25 results about "Liver surgery" patented technology

The invention relates to the technical field of liver surgery, and discloses a liver surgery planning system based on data fusion. The system comprises an image data fusion module, a three-dimensional model construction module, an operation path planning module, a risk assessment module and a scheme optimization module. The image data fusion module integrates CT and MRI images to generate a standardized image fusion model; a three-dimensional model building module generates a liver three-dimensional visual model according to the three-dimensional model; the operation path planning module plans an optimal resection path to form a preliminary operation path scheme; the risk assessment module assesses the surgical risk and generates a report; the scheme optimization module generates a final surgical planning scheme based on the report adjustment parameters. According to the system, through the multi-source data fusion and three-dimensional visualization technology, the liver structure and the tumor position are accurately presented, the operation path is scientifically planned, the operation risk is evaluated and avoided, the operation scheme is optimized, and accurate implementation of the liver operation is assisted.

The utility model discloses a headrest device for liver surgery. The headrest device comprises a first supporting plate, a second supporting plate and a neck pillow. The first supporting plate extends in the horizontal direction, and a first annular gasket is fixedly installed on the upper surface of a plate body of the first supporting plate. A non-slip mat is mounted on the lower surface of the plate body; the second supporting plate extends in the vertical direction, and the bottom of a plate body of the second supporting plate and one side of a plate body of the first supporting plate are connected into a whole. A second annular gasket is fixedly mounted on the surface of one side, facing the first supporting plate, of the plate body; the neck pillow is connected with the other side of the plate body of the first supporting plate, and the upper side face of a pillow body of the neck pillow is configured to be higher than the first annular gasket. The body and the head of a patient can be basically kept in the same longitudinal axis level in the shaking table process, and the operation effect is guaranteed.

The present invention relates to the field of surgical forceps, and specifically to an inferior vena cava root vascular dissection and separation forceps for liver surgery. The present invention comprises a forceps body and a tubular body, wherein a pull rod is provided within the tubular body; a first support seat is fixedly connected to the inner wall of the tubular body, a transmission gear disc is rotatably connected to the first support seat, a hollow telescopic rod is fixedly connected to the middle of the transmission gear disc, the other end of the telescopic rod is connected to the forceps body, and the pull rod is used to pass through the telescopic rod and drive the forceps body to clamp by pulling; a second support seat is fixedly connected to the inner wall of the tubular body, the middle section of the pull rod is a serrated flexible strip structure, and the second support seat is provided with a lock hole and a first lock tooth for one-way engagement with the serrated flexible strip structure; a ratchet bar is slidably connected to the inner wall of the tubular body, the pull rod is provided with a second lock tooth for one-way engagement with the ratchet bar, and a driving member is provided on the end of the ratchet bar near the transmission gear disc. The technical solution of the present invention can control the clamping of the forceps body by pulling out the pull rod, and control the rotation of the forceps body by withdrawing the pull rod, thereby optimizing hand operation and improving control performance.

The application discloses a liver surgery precise navigation method and system based on a Transformer and a multi-modal point cloud registration, and solves the technical problem that a generated surgery cutting path cannot meet the core requirement of safety and precise cutting of liver surgery by using a current point cloud registration method. The method comprises the following steps: acquiring a preoperative liver point cloud and an intraoperative surgery point cloud, obtaining a 4D input tensor and a dense point cloud with weights through residual-density adaptive sampling, GeoTransformer module initial pose estimation and voxelization processing, generating a final safe surgery path and real-time navigation data by relying on a Transformer path encoder planning through Fourier neural operator field-field mapping, heterogeneous material field driven volume deformation, geometric constraint verification and closed section generation processing.

The present invention provides a method and system for evaluating the response after liver tumor intervention based on a generative adversarial network. A method for evaluating the response after liver tumor intervention based on a generative adversarial network includes the following steps: S1. Training a deep learning model to obtain an evaluation model capable of giving a prognosis evaluation result; S2. The evaluation model takes the plain CT scan after liver surgery and the postoperative serological test information as inputs and outputs a prognosis evaluation result. The present invention does not require liver puncture, which can reduce the trauma risk and medical resources for patient prognosis estimation; after the operation, the patient of the present invention does not need to take enhanced CT, and there will be no radiation risk and medical resource consumption caused by taking enhanced CT. At the same time, it can give a prognosis evaluation result based on enhanced CT, ensuring that the CT image used as the evaluation basis can clearly show the lesion, having the effect of enhanced CT, and being able to give a more accurate evaluation result.

