35 results about "Cranial aneurysm" patented technology

The invention relates to the technical field of medical treatment, in particular to an intracranial aneurysm rupture risk assessment and management system based on an internet hospital, which comprises a patient end module, a patient end module, a management end module and a management end module, and the patient end module uploads medical history data and performs automatic filing and labeling processing on basic health data through a system standardization questionnaire and a multi-modal data acquisition mechanism; according to the method, the consistency and comparability of the health data are realized through vectorization coding and standardization processing; a blind deconvolution technology is adopted to improve the definition of a cerebrovascular image, and risk assessment is optimized in combination with the image and clinical features; privacy is protected through a self-adaptive watermarking technology, and data security and compliance are ensured in combination with double encryption and de-identification processing; the system timely identifies risks and pushes personalized health intervention through dynamic monitoring and intelligent early warning, and the accuracy and initiative of chronic disease management are improved. In addition, the block chain technology ensures data traceability and tampering prevention, and the doctor-patient trust is enhanced.

The invention discloses an information processing method and device for intracranial aneurysm hemodynamic prediction, equipment and a medium, and relates to the technical field of artificial intelligence, and the method comprises the steps: receiving a three-dimensional medical image containing an intracranial aneurysm, inputting the three-dimensional medical image into a target hemodynamic prediction model, and capturing the comprehensive morphological characteristics of the intracranial aneurysm from the three-dimensional medical image; inputting the blood flow boundary condition into the target hemodynamics prediction model, and performing low-dimensional mapping on the blood flow boundary condition to obtain a first low-dimensional feature vector; receiving a spatial point coordinate and a directional distance corresponding to each sampling point in the CFD model formed in the intracranial aneurysm area, and performing low-dimensional mapping on the spatial point coordinate and the directional distance to obtain a second low-dimensional feature vector; and performing feature fusion on the comprehensive morphological features, the first low-dimensional feature vectors and the second low-dimensional feature vectors through a feature fusion module to predict hemodynamic parameters. And end-to-end hemodynamic parameter prediction is realized.

An aneurysm rupture risk prediction device based on stacking and CTGAN enhanced data comprises a processor configured to obtain case data of an intracranial aneurysm patient and process the case data to obtain a training set; inputting the training set into a CTGAN framework, enabling the generator to learn a potential data distribution mode through adversarial training between the generator and a discriminator, generating a synthetic sample simulating the training set by using the stabilized generator, and combining the synthetic sample with the training set in proportion to form an enhanced data set; constructing a heterogeneous model pool containing a random forest, a LightGBM, logistic regression and a support vector machine, taking the logistic regression as a meta-model, training four basic classifiers by adopting a training set, inputting a verification set into the trained basic classifiers, inputting a prediction result as a meta-feature into the meta-model, and obtaining a prediction result of the random forest, the logistic regression and the support vector machine; and carrying out weighted summation on the prediction result to obtain a final aneurysm rupture risk prediction result. The device provided by the invention can improve the prediction accuracy.

An intracranial stent includes a proximal end, a distal end, and a tubular sidewall extending there between and a patch covering at least a portion of the sidewall; wherein the patch is capable of diverting blood flow past the neck of an intracranial aneurysm. The patch may be made of a photon-activatable material or a tightly woven metal material with a density greater than a density of the sidewall itself.

The present invention relates to a novel intracranial aneurysm occlusion device and a manufacturing method thereof. The occlusion device includes an occlusion device body, a radiopaque marker, a delivery guide wire, a separation point, a delivery tube, and a separator. The radiopaque markers are respectively fixed to the distal end and the proximal end of the occlusion device body. The occlusion device is woven into a net shape by 24 - 72 strands of nitinol shape memory alloy wire. After the occlusion device is fully expanded, radiopaque markers are provided at both the distal end and the proximal end, and the radiopaque markers respectively bundle and fix the nitinol shape memory alloy wires at the distal end and the proximal end of the occlusion device. The delivery guide wire is located inside the delivery tube. A separation point is provided between the radiopaque marker at the proximal end of the occlusion device and the distal end of the delivery guide wire. The proximal end of the delivery guide wire is connected to the separator. The manufacturing method of the occlusion device is shaped by an occlusion device mold. Without craniotomy, for intracranial aneurysms with a narrow upper part and a wide lower part, giant aneurysms, and bifurcation aneurysms, by implanting the occlusion device body, the occlusion device has a stable structure, can quickly and densely fill the aneurysm cavity after deployment, thereby slowing down the blood flow in the aneurysm cavity, reducing the impact pressure of the blood on the aneurysm cavity, enhancing the repair ability, and achieving the purpose of treating aneurysms.

