive an interventional device for insertion into the vascular system. The guide extension catheter includes a push member, a first reinforcing member in contact with the push member, and a radially collapsible tubular membrane in contact with the push member and the first reinforcing member. The tubular membrane is positioned distal to the first reinforcing member and is radially collapsed or wrapped around the push member prior to receiving the interventional device. The push member provides sufficient column strength to prevent longitudinal collapse of the tubular membrane during use.

The invention discloses a vascular intervention catheter integrated with a real-time imaging function and an interventional therapy system.The vascular intervention catheter integrated with the real-time imaging function comprises a catheter body and an imaging probe, a working channel is formed in the catheter body, the imaging probe is arranged on the side wall of the far end of the catheter body, and in the process that the catheter body stretches into a blood vessel, the working channel is communicated with the imaging probe. The imaging probe can acquire image information in a blood vessel in real time, the catheter body stops moving when stretching into a target focus position, then corresponding surgical operation can be carried out, and the working channel is used for the working part to carry out operation according to the image information acquired by the imaging probe, so that the function of operating while observing is achieved. By means of the vascular intervention catheter, continuous visualization of the whole operation process can be achieved; the first-time passing success rate and the overall efficiency of the operation are improved; and the safety and controllability of the operation are improved.

The present application relates to the technical field of medical devices, and provides a continuum mechanical arm structure integrated with laser focusing and ultrasonic feedback functions, comprising a distal continuum module, a proximal continuum module, a first driving tendon and a second driving tendon, the first driving tendon being used for controlling movement of the distal continuum module, and the second driving tendon being used for controlling movement of the proximal continuum module; a pose detection module and a laser optical module are sequentially arranged at the front end of the distal continuum module, the pose detection module is used for acquiring relative pose information of a target lesion, and the laser optical module is used for projecting laser energy to treat the target lesion; an endoscope vision module is arranged on the side wall of the distal continuum module, and the endoscope vision module is used for acquiring image information. The present application not only can improve the flexibility and adaptability of surgery, but also can realize precise treatment, improve treatment effect, avoid damage to surrounding healthy tissues, reduce surgical risk, and meet the requirements of flexibility and accuracy of orthopedic treatment.

The invention provides a target detection method and device, equipment and a storage medium, which are used for solving the problem of low target detection accuracy. The method at least comprises the following steps: based on biological tissue characteristics extracted from a to-be-detected image, carrying out region division on a region where abnormal tissues are located in the to-be-detected image to obtain at least one lesion reference region; based on the visual pathological features extracted from the to-be-detected image, predicting lesion positions in the to-be-detected image, and obtaining a plurality of candidate lesion positions; aiming at the at least one lesion reference area, respectively executing the following steps: selecting a target lesion position of which the position relationship meets a position association condition from the plurality of candidate lesion positions based on the position relationship between each of the plurality of candidate lesion positions and one lesion reference area; and obtaining a target detection result based on the obtained at least one target lesion position. And at least one target lesion position with the most suspected lesion and the most representative is screened out through the position relationship, so that the target detection accuracy is improved.