The application discloses a laparoscopic liver surgery navigation 2D / 3D registration method based on a PSO-SoftPOSIT combined algorithm, the method first obtains a global optimal pose through PSO algorithm iteration as an initial pose of the SoftPOSIT algorithm, then further registers the initial pose through the SoftPOSIT algorithm, and re-adds the obtained pose to the PSO algorithm, through iteration, finally the method not only solves the problem that current surgery navigation registration related algorithms can only use expensive binocular endoscopes, but also reduces the requirement of the SoftPOSIT method on the initial pose, and higher registration accuracy and better registration effect are achieved.

The utility model discloses a laparoscopic liver surgery retractor which comprises a handle, a retraction assembly and a locking assembly, and the handle is provided with a sliding block and an adjusting rod; the retracting assembly comprises a connecting cylinder and a movable rod, and one end of the connecting cylinder is detachably connected to the handle; one end of the movable rod abuts against the adjusting rod, and the other end of the movable rod is rotationally connected with a plurality of retraction hooks; when the sliding block slides, the adjusting rod can be driven to extend out of the handle and abut against one end of the movable rod so as to drive the retracting hooks to extend out of the other end of the connecting cylinder and be opened. Or, the adjusting rod can be driven to retract to the handle and away from one end of the movable rod, and the retracting hooks retract to the other end of the connecting cylinder; the locking assembly is used for locking the length of the adjusting rod extending out of or contracting into the handle. Therefore, one end of the connecting cylinder is detachably connected with the handle, so that the retractor can be conveniently detached and thoroughly cleaned after an operation, potential sanitation hazards and potential infection risks are effectively avoided, and the use safety and maintenance convenience of the retractor are improved.

The application discloses a video segmentation method and system for laparoscopic liver surgery, and belongs to the technical field of video segmentation. The method comprises the following steps: pre-processing a laparoscopic liver surgery video to obtain training data; constructing a video liver segmentation network, including a backbone network for segmenting a liver from an input video frame and an auxiliary network for performing time consistency constraint and occlusion estimation on the input video frame; training the video liver segmentation network through a knowledge distillation method, and extracting the backbone network as a video liver segmentation model after the training is completed; and segmenting real-time video data input through the video liver segmentation model to obtain a liver segmentation result. The training process based on the spatiotemporal consistency constraint can fully utilize unannotated frames in the video, and ensures high precision. The model is compressed based on the knowledge distillation method, which saves the computing power while ensuring the real-time prediction, and provides real-time assistance for doctors during the operation.

Disclosed is a marker unit for use in augmented reality aided surgery, and in particular laparoscopic liver surgery. The marker unit comprises a flat body with two main surfaces. One of the main surfaces is provided with a set of optically detectable markers, and the opposite main surface is arranged to be connected to a bodily organ, and preferably provided with an adhesive. The marker unit further comprises a set of radiopaque markers that are visible by a medical imaging system. Both the optically detectable markers and the radiopaque markers are provided in a geometrical pattern not having rotational symmetry, thereby allowing the rotational position of the marker unit to be determinable. The geometrical patterns of the optically detectable markers and the radiopaque markers have a fixed, predetermined correlation.

The application relates to the technical field of liver surgery, and discloses a liver surgery planning system based on data fusion. The system comprises an image data fusion module, a three-dimensional model construction module, a surgery path planning module, a risk assessment module and a scheme optimization module. The image data fusion module integrates CT and MRI images to generate a standardized image fusion model; the three-dimensional model construction module generates a liver three-dimensional visual model based on the image fusion model; the surgery path planning module plans an optimal resection path to form a preliminary surgery path scheme; the risk assessment module assesses the surgery risk and generates a report; and the scheme optimization module adjusts parameters based on the report to generate a final surgery planning scheme. The system accurately presents the liver structure and the tumor position, scientifically plans the surgery path, assesses and avoids the surgery risk, optimizes the surgery scheme, and helps precise implementation of liver surgery through multi-source data fusion and three-dimensional visualization technology.