The invention relates to the technical field of medical image processing, in particular to an intracranial aneurysm image segmentation method based on a 3D U-Net optimization model, and the method comprises the following steps: obtaining intracranial aneurysm CTA image data; an aneurysm area is recognized and positioned in the intracranial aneurysm CTA image data through a MedLAM algorithm, and a multi-scale probability graph containing aneurysm position information is obtained; and inputting the multi-scale probability graph into a 3D U-Net network to segment the aneurysm region to obtain a segmentation result of the anatomical structure of the aneurysm. According to the method, firstly, the MedLAM is used for preliminarily identifying and positioning the intracranial aneurysm, then the 3D U-Net is used for precise segmentation, and the pre-positioning step of the MedLAM is introduced before the intracranial aneurysm is segmented, so that the intracranial aneurysm can occupy a significant part in the image, the defect that the long-distance correlation is not enough to be captured in the 3D U-Net can be effectively made up, and the accuracy and the accuracy of the segmentation of the intracranial aneurysm can be improved. The pre-positioning is matched with the 3D U-Net, so that the segmentation precision is remarkably improved, and the overall efficiency can also be improved.

The utility model relates to a controllable intracranial aneurysm plugging device. The controllable intracranial aneurysm plugging device comprises a conveying mechanism and a controllable expansion body, a far-end developing point and a near-end developing point are respectively arranged at two ends of the controllable expansion body; the conveying mechanism comprises a thin tube and an inner core wire penetrating through the thin tube, and the far end of the inner core wire penetrates into the controllable expansion body from the near-end developing point to be connected to the far-end developing point; the inner core wire can move relative to the thin tube in the length direction of the thin tube. Due to the fact that the releasing state and the releasing size of the expansion body can be controlled, the expansion body can be better matched with the shape and the size of the aneurysm, the expansion body can be better attached to the aneurysm, redundant operation in the operation process is reduced, operation time is saved, operation safety is guaranteed, and operation is convenient.

A novel shape memory polymer (SMP)-based device for surgical treatment of an intracorporeal defect (e.g., a void or anomaly) such as an intracranial aneurysm or fistula. In at least one non-limiting embodiment, the SMP device is a 3D-printed SMP material sized to specifically fit and thus occlude an intracranial aneurysm (ICA). The SMP device may be delivered to the intracorporeal defect via a catheter having a heating mechanism wherein the SMP device is raised above its glass transition temperature as it is deployed, causing the SMP device to return to its permanent shape after it is deployed into the intracorporeal defect. SMP device delivery systems that include the SMP devices, as well as methods of making and using the devices and systems, are also disclosed.

The utility model discloses a model teaching aid for simulating intracranial aneurysm, which comprises a Willis ring, a traffic artery body, two side cerebral anterior artery initial segments, two side internal carotid artery tail segments, two side posterior traffic artery bodies and two side cerebral posterior artery initial segments, a subarachnoid cavity is arranged on the outer side of a brain tissue body, and the subarachnoid cavity is communicated with the subarachnoid cavity. A brain shell is arranged on the outer side of the subarachnoid cavity, a second demonstration lamp bead is arranged at the subarachnoid cavity, a set of arc supports are arranged at the Willis ring, each arc support is provided with a set of third demonstration lamp beads, a pair of outlet supports are arranged on the outermost arc support, and a pair of third demonstration lamp beads are arranged on the outlet supports. The outer ends of the two outlet supports and between the two outlet supports are connected with a group of connecting supports which are guided to the lower cavity of the arachnoid, and the two outlet supports and the connecting supports are respectively provided with a group of fourth demonstration lamp beads. The device can provide a detailed simulation process from intracranial aneurysm formation to rupture to subarachnoid hemorrhage, and is worthy of popularization and application.

