27 results about "Liver parenchyma" patented technology

The invention provides an intraoperative real-time navigation system based on digital twinning, and relates to the technical field of digital twinning, and the system comprises a data collection module which is used for obtaining the three-dimensional form data of a liver and a biliary tract through an intraoperative ultrasonic imaging device, and collecting the elastic modulus distribution parameters of liver parenchyma and a bile duct wall; the construction registration module is used for constructing a real-time digital twin in the liver and gall area based on the three-dimensional form data and the elastic modulus distribution parameters, and carrying out multi-mode non-rigid registration on the digital twin and the liver surface topography and the vascular structure which are subjected to optical coherence tomography in the operation; therefore, a dynamic space mapping relation between the organ structure and the image data is established. According to the method, real-time navigation in the operation is realized through digital twinning, the obstacle avoidance path is updated, and the safety and efficiency in the operation are improved.

The application discloses a kind of intraoperative real-time navigation and force feedback system based on single-hole laparoscope, it is related to intelligent surgical navigation technical field, to solve the current in single-hole laparoscopic liver cancer resection, when liver parenchyma is disconnected, it is easy to damage intrahepatic vessel and cause active bleeding or diffuse bleeding, and the existing hemostasis method is difficult to consider effective hemostasis and avoid damage key structure, leading to the technical problem of high surgical risk, including multimodal perception module, intelligent processing and control module, augmented reality navigation module, and adaptive force feedback execution module.The application realizes the accurate distinction of diffuse bleeding of liver parenchyma and active bleeding of intrahepatic blood vessel by designing bleeding type adaptive determination algorithm based on multi-feature coupling, calculates the multi-dimensional characteristics such as hemoglobin concentration change rate, flow rate and uniformity by optical analysis of fluid perception unit in real time, and carries out intelligent identification by using adaptive determination algorithm trained by clinical data.

The application provides an intelligent grading method and system for diffuse liver lesions in ultrasound images, and belongs to the technical field of medical image processing.The method comprises the following steps: multi-dimensional quality evaluation and grading and shunt control of the ultrasound image; liver parenchyma segmentation and positioning of the region of interest; multi-scale parallel texture feature extraction and cross-scale attention fusion; quantitative ultrasound feature calculation and multi-source integration; synchronous output of fatty liver grading and liver fibrosis staging results by a double-task collaborative grading network, training loss containing ordinal consistency constraint to ensure medical rationality; and lesion heat map visualization and longitudinal monitoring trend analysis.The application realizes collaborative grading by utilizing the histological correlation of two lesions, and improves the diagnostic accuracy and objectivity.

This invention discloses a liver image recognition system and method based on graph neural networks, belonging to the field of medical image processing and intelligent recognition technology. It includes a liver image receiving module for receiving liver image data and performing slice processing, grayscale standardization, and spatial location information association processing on the liver image data to generate standardized liver image data. In this invention, by performing slice processing, grayscale standardization, and spatial location information association processing on the liver image data, a unified correspondence is formed between multiple liver image slices in three dimensions: slice number, grayscale expression, and spatial location. Results of liver parenchyma regions, candidate abnormal regions, and boundary transition regions are extracted. The adjacency relationships, grayscale variation relationships, and boundary continuity relationships of adjacent regions within the same slice are uniformly organized, thereby improving the data orderliness, regional discrimination ability, and completeness of the expression of relationships within a single slice of multi-slice liver images.

The present application relates to cell preparation process in the field of bioengineering, disclose a kind of high-efficiency preparation mouse primary hepatocyte method, comprising: perfusion needle is placed in reverse direction to liver direction through inferior vena cava, utilize the blood vessel clamp with elastic micro-tooth damping surface to lock the perfusion needle and inferior vena cava wall;The overflow damping of hepatic portal vein outflow end is dynamically regulated by blood vessel clamp, to construct controlled positive pressure permeation environment in liver vascular bed;Collagenase solution is radially permeated to liver parenchyma using the environment, the present application makes enzyme solution radial deflection and cross blood sinus barrier into di's cavity by constructing micro-pressure environment, eliminate the digestion dead zone originally due to flow path preference, ensure that enzyme molecule and extracellular matrix are uniformly contacted in global dimension, realize the collaborative promotion of tissue cutting efficiency and total amount of cell release, ensure that the output cell population has highly consistent physiological state.

