366 results about "Target organ" patented technology

The invention provides a microdosimetry-based evaluation method for a targeted alpha radionuclide treatment biological effective dose, and the method comprises the steps: carrying out the integration of a time activity curve of alpha radionuclide in an organ, obtaining the cumulative activity, and calculating the physical absorbed dose and dose rate of the organ through Monte Carlo simulation; based on micro-dose Monte Carlo simulation, constructing a micro-dose spectrum of the alpha radionuclide to obtain saturation correction dose average linear energy for representing radiation quality; obtaining biological effect parameters of the alpha radionuclide by fitting saturation correction dose average line energy and cell experiment data by using a micro-dose kinetic model; and evaluating the biological effective dose of the target organ in combination with the physical absorbed dose, the dose rate and the biological effect parameter. According to the method, the problem that a biological effective dose evaluation method is lacked in dose evaluation of targeted alpha radionuclide treatment is solved.

A remote interventional robotic system (10), a control method, and a device. The system (10) comprises: a remote interventional robot (30) determining that a puncturing apparatus (304) does not move to a skin puncturing position of a target organ; on the basis of the puncturing apparatus (304) not moving to the skin puncturing position of the target organ, receiving a first motion control instruction for a robotic arm (303); and sending the first motion control instruction to the remote interventional robot (30), and the remote interventional robot (30) controlling the robotic arm (303) to execute the first motion control instruction such that the puncturing apparatus (304) moves to the skin puncturing position, and controlling a puncture needle to advance to a lesion point of the target organ along a needle entry path. By means of a remote control end (20), the remote interventional robot (30) is accurately controlled, thereby remotely controlling a puncture needle to accurately reach a lesion point.

A method, a system, and a computer-readable medium for motion detection and correction of a medical image are provided, including segmenting a medical image about a target organ into a plurality of frame images in accordance with list mode data, and analyzing a plurality of centers of mass of a volume of interest in the plurality of frame images to compute a motion curve of the target organ during scanning, and executing a reconstruction optimization of the medical image based on the motion curve, and therefore being able to take into account the movement of a human organ or a lesion without installing an additional monitoring device in order to perform motion detection and correction of the medical image.

The invention relates to the technical field of artificial intelligence, and discloses an artificial intelligence-based spleen and liver trauma model establishment method, which comprises the following steps of: S01, acquiring target data; step S02, obtaining research data; s03, inputting research data into the improved U-Net network model, and performing organ segmentation to obtain a target organ contour; s04, performing three-dimensional reconstruction to obtain a trauma model corresponding to the target organ, and performing hemodynamic analogue simulation; through the step S03, construction of the improved U-Net network model is facilitated, compared with a traditional U-Net network model, the improved U-Net network model can significantly improve the accuracy and robustness of organ segmentation, the effectiveness and accuracy of the spleen and liver contour are enhanced, and an effective foundation is laid for subsequent three-dimensional modeling based on the spleen and liver contour.

The invention relates to an active oxygen responsive triptolide prodrug immunoregulation hydrogel preparation as well as a preparation method and application thereof. Triptolide is coupled with an active oxygen responsive group to synthesize a triptolide derivative; then, the triptolide derivative is coupled with polypeptide, and a polypeptide-reactive oxygen responsive group-triptolide conjugate is obtained; then dissolving the polypeptide-active oxygen responsive group-triptolide conjugate in a solvent, standing, and carrying out self-assembly to obtain a triptolide prodrug nanofiber solution; finally, an immunomodulator is added into the triptolide prodrug nanofiber solution for incubation, and the active oxygen responsive triptolide prodrug immunoregulation hydrogel preparation is obtained. The hydrogel preparation disclosed by the invention can responsively release the medicine triptolide and the immunomodulator at the focus part of rheumatoid arthritis, so that the medicine accumulation of non-target organs is reduced, the safety and effectiveness of treatment are improved, and the progress of diseases is effectively controlled.