The invention relates to an intracranial aneurysm in-vitro amplification model blood circulation experiment system and method, and the system comprises an intracranial aneurysm in-vitro amplification model, a peristaltic pump, a liquid storage tank, a flow detection part and a pressure detection part, one end of the pump pipe is connected with an outlet of the liquid storage tank, the other end of the pump pipe is connected with an inlet of the intracranial aneurysm in-vitro amplification model, and an outlet of the intracranial aneurysm in-vitro amplification model is connected with an inlet of the liquid storage tank to form an extracorporeal circulation path. The experimental method comprises the steps of model and boundary condition zooming, blood flow simulation system construction, in-vitro patient specificity model and circulation path establishment, real-time monitoring and data acquisition. On the premise of meeting a flow similarity criterion, amplification construction of a patient specific aneurysm model, accurate simulation of physiological pulsating blood flow and systematic monitoring of key hemodynamic parameters can be realized; therefore, an in-vitro experiment platform which is more reliable and closer to the physiological state is provided for hemodynamic research of intracranial aneurysm.

The application relates to a method for generating an intracranial aneurysm blood vessel model and a computer readable storage medium, the method comprising: acquiring a three-dimensional medical image containing an intracranial aneurysm; segmenting the three-dimensional medical image to obtain a first level set based on an intracranial artery vessel surface; screening an interested region containing an intracranial aneurysm from an intracranial aneurysm blood vessel model generated based on the first level set; extracting a center line and a radius along the line for the interested region, the extraction of the center line comprising extraction of an intracranial artery center line and extraction of an intracranial aneurysm center line; generating an initial pipe model according to each center line, and then obtaining a second level set based on a surface of the initial pipe model, and generating an intracranial aneurysm blood vessel model after segmentation. The application optimizes the cumbersome preprocessing operation in the traditional method, improves the generation speed of the model on the basis of ensuring the accuracy of the model.

The invention discloses an intracranial aneurysm automatic segmentation method and system, and the method comprises the steps: constructing a cerebral vessel segmentation pre-training network, obtaining the weight of a pre-training model, and constructing an intracranial aneurysm segmentation network; the aneurysm segmentation network is composed of a double-branch artery-aneurysm encoder and an aneurysm decoder, a grouping self-adaptive inquiry attention mechanism is constructed, aneurysm feature expression is enhanced by using artery features of the encoder, and interference of an artery structure on aneurysm segmentation is reduced; a depth separable cavity convolution module is constructed in a depth supervision framework of an aneurysm decoder, and multi-scale features are captured through three parallel depth separable cavity convolution branches. Modeling is carried out on the context relationship between the intracranial artery structure and the aneurysm, pre-trained blood vessel features are migrated to guide aneurysm segmentation, instability possibly caused by dependence on pre-segmentation of the artery structure is reduced, and accurate segmentation of aneurysms of various sizes is achieved.

The present application relates to a method, computer device, readable storage medium and program product for obtaining the segmented position of an intracranial aneurysm in a blood vessel, comprising: obtaining the three-dimensional position coordinates of the aneurysm; obtaining a segmented intracranial arterial tree; combining the three-dimensional position coordinates of the aneurysm and the segmented intracranial arterial tree to obtain a three-dimensional intracranial vascular model including the intracranial arterial tree and aneurysm position information; establishing a standard intracranial vascular model and performing segmented annotation; spatially registering the three-dimensional intracranial vascular model with the standard intracranial vascular model to obtain a registered three-dimensional intracranial vascular model; on the registered three-dimensional intracranial vascular model, selecting pixel points on the aneurysm whose distance from the intracranial arterial tree is within a preset threshold range, obtaining mapping points corresponding to the pixel points on the standard intracranial vascular model, and obtaining the segmented position of the aneurysm on the intracranial arterial tree based on the positions of the mapping points.

The application belongs to the field of biological medicine and medical imaging technology, and relates to a rapid full-automatic intracranial aneurysm auxiliary detection post-processing system and method. The system comprises an image preprocessing module, an image adaptive threshold classification module, an automatic blood vessel seed point searching module, a blood vessel segmentation module, a blood vessel center line extraction, segmentation and classification module, an aneurysm enhancement module, an aneurysm screening module and an aneurysm display module. The application can be used for full-automatic detection of three common medical image data (MRI, CT and 3D-DSA) intracranial aneurysms, and has high processing speed.