This invention discloses a method for preparing a co-loaded dual-gene targeted delivery system and its application, involving the construction and preparation of a dual-gene (pHNF4α, pFOXA3) delivery system. This delivery system can target myofibroblasts (MFs) and activated hepatic stellate cells (aHSCs) and can be used for gene therapy of liver fibrosis. This invention synthesizes the targeting carrier material PEI. 25K -PEG 2K -pPB, through electrostatic adsorption, combines with pHNF4α and pFOXA3 to form a co-loaded dual-gene targeted delivery system, F4α / A3@PP-pPB. This delivery system, through the targeting group pPB, binds to MFs (metacellular matrix cells) that lead to excessive accumulation of extracellular matrix in fibrotic livers and to PDGFR (polydimethylformamide) highly expressed on the surface of aHSCs. On the one hand, it inhibits the activation of aHSCs; on the other hand, it transdifferentiates MFs into hepatocyte-like cells (iHep). These two modes, while combating liver fibrosis, can also achieve a certain degree of liver function reconstruction through transdifferentiated iHep cells, providing new ideas and methods for the effective treatment of liver fibrosis.

This application discloses a method, apparatus, device, and medium for automatic liver scanning path planning. The method includes acquiring human body point cloud data, reconstructing the human body surface based on the point cloud data, determining the position information of the liver probe based on image data of the rib positions, and estimating the probe posture based on the position information and the human body surface to form a planned path for automatic liver scanning. This application first uses position planning to make the scanning path more reasonable, enabling the detection of not only liver parenchyma but also intrahepatic vascular diseases. Then, it uses pose planning to allow for a smaller angle when the probe adheres to the skin, improving ultrasound image quality.

The invention discloses a hepatic artery radiofrequency ablation method and ablation catheter. The ablation method comprises the steps that a target puncture point is positioned, and a radial artery puncture channel and an interventional ablation environment are established; guiding an ablation catheter to enter a target treatment point corresponding to the target artery branch; adjusting the end shape of the ablation section tube; the ablation catheter comprises an ablation section, a conveying section, a connecting section and a signal section. The catheter is inserted through a vascular intracavity path, penetrates into the hepatic artery or a near-end branch of the hepatic artery, targets autonomic nerves around the hepatic artery to carry out temperature control type radiofrequency ablation, and has the advantages of accurate positioning, safe control, uniformity of energy release and tissue adaptability; by adjusting the fitting posture of the spiral structure of the ablation section and adapting to the characteristic parameters such as the curvature direction, the tortuosity and the opening angle of the hepatic artery, it is ensured that the metal electrode can be effectively fitted with the tube wall to transmit radio frequency energy, meanwhile, the punching rate is reduced, liver parenchyma puncture injury is avoided, and meanwhile systemic intervention such as blood pressure regulation and metabolic function regulation is achieved.

This invention relates to a method, system, and storage medium for processing liver imaging data based on Gd-EOB-DTPA enhanced MRI. By acquiring multi-phase Gd-EOB-DTPA enhanced MRI image data and clinical laboratory data, the method standardizes and extracts regions of interest from the liver parenchyma and reference tissues, calculates and selects the optimal combination of MRI image parameters, and fuses these image parameters with blood biochemical indicators to construct a multimodal feature set. A model library is built using linear support vector machines, weighted K-nearest neighbors, and efficient logistic regression. Model training, validation, and testing are completed through stratified sampling and cross-validation to obtain a stable and reliable liver function grading assessment model, ultimately achieving intelligent, non-invasive, and quantitative assessment of ALBI grading. Compared with existing technologies, this invention has advantages such as being non-invasive, precise, standardized, interpretable, and easily clinically translated.