The invention relates to the field of operating forceps, in particular to a pair of inferior vena cava root blood vessel dissecting and separating forceps for liver surgery, which comprises a forceps body and a tube body, and a pull rod is arranged in the tube body; a first supporting seat is fixedly connected to the inner wall of the pipe body, a transmission fluted disc is rotationally connected to the first supporting seat, a hollow telescopic rod is fixedly connected to the middle of the transmission fluted disc, the other end of the telescopic rod is connected with the clamp body, and the pull rod penetrates through the telescopic rod and drives the clamp body to clamp by pulling; the inner wall of the pipe body is fixedly connected with a second supporting seat, the middle section of the pull rod is of a sawtooth flexible strip structure, and the second supporting seat is provided with a lock hole used for clamping the sawtooth flexible strip structure in a one-way mode and first lock teeth. The inner wall of the pipe body is slidably connected with a ratchet bar, the pull rod is provided with second locking teeth for unidirectionally clamping the ratchet bar, and a driving part is arranged at the end, close to the transmission fluted disc, of the ratchet bar. According to the technical scheme, the clamp body can be controlled to clamp by pulling out the pull rod, the clamp body can be controlled to rotate by pulling back the pull rod, hand operation is optimized, and control performance is improved.

The combination of a marker system with binocular AR glasses to create a soft tissue procedure system used for surgery, biopsies, etc. A marker localization system is functionally integrated with augmented reality (AR) glasses. This soft tissue system can be applicable for AR surgeries in soft tissues involving mobile and static anatomies anywhere in the body, such as for example, breast, soft tissue, lungs, lymph nodes, liver surgeries, etc. By the placement of single or multiple markers and localizing the markers with a locator, such as a hand-held locator as a non-limiting example, the above-mentioned system provides a real-time intraoperative coordinate frame for the virtual projection of the markers (and the associated ROI) on / in the surgical field / biopsy field of view, using commercial off-the-shelf computer hardware (laptops, tablets, etc.) for the required image processing.

The present invention proposes a non-rigid point cloud registration method for computer-assisted liver surgery, which obtains a source point cloud point set and a target point cloud point set; uses a feature extraction module to extract the source point cloud point set features and the target point cloud point set features respectively; adopts the optimal transmission idea, based on the source point cloud point set features and the target point cloud point set features, calculates the correspondence matrix between the two point sets; obtains the optimal displacement vector according to the correspondence matrix, uses the optimal displacement vector to correct the source point cloud point set, and obtains the corrected source point cloud point set; calculates the reconstruction loss based on the corrected source point cloud point set and the target point cloud point set, and trains the LCNet model for point set registration. The present invention extracts features through a feature extraction module, and uses an optimal transmission module to calculate point correspondences, and finally estimates the displacement by solving the matrix equation involved, thereby achieving robustness to noise and rotation changes.

The application discloses a liver intersegmental vein three-dimensional image artificial intelligence identification method and related equipment, and belongs to the medical image processing field. The method comprises the following steps: acquiring abdominal medical image data of a target patient; establishing an original liver segment model and an extended liver segment model of the target patient based on the image data, and extracting an intersegmental liver vein image in an intersection region of the original liver segment model and the extended liver segment model; the original liver segment model is obtained by reconstruction based on the abdominal medical image data of the target patient, and the extended liver segment model is obtained by extension operation based on the original liver segment model; inputting the extracted intersegmental liver vein image into a pre-trained binary classification model to obtain a liver intersegmental vein three-dimensional image artificial intelligence identification result. The application converts the recognition and identification of the intersegmental liver vein into an automatic extraction and intelligent identification process, and provides accurate and repeatable preoperative evaluation basis for liver surgery planning.

The invention discloses an engineering modification method for improving the repair effect of an exosome on liver injury, which is characterized in that the exosome is subjected to engineering modification, and the exosome is accurately guided to a liver area needing to be treated, so that the repair effect of the exosome on the liver injury is improved. The invention provides a new hope for patients subjected to liver surgery, especially for liver transplantation patients, and the engineered and modified mesenchymal stem cell exosome is expected to assist liver transplantation and improve prognosis of the liver transplantation patients.

