13 results about "Organ surface" patented technology

The invention provides an organ soft tissue dynamic three-dimensional reconstruction method and system, a storage medium and equipment, and the method comprises the steps: obtaining a static CT image sequence, segmenting a target organ, extracting an organ contour, and generating a CT point cloud based on a CT coordinate system; acquiring an ultrasonic image sequence acquired by a positioning sensor bound on an ultrasonic probe, segmenting a target organ, and extracting an organ contour to generate an ultrasonic point cloud based on a positioning coordinate system; matching the positions of the CT point cloud and the ultrasonic point cloud through rigid registration to obtain the CT point cloud after rigid transformation; correcting the CT point cloud after rigid transformation through elastic registration, and generating a deformed CT point cloud; and generating an organ three-dimensional surface from the deformed CT point cloud through a surface generation algorithm to realize dynamic three-dimensional reconstruction based on a static CT image.

The invention relates to the technical field of automatic control, and discloses a large-scale organ uniform controllable cooling method and system based on deep reinforcement learning and fuzzy control. The method comprises the following steps: constructing a high-precision temperature sensor array, and collecting multi-point temperature data on the surface and in the organ in real time; based on a biological heat transfer theory inverse problem model, reconstructing an organ three-dimensional temperature field in real time; a depth deterministic strategy gradient algorithm is adopted to optimize a fuzzy proportional-integral-differential controller. The depth deterministic strategy gradient algorithm takes minimization of organ internal temperature gradient as a primary optimization target, and parameters of a fuzzy PID controller are adjusted on line through interactive learning of an intelligent agent and a cooling environment, so that the power and the rate of a cooling module are accurately controlled. By means of the method, intelligent prediction and dynamic optimization of the cooling process can be achieved, the temperature gradient in the organ is smaller than 10 K / cm while it is guaranteed that the cooling rate reaches 15 K / min, and the success rate of low-temperature preservation of the large-scale organ and the activity of the large-scale organ after resuscitation are improved.

Embodiments of the present application relate to a surgical early warning method and device based on ultrasound image visualization, equipment and medium. The method comprises: extracting the corresponding organ surface from the preset voxel model according to the label corresponding to a plurality of preset organs; wherein the organ surface is composed of triangular facets; according to the set frequency, the ultrasound section is refreshed and drawn according to the pose of the ultrasound section; according to the positional relationship between the triangular facets constituting the organ surface and the pose of the ultrasound section, an organ model is drawn; in response to the user's simulated puncture operation on the organ model, the puncture needle is displayed according to the spatial position of the puncture needle. The technical scheme of the embodiments of the present application can realize the effect of improving the safety and accuracy of the operation.

The present teaching relates to automated robot base location determination. An instrument access map is obtained with respect to a surgical instrument for performing a surgical operation on an organ and defines a surface area on the organ with cut points that form a surgery trajectory. Information about a robot and a surgical environment is received and used to generate a robot access map with multiple robot base locations. The robot is for controlling the surgical instrument to perform the surgical operation along the surgery trajectory. A robot base location is selected based on evaluation parameters derived for each of the robot base locations. Control signals are generated for configuring the robot at the selected robot base location to facilitate the surgical operation.

An organ surface ultrasound probe includes a head, a pump and a controller. The head may include a transducer, a housing supporting the transducer and a flexible bladder containing an acoustic coupling medium for positioning between the transducer and the exterior surface of the organ. The controller is to output control signals causing the pump to inflate the bladder to different inflation states.

The invention discloses a parameterized customization method and device for an organ conformal paper-cut structure. The method comprises the steps that S1, a 3D model of a target organ is constructed, and Gaussian curvature distribution of the surface of the target organ is obtained; s2, extracting the feature curvature of a target area with the highest surface curvature in the target organ; and S3, constructing an equivalent sphere model for parameterization design of the paper-cut structure by utilizing the characteristic curvature K, and obtaining geometric structure parameters of the inlaid paper-cut unit according to a preset threshold value of the effective area coverage rate and by combining a conformal theory, so that the paper-cut structure and the target organ are conformal, and the effective area coverage rate reaches the preset threshold value. According to the method, geometric structure parameters of inlaid paper-cut units are optimized, so that each unit is subjected to self-adaptive deformation according to the local curvature of the organ surface, seamless attachment of the paper-cut structure on the complex organ surface is ensured, the effective area coverage rate is as high as 95%, and the uniformity and efficiency of drug delivery and the electrotransfection depth are improved.

Examples described herein provide a computer-implemented method that includes receiving, by an MTL model, a laparoscopic image of a first organ; and reproducing, by the MTL model, the laparoscopic image such that one or more of a silhouette and surface of a first organ is graphically differentiated from adjacent organs and biological structures; training the landmark head, of the MTL model that has a transformer encoder, the landmark head and a surface head, for predicting the ridges and silhouette of the first organ from the laparoscopic image of the first organ; training the surface head for segmenting the first organ from the adjacent organs and biological structures from the laparoscopic image of the first organ; applying the transformer encoder followed by multi-resolution feature interpolation and stacking, and per-head feature convolutions; and applying a homoscedastic weighting of per-task losses, to balance losses using the predictive uncertainty of each task.