The invention belongs to the technical field of clinical image processing, and particularly relates to an intracranial aneurysm multi-center clinical image data standardized labeling and sharing platform which comprises a multi-center operation end and a sharing platform management end, the multi-center operation end receives and preprocesses data, labeling is carried out in an artificial dominant and AI auxiliary mode, and the sharing platform management end is connected with the multi-center operation end. The model is optimized based on local manual correction data increment; and the sharing platform management end synchronously and uniformly marks specifications, generates a standardized data set through automatic checking and expert rechecking, and performs grading sharing according to roles. According to the method, data cross-center unified multiplexing is realized, the labeling efficiency is improved, sharing and privacy security are balanced, and multi-center research and clinical diagnosis and treatment are assisted.

The present application relates to the medical technical field, specifically to the intracranial aneurysm rupture risk assessment and management system based on the internet hospital, including: patient end module, the patient passes through uploading the medical history data through the system standardization questionnaire and multi-modal data acquisition mechanism to the automatic filing and label processing of basic health data, the present application realizes the consistency and comparability of health data through vectorization coding and standardization processing; the blind deconvolution technology is used to improve the brain blood vessel image definition, and the risk assessment is optimized in combination with the image and clinical characteristics; the privacy is protected through the adaptive watermark technology, the data safety and compliance are ensured in combination with the double encryption and de-identification processing; the system identifies the risk and pushes the personalized health intervention in time through the dynamic monitoring and intelligent early warning, improves the accuracy and initiative of chronic disease management. In addition, the block chain technology ensures the data traceability and anti-tampering, enhances the doctor-patient trust.

The application relates to the technical field of medical image processing, and discloses an intracranial aneurysm recognition method and system based on a brain CT. The method obtains a brain CT image sequence, adopts an anisotropic diffusion filtering algorithm for pretreatment to suppress noise and retain blood vessel edge details. Subsequently, a region growing algorithm is used to segment an intracranial blood vessel region, and a skeletonization algorithm is used to extract a blood vessel center line to calculate curvature and diameter changes. Finally, based on curvature anomaly and diameter ratio analysis, combined with a multi-scale sliding window and a blood vessel topological structure verification, automatic recognition of intracranial aneurysms is realized, and the accuracy and reliability of diagnosis are improved.

The invention relates to the technical field of aneurysm treatment equipment, in particular to an intracranial aneurysm plugging device and a use method thereof. The plugging device comprises a support rod body, the support rod body is of a cylindrical structure, and at least one of the two ends of the support rod body is of a flaring structure; the local film covering part is located in the middle area of the stent rod body, and a covering film is arranged on the portion, where the local film covering part is located, of the stent rod body. In the plugging device, the local film covering part is only arranged in the middle area of the stent rod body, so that the local film covering part can accurately plug the aneurysm, hemodynamics can be changed, the aneurysm and blood circulation can be isolated to prevent rupture, and the space occupying effect caused by filling materials in the aneurysm sac can be thoroughly avoided; and the risk of pressing surrounding brain tissues is avoided.

This invention relates to the field of image processing technology, specifically to an automated intracranial aneurysm detection system based on CT images. The system includes: analyzing all local regions of each vascular segment based on vascular CT images to obtain the probability of local vascular abnormalities; identifying potential abnormal bulging regions based on these probabilities; further obtaining candidate regions for the vascular segment and candidate regions for bifurcation points; obtaining a first aneurysm probability based on the degree of protrusion and perpendicularity of the growth direction of the candidate regions, and distinguishing between physiological curvature and aneurysm regions based on the first aneurysm probability; calculating a second aneurysm probability based on the positional difference value and sphericity matching degree of the candidate regions for bifurcation points, and distinguishing between natural bulges at bifurcation points and aneurysm regions based on the second aneurysm probability. By analyzing different morphologies and structures of intracranial vessels, the system distinguishes between normal vascular structures and aneurysm regions, thereby achieving accurate identification of intracranial aneurysms.