The application discloses a method for motion interaction of liver parenchyma and intrahepatic blood vessels and blood in a virtual surgery scene, mainly comprising: generation of a visual liver body model and an intrahepatic blood vessel body model; generation of a liver parenchyma body model; generation of a dense mesh of the intrahepatic blood vessel body model by means of a gmsh software, and generation of an intra-blood vessel blood model composed of a blood flow particle set; establishment of a liver parenchyma motion model based on PBD, and motion trends of the liver parenchyma and the intrahepatic blood vessels under the action of an external force, which are used to represent the motion of the liver parenchyma under the action of the external force, and the motion of the blood vessels and the blood particles caused by the deformation of the liver parenchyma, and simultaneously contain the flow of the blood particles under the condition of cutting; and realization of the motion constraints between the intrahepatic blood vessels and the liver parenchyma, and the motion constraint conditions of the blood flow in the blood vessels under the action of the external force in the virtual surgery scene. The method fully considers the motion characteristics of the liver and the blood vessels under the action of the force.

This invention provides a method, system, and device for constructing a 3D-printed liver model based on image data, comprising: acquiring CT and MRI image data of an individual patient; performing multimodal image segmentation on the CT and MRI image data to obtain structural segmentation images; fusing the structural segmentation images to obtain a liver and tumor anatomical structure model; performing three-dimensional reconstruction on the liver and tumor anatomical structure model to obtain a target three-dimensional visualization model; and 3D printing the target three-dimensional visualization model. This application integrates CT and MRI imaging modalities to obtain more comprehensive and accurate liver anatomical information. CT provides clear images of the liver parenchyma and blood vessels, while MRI provides more sensitive soft tissue contrast and tumor detection. The combination of the two can compensate for the shortcomings of a single imaging technology, improving the realism and information content of the model.

The invention discloses an HBV infected mouse model and a construction method and application thereof, and the construction method comprises the following steps: step 1, taking a healthy female HBV-Tg mouse with a positive HBV marker as a liver donor, taking out the liver through an operation, and cutting the liver into small blocks; step 2, taking a healthy female NPG mouse with severe combined immunodeficiency as a receptor animal, pulling the maximum leaf of the liver to the outside of the abdominal cavity through an operation, placing a liver tissue block of the HBV-Tg mouse on the exposed liver parenchyma surface of the NPG mouse, performing auxiliary fixation, then returning the liver back to the abdominal cavity, and then suturing; 3, the copy number of HBV DNA in NPG mouse serum is measured, and if the two continuous detection values are remarkably higher than the background value and the index can be continuously maintained at a certain level in the subsequent observation period, the HBV infected mouse model is successfully constructed. According to the invention, the process from donor sampling to receptor transplantation can be completed within several hours, and the model can be verified through serological detection 1-2 weeks after operation, so that the modeling period is greatly shortened.

The application discloses a kind of cross-region MASH identification systems based on multi-frame ultrasonic image, it is related to image classification technical field, including: data acquisition module, for obtaining liver ultrasonic image and IQ envelope original data;Region identification module is used to extract maximum connected domain according to liver parenchyma mask chart, and determines the ROI region of each frame IQ envelope original data according to the maximum connected domain;Matrix generation module is used to divide grid to ROI region, calculate the shape parameter m of each grid corresponding Nakagami distribution, generate fat content distribution matrix;Fat weight generation module is used to input level weighting to each frame IQ envelope original data of ROI region using fat content distribution matrix, generate each frame weighted IQ signal;Classification identification module is used to extract features of multiple frames weighted IQ signal, input sequence modeling in Transform module, and carry out multi-classification identification based on sequence, obtain image recognition result.The application improves the capture ability of scattered lesions.

The invention relates to the technical field of Mongolian medicines, discloses a Mongolian medicine composition for treating a liver-heat-type liver disease, and aims to solve the problems that when an existing Mongolian medicine scheme is used for treating complex diseases with liver parenchyma injury and liver and gall dysfunction, the synergism of liver heat clearing and liver and gall dysfunction is insufficient, and overall intervention is difficult. The Mongolian medicine composition is prepared from twenty-one medicinal materials including bunge corydalis herb, coptis chinensis, fructus gardeniae, bistort rhizome, bear gall powder, fructus choerospondiatis, radix aucklandiae, flos caryophyllata, amomum tsao-ko, myristica fragrans and the like. The traditional Chinese medicine composition is prepared by adopting a staged extraction process, comprehensively plays the effects of protecting the liver, lowering transaminase, benefiting the gallbladder, relieving jaundice and improving the gastrointestinal function, and shows better comprehensive treatment effect and safety on drug-induced, alcoholic and non-alcoholic fatty liver injuries.