The invention belongs to the technical field of surgical navigation, and particularly relates to a liver surgical navigation system based on fluorescence and three-dimensional reconstruction and a storage medium. The system comprises: an input module configured to input an endoscopic image collected during an operation and a preoperative three-dimensional reconstruction model; the segmentation module is configured to segment a liver region in the endoscope picture; a fluorescence segmentation module configured to segment a fluorescence region from the liver region; the three-dimensional reconstruction module is configured to perform intraoperative three-dimensional reconstruction to obtain a liver three-dimensional reconstruction model, and the liver three-dimensional reconstruction model comprises a part corresponding to the fluorescent region; and the point cloud registration module is configured to register the liver three-dimensional reconstruction model obtained by the three-dimensional reconstruction module and the liver area in the preoperative three-dimensional reconstruction model. The liver surgery navigation system can provide more objective, accurate and easily recognized navigation information, can better achieve the target of precise medical treatment, and has a good application prospect.

The invention provides a liver postoperative peritoneal drainage tube anti-drop fixing nursing device, and relates to the technical field of peritoneal drainage tube anti-drop, the liver postoperative peritoneal drainage tube anti-drop fixing nursing device comprises a first mounting disc, the first mounting disc is provided with a storage mechanism convenient for anti-drop storage, and the storage mechanism comprises a second mounting disc, a fixing circular shaft, a guide ring, an adjusting rod and a drainage catheter; the second mounting disc is located on one side of the first mounting disc, and the fixed circular shaft is located between the first mounting disc and the second mounting disc. According to the combined structure, the fixed circular shaft, the guide ring and the adjusting rod are arranged and matched, so that the drainage catheter is stored, a liver postoperative patient needs to gradually carry out rehabilitation activities such as walking out of a bed and the like, and the exposed length of the drainage catheter directly affects the activity convenience; containing and releasing of the drainage catheter can be flexibly controlled, and the exposed length of the drainage catheter can be increased or decreased at any time according to the activity requirement of a patient.

The invention discloses a portal vein medical image segmentation system and method based on automatic parameter configuration, and relates to the field of medical image processing, artificial intelligence and computer-aided diagnosis. Multi-center medical image key statistical features are obtained through a data set feature extraction module, and an automatic parameter configuration module automatically generates optimal network training parameters based on the features without manual intervention; and then model training is completed through a network training module, key parameters are recorded by an empirical parameter output module for cross-center migration, and a three-dimensional segmentation result and a visual interface are output by a prediction visualization module. According to the method, a full-intelligent process from data input to segmentation output is realized, the method is adaptive to multi-center and multi-mode medical images, the segmentation precision is high, the robustness is high, the method can be widely applied to liver operation planning, portal hypertension evaluation, liver cancer diagnosis and treatment monitoring, and the clinical diagnosis efficiency and consistency are greatly improved.

The application discloses a kind of 13 The application discloses a mefedrone injection lyophilized powder injection and a preparation method and application thereof, and belongs to the technical field of pharmaceutical preparations. 13 The mefedrone injection lyophilized powder injection is prepared by a freeze-drying method from raw materials, and the raw materials include 13 Mefedrone, excipients, cosolvents and pH regulators. 13 The raw drug mefedrone is prepared into 13 The mefedrone injection lyophilized powder injection is used, and the stability of the raw drug mefedrone is improved, and storage and transportation are facilitated. 13 The mefedrone injection lyophilized powder injection can be used for preparing drugs, reagents or kits for disease diagnosis, liver reserve function evaluation and preoperative and postoperative evaluation of liver surgery. 13 The mefedrone injection lyophilized powder injection can be used for preparing drugs, reagents or kits for disease diagnosis, liver reserve function evaluation and preoperative and postoperative evaluation of liver surgery.