The invention discloses an aneurysm wall enhanced local quantitative analysis method and system based on ray projection, and the method comprises the steps: collecting an MRI sequence of a patient, calculating the contrast corresponding to each voxel, and determining an optimal contrast threshold; constructing a preliminary aneurysm sac model and a preliminary enhanced area model, establishing a spatial position corresponding relation between the two models, and performing spatial alignment; calculating the local geometric wall thickness G corresponding to each triangular patch; determining each sampling point and acquiring the contrast ratio of each sampling point; calculating the reinforcement wall thickness E and the average reinforcement strength M corresponding to each surface patch; and integrating the enhanced wall thickness E and the average enhanced strength M corresponding to each patch into a patch-level data set, mapping the patch-level data set into color attributes of the surface of the three-dimensional model, and obtaining and outputting a three-dimensional color heat map. According to the method, local quantification of enhanced wall thickness and strength is realized by establishing a surface patch level analysis framework, and the core technical problem of enhanced quantitative analysis of the intracranial aneurysm wall is solved.

The application provides an intracranial aneurysm occlusion device, belonging to the technical field of interventional medical instruments; the intracranial aneurysm occlusion device comprises an intratumor part, an extratumor occlusion part, a connecting part, a delivery guide wire and a delivery catheter; the intratumor part and the extratumor occlusion part both have a contracted state and an expanded state; the intratumor part is arranged in the inner cavity of the aneurysm; the extratumor occlusion part is used for pressing the outer side wall of the aneurysm entrance; the connecting part is arranged between the intratumor part and the extratumor occlusion part and is used for connecting the intratumor part and the extratumor occlusion part; the extratumor occlusion part can move on the connecting part to adjust the distance from the intratumor part; the distal end of the delivery guide wire is detachably fixedly connected with the proximal end of the connecting part; the delivery catheter is used for containing the intratumor part and the extratumor occlusion part in the compressed state; and the technical problem that the existing intracranial aneurysm treatment device cannot effectively prevent blood flow from further flowing into the aneurysm and cause damage to the aneurysm is solved.

The application relates to an intracranial aneurysm microfluidic blood vessel chip, system, preparation method and application, and belongs to the medical technical field.The intracranial aneurysm microfluidic blood vessel chip comprises a Y-shaped microfluidic channel, a negative pressure suction cavity and an elastic film, the negative pressure suction cavity is used for being connected with a negative pressure suction device to vacuumize the negative pressure suction cavity, the Y-shaped microfluidic channel meets at a crossing, the crossing is provided with an opening, the elastic film is arranged at the opening and separates the negative pressure suction cavity from the Y-shaped microfluidic channel, the elastic film is a treated polyisoprene film, and the treatment comprises plasma treatment; when the negative pressure suction cavity generates negative pressure, the elastic film can bulge towards the negative pressure suction cavity, and has different bulging degrees under different sizes of negative pressure. The application has good biocompatibility, can simulate the continuous change of a tumor, and has consistency with the intracranial aneurysm in the body in terms of hemodynamic characteristics.

Aspects of the present invention relate to a method for assessing cerebral aneurysms comprising the steps of collecting imaging and blood flow data of an aneurysm and the attached arteries in a subject, creating a 3D model of the aneurysm and the attached arteries from the imaging data, generating blood flow simulations with the 3D model and the blood flow data, extracting one or more parameters from the simulations, processing the one or more parameters to generate one or more stress indices, calculating a risk assessment score for the subject based on a statistical analysis of the one or more parameters and the one or more stress indices.

The embodiments of this specification disclose a method, device and apparatus for detecting intracranial aneurysms based on nuclear magnetic resonance imaging. The method comprises: obtaining image data to be processed, wherein the image data to be processed is nuclear magnetic resonance imaging data containing intracranial aneurysms; using sliding window processing to extract the first image block of the image data to be processed; inputting the first image block of the image data to be processed into a pre-trained blood vessel segmentation model to obtain a blood vessel segmentation mask image; using the blood vessel segmentation mask image as sampling position reference data, inputting the second image block of the image data to be processed into a pre-trained aneurysm segmentation model to predict the probability of an aneurysm, and obtaining an aneurysm prediction result corresponding to the second image block, and cascading the blood vessel segmentation model with the aneurysm segmentation model; performing connected domain analysis on the aneurysm prediction result corresponding to the second image block to obtain an aneurysm segmentation result.