The application discloses a kind of multi-frame image fatty liver content detection method and system based on motion inhibition, belong to medical image processing technical field, which comprises: selecting region of interest in patient liver region and setting processing time;Under B mode ultrasonic scanning, liver image is acquired in real time;Liver parenchyma probability weight distribution map is generated to each frame image;Interframe motion estimation is carried out, and the image frame with motion amplitude in preset threshold is screened out;Nonlinear parameter scanning is carried out, and corresponding nonlinear parameter matrix is obtained;Each element in each nonlinear parameter matrix is converted into liver fat content value, and corresponding liver fat content score matrix is obtained;Kalman filtering algorithm is applied to multiple liver fat content score matrixes to carry out fusion filtering processing, and finally liver fat content quantitative value is obtained.The method can realize non-invasive, accurate and quantitative liver fat content detection;It can be integrated into ultrasonic diagnostic equipment and is suitable for hospitals, medical centers and other scenes.

The invention relates to the technical field of medical ultrasound, and discloses a method and device for measuring an ultrasonic liver and kidney index and ultrasonic equipment, and the method comprises the steps: obtaining an ultrasonic image corresponding to an ultrasonic echo signal of a liver and kidney part of a target object; segmenting the ultrasonic image to obtain a first segmentation mask of a liver parenchyma area and a second segmentation mask of a renal cortex area; post-processing the ultrasonic image, the first segmentation mask and the second segmentation mask to obtain a first target region of interest in liver parenchyma and a second target region of interest in renal cortex; and calculating the liver and kidney index according to the first target region of interest and the second target region of interest. The first segmentation mask of the liver parenchyma area and the second segmentation mask of the renal cortex area are obtained by segmenting the ultrasonic image, complete liver organ and kidney organ areas do not need to be segmented, errors possibly introduced when the whole organ is analyzed are avoided, and the measurement precision of the liver and kidney indexes is improved.

This invention relates to the field of medical image processing and discloses a method and application for high-risk / low-risk classification of MVI-positive hepatocellular carcinoma. The method includes: acquiring and registering three-dimensional enhanced CT image sequences to generate a tumor target area and a background liver parenchyma mask; calculating the temporal gradient to construct a two-dimensional temporal perfusion vector and extracting a subset of target blood supply for screening; determining a baseline vector based on the background liver parenchyma, projecting the screened vector to obtain orthogonal components and generating an intensity scalar field; combining the tumor boundary normal vector field with the spatial gradient for weighted summation to generate a target feature field; extracting image features from the target feature field and concatenating clinical variables, inputting the data into a classifier model to output high-risk / low-risk classification results. By screening active blood supply areas to eliminate interference from necrotic tissue, using baseline vector projection to eliminate measurement bias caused by individual circulatory differences, and combining spatial gradients to quantify the diffusion direction of abnormal blood supply, the accuracy of the model's high-risk / low-risk classification prediction is improved.

The invention discloses a general lightweight hepatic parenchyma segmentation algorithm based on generalization precision, and aims to solve the problems of large model parameter quantity and limited FP16 low-precision computing power in clinical mobile terminal deployment. According to the algorithm, a lightweight model based on density weighted fusion is constructed, local hidden representation is extracted through a local perception aggregation module in a semantic generation structure, and global representation of liver parenchyma information is realized in combination with a global density information diffusion module; and the extracted features are subjected to up-sampling and merging processing, and accurate segmentation of the CT image is realized under the conditions of low parameter quantity and low power consumption. Besides, FP16 mixed precision training is carried out on a Moore thread S4000 display card, the model successfully adapts to the computing power requirement of a mobile terminal, and in combination with a data set expansion and migration technology, excellent generalization ability and segmentation effects are shown on private and multiple public data sets.