The present teaching relates to automated robot base location determination. An instrument access map is obtained with respect to a surgical instrument for performing a surgical operation on an organ and defines a surface area on the organ with cut points that form a surgery trajectory. Information about a robot and a surgical environment is received and used to generate a robot access map with multiple robot base locations. The robot is for controlling the surgical instrument to perform the surgical operation along the surgery trajectory. A robot base location is selected based on evaluation parameters derived for each of the robot base locations. Control signals are generated for configuring the robot at the selected robot base location to facilitate the surgical operation.

The present application relates to the technical field of image semantic segmentation, in particular to a digestive tract tumor lesion image segmentation method and system based on multi-modal fusion technology, comprising the following steps: collecting CT and EUS sequences to generate an organ surface three-dimensional triangular mesh model, mapping anatomical markers and constructing a dual-mode lumen manifold surface geodesic distance topological atlas, calculating the connection edge difference and the total amount of elastic potential energy, and generating a digestive tract tumor lesion pixel-level segmentation mask. In the present application, the organ physical form is restored by constructing a covering tube wall triangular mesh reducer, the path length is accurately quantified by using the manifold surface geodesic distance instead of the straight line distance, the potential energy gradient is calculated to drive the nodes to converge in the energy descent direction, the non-rigid mapping field conforming to the anatomical constraint is generated to offset the endoscope compression distortion, the EUS texture is accurately mapped to the CT coordinate system under the premise of maintaining the topological integrity, the multi-modal feature deep fusion is realized, and the soft tissue lesion segmentation accuracy is improved.

A surgical system is configured to augment the visualization environment presented to the surgeon by merging, in real-time, video feed and ultrasound imaging; tracking anatomy and instruments; identifying critical structures; generating and displaying 3-dimensional models of relevant anatomy; providing actionable guidance to the user; and enabling data collection and processing. The surgical system may include a tissue-marking surgical instrument configured to simultaneously identify critical structures beneath an organ surface and mark the organ surface at a location overlapping the identified critical structures.

This invention discloses a method and system for parsing radiological image data, belonging to the field of data analysis technology. The method includes: registering and extracting features from PET metabolic images and ultrasound images to generate physiological metabolic feature vectors; reconstructing the organ surface manifold based on the real parts of compressed composite features, and combining Gaussian curvature detection and vascular continuous homology analysis to obtain manifold feature vectors; constructing a dynamic hypergraph based on the physiological metabolic feature vectors and manifold feature vectors to generate cross-modal fusion feature vectors; inputting the cross-modal fusion feature vectors into a constraint generator to solve the elastic wave equation and generate a diagnostic report; combining the elastic wave equation with a Monte Carlo random perturbation model, quantifying deformation anomalies through finite element nodal displacement fields, and combining morphological-metabolic-topological multi-dimensional parameters to significantly improve the sensitivity of malignant lesion detection.

The invention provides a mixed reality operation navigation method and system, relates to the technical field of mixed reality, and is used for solving the problem that an existing navigation system is low in positioning accuracy of organ key structures in a soft tissue operation. According to the technical key points, the method comprises the steps of obtaining a preoperative organ 3D model; tracking intraoperative organ surface data by using mixed reality equipment; performing fusion processing on the organ 3D model and the organ surface data to generate an optimal matching deformation correction model; performing holographic projection on the optimal matching deformation correction model to display the corrected internal structure of the organ; wherein hologram display is stabilized by arranging an external reference tool; tools and organ surface points are tracked in real time by using a head-mounted depth camera, so that the tracking precision is improved; the soft tissue deformation is accurately compensated by combining a weighted iteration nearest point algorithm and a linear iteration boundary reconstruction algorithm. The method is wide in applicability, and can be expanded to open surgery, potential laparoscopic workflow and other soft tissue interventions.

The invention relates to the technical field of medical treatment, and provides organ low-temperature mechanical perfusion and a temperature control method thereof. The temperature control method for organ low-temperature mechanical perfusion comprises the following steps: immersing an organ in flowing organ perfusion liquid with controllable temperature, and cooling or heating the surface of the organ by using forced convection heat exchange; and injecting the temperature-controllable organ perfusate into the organ, so that the organ perfusate circularly flows in the organ, and cooling or heating in the organ is realized. According to the temperature control method for organ low-temperature mechanical perfusion, the defect that in the prior art, in the organ low-temperature mechanical perfusion heating and cooling process, temperature distribution in an organ is not uniform, thermal stress damage and biological damage are caused, and finally organ activity is reduced is overcome, and the novel temperature control method for organ low-temperature mechanical perfusion is achieved. The temperature inside and outside the organ is always uniform, thermal stress damage and biological damage are reduced, good activity of the organ is ensured, and a guarantee is provided for subsequent transplantation.