The utility model relates to the technical field of surgical operation auxiliary instruments, in particular to a hepatic portal blocking device in a laparoscopic hepatic operation, which comprises a blocking belt and a supporting guide wire, the two ends of the blocking belt in the length direction are respectively a head part and a tail part, the tail part of the blocking belt is in a rat tail shape and is gradually thinned, and the supporting guide wire is arranged on the blocking belt. A central hole extending towards the head of the blocking belt is formed in the tail of the blocking belt, a lock hole is formed in the position, close to the head of the blocking belt, of the side face of the blocking belt in a penetrating mode, two rows of lock catches are connected to the side face of the blocking belt, and the lock catches in the same row extend in the length direction of the blocking belt. The lock catches are located between the lock hole and the tail portion of the blocking belt, the supporting guide wire is inserted into the center hole and plays a role in supporting the blocking belt, the defects of an existing blocking method can be effectively overcome, and practicability is high.

The application relates to the field of biological medicine, in particular to application of sodium tiglate in preparation of products for promoting liver regeneration and reducing blood ammonia; it is found and disclosed for the first time in the application that sodium tiglate can be applied to preparation of liver regeneration or liver function recovery products, liver cell proliferation capacity of residual liver after partial hepatectomy can be improved by using sodium tiglate, blood ammonia level after liver surgery is controlled, nitrogen metabolism disorder is improved by promoting conversion of blood ammonia into urea, and liver cell regeneration capacity is improved; the application of sodium tiglate provides a new treatment strategy with clear action mechanism and wide development prospect for treatment of insufficient liver regeneration after partial hepatectomy and hyperammonemia.

The utility model relates to a triangular liver suspension device. A main body of the triangular liver suspension device is a triangular TPU (Thermoplastic Polyurethane) film sheet; a first traction rope is fixed at the vertex angle of the TPU film sheet; a second traction rope is arranged on the opposite side of the vertex angle of the TPU film sheet; wherein a strip-shaped curled edge is arranged between the two bottom corners and on the opposite side of the top corner, a right lower curled edge is arranged at the bottom corner on the right side, the second pulling rope is fixed at the bottom corner on the left side, and the second pulling rope sequentially penetrates through the strip-shaped curled edge and the right lower curled edge and extends out of the right lower curled edge. According to the laparoscopic surgery minimally invasive principle, the design is simple, operation is easy and convenient, a surgeon can quickly master and use the laparoscopic surgery minimally invasive surgery device easily, direct contact with the liver in the surgery process can be reduced, injury and bleeding risks are reduced, the laparoscopic surgery device can further adapt to different types and parts of liver surgery, stable suspension support is provided, and trauma to the body of a patient is reduced.

The utility model relates to the field of liver operations, and discloses a tightness-adjustable operation porta hepatis blocking belt which comprises a blocking belt body used for blocking porta hepatis blood vessels, two adjusting blocks are arranged at one end of the blocking belt body, the other end of the blocking belt body penetrates through one ends of the adjusting blocks, an adjusting assembly is arranged in the adjusting block on the upper side, and the other end of the blocking belt body penetrates through one ends of the adjusting blocks. A plurality of positioning holes are formed in one end of the blocking belt, two inserting holes are formed in the other end of the blocking belt, and the two adjusting blocks are connected through a buckle assembly. According to the utility model, the tightness degree of the blocking belt can be quickly adjusted, the delay of the surgical work of a patient due to the adjustment of the tightness degree of the blocking belt is reduced, so that the delay of the surgical process is prevented, the surgical risk is reduced, and the blocking belt can be quickly disassembled, so that the blocking belt is replaced or disinfected, and the surgical efficiency is improved. The replacement efficiency and the cleaning and disinfection efficiency of the blocking belt are greatly improved, and the convenience of the blocking belt is improved.

The present invention discloses a method for preoperative to intraoperative liver point cloud registration based on deep learning, comprising the following steps: obtaining existing real three-dimensional liver model data; preprocessing the existing real three-dimensional liver model data to obtain a complete preoperative liver point cloud and a partial intraoperative liver point cloud, using the corresponding complete preoperative liver point cloud and partial intraoperative liver point cloud as samples to obtain a sample data set; constructing an initial liver point cloud registration model based on a dual-branch network framework; using the sample data set to train the initial liver point cloud registration model to obtain a liver point cloud registration model; and using the liver point cloud registration model to perform actual liver point cloud registration. The method of the present invention not only greatly improves the registration accuracy, but also increases the registration speed, making it real-time. Compared with existing methods, it has the advantages of high registration accuracy and fast registration speed.