The application discloses an information processing method and device for intracranial aneurysm hemodynamics prediction, equipment and medium, relates to the field of artificial intelligence technology, and includes the following steps: receiving a three-dimensional medical image containing an intracranial aneurysm, and inputting the three-dimensional medical image into a target hemodynamics prediction model to capture comprehensive morphological features of the intracranial aneurysm from the three-dimensional medical image; inputting blood flow boundary conditions into the target hemodynamics prediction model, performing low-dimensional mapping on the blood flow boundary conditions, and obtaining a first low-dimensional feature vector; receiving spatial point coordinates and directional distances corresponding to each sampling point in a CFD model formed by the intracranial aneurysm region, performing low-dimensional mapping on the spatial point coordinates and the directional distances, and obtaining a second low-dimensional feature vector; and performing feature fusion on the comprehensive morphological features, the first low-dimensional feature vector and the second low-dimensional feature vector through a feature fusion module to predict hemodynamics parameters. The application realizes end-to-end hemodynamics parameter prediction.

The present application relates to a method, apparatus, computer equipment and storage medium for identifying and detecting intracranial aneurysms, the method comprising: obtaining positive and negative sample image blocks of the original intracranial image, the positive and negative sample image blocks being three-dimensional image blocks; processing the positive and negative sample image blocks using a three-dimensional semantic segmentation model, and outputting corresponding detection results, the three-dimensional semantic segmentation model being based on a convolutional neural network and constructed through a Transformer module, an encoder and a decoder, the processing process of the three-dimensional semantic segmentation model being divided into multiple stages according to the specifications of the positive and negative sample image blocks, the encoder and decoder being coupled and connected in the same stage through a first type of path, the first type of path being multiple paths corresponding to a single-dimensional vector of the three-dimensional image block. The present application can better perform feature extraction on the positive and negative sample image blocks, improve the detection rate of microaneurysms, maintain the coherence between the original intracranial images, and improve the continuity between layers.

The application provides an application of a peripheral blood biomarker combination in construction of a prediction model for intracranial aneurysm rupture, solves the problems of the existing intracranial unruptured aneurysm prediction method and the lack of related early warning biomarkers in the prediction model, and the technical scheme is as follows: an application of a biomarker combination in construction of a prediction model for intracranial aneurysm rupture, the biomarker combination is factor: GPC1, ECM2 and PLEC, a prediction model for predicting intracranial aneurysm rupture is constructed based on the biomarker, and the application and application method in detection reagents and kits have the advantages and positive effects that the rupture of an aneurysm is predicted early, the pain of a patient is reduced, and a reference basis is provided for individualized diagnosis and treatment; the prediction model constructed by the biomarkers has the characteristics of high sensitivity and good specificity, and is significantly better than the PHASES scoring method and the unruptured intracranial aneurysm treatment scoring method.

The present invention discloses a method, device, equipment and storage medium for intracranial aneurysm rupture risk assessment. First, based on the maximum intensity projection and centerline extraction processing of a two-dimensional angiographic image sequence, and combined with the analysis of the contrast agent concentration change curve, a time series image containing flow field information is generated; then, three-dimensional reconstruction, region of interest extraction and opening extension processing are performed on the three-dimensional image sequence to obtain detailed morphological parameters and a region of interest model after extension processing; then, the time series image with flow field information is overlapped and displayed with the region of interest model without extended opening, and by calculating the flow field vector sum in the observation sphere to determine the actual blood flow direction, the setting of boundary conditions is further optimized and fluid dynamics simulation is carried out to calculate the key hemodynamic parameters; finally, combining the morphological parameters, hemodynamic parameters and the patient's clinical information, the assessment result of the aneurysm rupture risk is obtained.

The invention discloses a device for segmenting an intracranial aneurysm from 3D-MRA based on hierarchical clustering transformer, and the device comprises the steps: receiving a structure MRI image of a brain and a corresponding 3D-MRA image, carrying out the spatial alignment, and carrying out the 3D block sampling, thereby obtaining an MRI-3D block and an MRA-3D block; the intracranial aneurysm segmentation is carried out based on an MRI-3D block and an MRA-3D block by adopting a segmentation model, and the method comprises the following steps: carrying out feature extraction on the input MRI-3D block based on a first transformer encoder to obtain a structural feature, and carrying out hierarchical feature extraction and stage clustering on the MRA-3D block based on a hierarchical clustering second transformer encoder to obtain two types of contrast features, and fusing the structural features and the two types of contrast features and then predicting an aneurysm segmentation result, so that accurate segmentation of the intracranial aneurysm can be realized.