The invention discloses a novel ALPPS mouse model as well as a construction method and application thereof. The construction method of the novel ALPPS mouse model comprises the following steps: anesthetizing and opening the abdomen of a tested mouse to expose the upper abdomen; sequentially ligating a portal vein supplying CL, a portal vein of RL and a common trunk portal vein of LML and LLL; ligation of the liver pedicel of LLL is carried out, and LLL is completely cut off; the liver parenchyma between the RML and the LML is separated; suturing and closing the abdomen layer by layer after fully stopping bleeding. According to the novel ALPPS mouse model, the right middle leaf of the liver is reserved, and the right middle leaf of the liver accounts for 20% of the whole liver, so that the occurrence rate of postoperative hepatic failure and mouse death can be reduced. According to the model, only three common portal vein branches of the caudate lobe, the right lobe, the left lateral lobe and the left middle lobe need to be ligated in sequence, and operation steps are simplified. The novel ALPPS mouse model constructed by using the method is obvious in liver proliferation effect, and the survival rate of postoperative mice is high.

The invention provides an automatic liver segmentation modeling method and system based on a hybrid neural network, and relates to the technical field of medical imagines.The method comprises the steps that a collected original liver image is preprocessed, and a three-dimensional liver image is obtained; wherein the three-dimensional liver image comprises liver parenchyma, portal vein and liver vein; inputting the three-dimensional liver image into a trained segmentation model to obtain a liver parenchyma mask, a portal vein mask and a liver vein mask; based on the liver parenchyma mask, the portal vein mask and the liver vein mask, dividing the liver parenchyma into a plurality of drainage basin partitions; determining a standard liver segment corresponding to each drainage basin partition based on a preset liver segment division rule; and based on the standard liver segment corresponding to the drainage basin subarea, performing elastic deformation on the drainage basin subarea to obtain a deformed drainage basin subarea. According to the invention, individual vascular variation characteristics of patients can be reflected.

The invention discloses a cross-regional MASH recognition system based on a multi-frame ultrasonic image, and relates to the technical field of image classification, and the system comprises a data collection module which is used for obtaining a liver ultrasonic image and IQ envelope original data; the region identification module is used for extracting a maximum connected domain according to the liver parenchyma mask pattern and determining an ROI region of each frame of IQ envelope original data according to the maximum connected domain; the matrix generation module is used for dividing grids for the ROI region, calculating a shape parameter m of Nakagami distribution corresponding to each grid, and generating a fat content distribution matrix; the fat weight generation module is used for performing input-level weighting on each frame of IQ envelope original data of the ROI region by using the fat content distribution matrix to generate each frame of weighted IQ signal; and the classification and recognition module is used for inputting the extracted features of the multi-frame weighted IQ signals into the Transform module for sequence modeling, and performing multi-classification recognition based on the sequence to obtain an image recognition result. According to the invention, the capability of capturing dispersed lesions is improved.

This invention provides an engineered platelet and its application in the preparation of anti-injury drugs for liver transplantation. This engineered platelet utilizes the natural liver tropism of platelets; upon reaching the site of liver injury, PLT-aCCL2 is specifically activated under local microenvironment stimulation, releasing loaded small-sized antibody fragments or active ingredients. This effectively penetrates deep into the liver parenchyma, overcoming the problem of poor tissue penetration of large-molecule protein drugs. Through this targeted delivery strategy, aCCL2 can efficiently and specifically block the physiological function of the chemokine CCL2, inhibiting the infiltration of peripheral monocytes into the liver, thereby blocking the initiation and amplification of the inflammatory cascade. Ultimately, this strategy significantly inhibits T-cell-mediated adaptive immune responses and acute rejection, effectively reducing graft injury and prolonging graft survival.

The present application relates to the field of health care information technology, and in particular to a primary liver cancer postoperative micro-metastasis detection method based on multispectral molecular imaging. A high-frequency echo proportion map is constructed by means of an undetected radio frequency signal, and a liver parenchyma region is segmented to exclude scar interference; a pulsation amplitude map is extracted by means of a multispectral photoacoustic time sequence image, and the phase is corrected in speed by means of the high-frequency echo proportion map to eliminate speed distortion caused by the scar; background subtraction is performed based on the average drift trend of the liver parenchyma region to generate a net signal enhancement map; a negative correlation linear model of the pulsation amplitude and the net signal is fitted in the liver parenchyma, and the residual is calculated to represent metabolic clearance abnormalities; the residual and the corrected phase map are weighted and fused to generate a supply and demand imbalance index, and accordingly, an abnormal region is adaptively identified. The method effectively decouples structural artifacts and abnormal regions, and significantly improves detection specificity and positioning accuracy.

This invention discloses a method for dynamically and non-invasively evaluating the effects of oral health supplements on the liver based on Micro-CT technology, comprising the following steps: S1, experimental grouping and treatment: experimental mice are divided into a blank group, a model group, and at least one sample group; S2, after injecting all experimental mice with the nanoparticle contrast agent ExiTron nano 6000, liver scans are performed using Micro-CT. After the scans are completed, the raw data are reconstructed into three-dimensional images, and the area under the curve of the standard deviation of liver parenchyma CT values ​​from 0 to 28 days is calculated using CTAn software; S3, definition and evaluation of liver damage. This invention utilizes Micro-CT imaging technology to evaluate the effects of oral health supplements on the liver of mice by dynamically monitoring changes in liver morphology and density, and is particularly suitable for safety assessment and biological effect analysis of health supplements at the liver level.

The invention discloses an in-vitro hepatotoxic drug screening method based on a high-throughput plug-in chip, and belongs to the technical field of plug-in chip drug toxicity screening. According to the method, a high-throughput plug-in chip is composed of a pore plate layer, a channel layer and a plug-in; every three holes form a chip unit, separation and material exchange between the pore plate layer and the channel layer are carried out through the porous membrane on the plug-in, and gravity flow is provided through the swing table; the chip hole pitch accords with the specification of a commercial pore plate, and is compatible with various analytical instruments. Through liver chip model construction, drug incubation testing and data processing analysis, efficient hepatotoxicity drug screening is realized. According to the invention, the human adult stem cell-derived liver organs are used for establishing the chip model, and the physiological correlation of the cells is strong; compared with a mouse model, human physiological liver parenchyma characteristics can be better simulated; the operation is simple and the consumed time is short. The method realizes high-efficiency and high-reproducibility drug screening, and plays a great role in the fields of basic research, transformation application and the like of preclinical tests of drugs.

This application provides an automated liver segmentation modeling method and system based on a hybrid neural network, relating to the field of medical imaging technology. The method includes: preprocessing acquired raw liver images to obtain a three-dimensional liver image; wherein the three-dimensional liver image includes liver parenchyma, portal vein, and hepatic vein; inputting the three-dimensional liver image into a trained segmentation model to obtain liver parenchyma masks, portal vein masks, and hepatic vein masks; dividing the liver parenchyma into multiple watershed partitions based on the liver parenchyma masks, portal vein masks, and hepatic vein masks; determining the standard liver segment corresponding to each watershed partition based on preset liver segmentation rules; and elastically deforming the watershed partitions based on the standard liver segments corresponding to the watershed partitions to obtain deformed watershed partitions. This application can reflect the individualized vascular variation characteristics of patients.

The invention discloses a multi-frame image fatty liver content detection method and system based on motion suppression, and belongs to the technical field of medical image processing.The method comprises the steps that an interested area is selected in a liver area of a patient, and processing time is set; under B-mode ultrasonic scanning, obtaining a liver image in real time; generating a liver parenchyma probability weight distribution diagram for each frame of image; inter-frame motion estimation is carried out, and image frames with motion amplitudes within a preset threshold value are screened out; performing nonlinear parameter scanning to obtain a corresponding nonlinear parameter matrix; converting each element in each nonlinear parameter matrix into a liver fat content value to obtain a corresponding liver fat content fraction matrix; and performing fusion filtering processing on the plurality of liver fat content fractional matrixes by applying a Kalman filtering algorithm to obtain a final liver fat content quantitative value. According to the method, noninvasive, accurate and quantitative liver fat content detection can be realized; the system can be integrated into ultrasonic diagnosis equipment and is suitable for hospitals, physical examination centers and other scenes.