Embodiments of the present application relate to the technical field of medical image processing, and provide a medical image recognition method and apparatus, a device and a storage medium. The method comprises: acquiring a target image set, the target image set comprising a plurality of target whole-body tomographic images collected in a first preset time sequence; extracting organ tomographic images of a target organ from the target whole-body tomographic images; constructing an initial organ matrix for the target organ tomographic images of each target whole-body tomographic image; calculating a metabolic reference matrix and the initial organ matrix on the basis of a preset object metabolic difference sub-network, to obtain an organ metabolic difference matrix; and performing metabolic difference recognition on the basis of the organ metabolic difference matrix and the metabolic reference matrix, to obtain a target metabolic difference map that represents metabolic difference information between any two target organs in the target whole-body tomographic images. The embodiments of the present application can improve the recognition accuracy of images acquired by positron emission tomography, thereby improving the accuracy of determining metabolic conditions of individual objects.

The invention relates to a transferrin receptor-targeting drug delivery compound as shown in a formula I, an oligonucleotide conjugate and application of the transferrin receptor-targeting drug delivery compound and the oligonucleotide conjugate. The compounds of the present invention are capable of efficiently delivering oligonucleotides to target organs or target tissues. # imgabs0 #

The invention relates to the technical field of medical data processing, and discloses a disease risk assessment method based on a disease risk knowledge graph, the disease risk knowledge graph comprises a disease risk rule and a disease knowledge entity, and the disease knowledge entity comprises a focus position entity; performing organ positioning according to the physical examination data of the target object, and determining a target organ; performing organ matching and index data matching in a disease risk rule based on the target organ and the physical examination data to obtain a risk matching rule corresponding to the target organ; performing disease risk level analysis on the target organ according to the risk matching rule to obtain a disease risk level of the target object about the target organ; generating a physical examination report of the target object according to the physical examination data, the disease risk level and the target focus position; wherein the physical examination report comprises a three-dimensional model used for displaying the target focus position. The method has the beneficial effects that the pertinence and efficiency of disease risk assessment are improved, and the target object is helped to understand the health state of the target object.

The invention relates to the technical field of biology, in particular to an IL22 mutant as well as a preparation method and application thereof. According to the invention, IL-22 is mutated, and the mutation site is modified with PEG, so that the obtained mutant has good STAT3 / STAT1 preference, the STAT1 signal activation is significantly reduced, and the proinflammatory effect is significantly reduced. In addition, the compound can preferentially act on target organs of intestinal tracts in vivo, and does not easily activate skin cells to generate adverse reactions.

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 discloses a radionuclide-labeled collagen hybrid peptide probe as well as a preparation method and application thereof. The chemical structural general formula of the radionuclide-labeled collagen hybrid peptide probe is (metal nuclide-chelating agent)-Linker-CHP, wherein the metal nuclide is selected from any one of Al18F, 64Cu, 67Cu, 67Ga, 68Ga, 99mTc, 89Zr, 111In, 177Lu, 186Re and 225Ac, and the metal nuclide is selected from any one of Al18F, 64Cu, 67Cu, 67Ga, 68Ga, 99mTc, 89Zr, 111In, the chelating agent is selected from any one of NODAGA, NOTA2 and DOTA; linker is a connecting joint, and CHP is a collagen hybrid peptide with a polypeptide sequence of (GfO) n or (GPO) n. The probe not only has the characteristic of radiochemical marking stability, but also has the excellent biological distribution characteristics of high uptake in target organs such as tumors and low uptake in non-target organs such as liver and kidney, and has a good clinical application prospect.

The invention relates to the technical field of dosimetry, in particular to a rapid dose evaluation method and device for individualized targeted radionuclide treatment.The method comprises the steps that labeled nuclides, drug ligands and image data of a patient are obtained, and corresponding standard S values are selected according to the labeled nuclides and the drug ligands; the method comprises the following steps: segmenting first-time-phase CT image data to obtain a segmentation mask of a target organ, calculating an individualized S value based on the segmentation mask, generating an individualized voxel model, registering the SPECT image data and the CT image data to obtain organ-level source item parameters and voxel-level source item parameters, and calculating an individualized S value based on the individualized voxel model to obtain an organ-level source item parameter and a voxel-level source item parameter; and according to the organ-level source item parameter and the voxel-level source item parameter, respectively obtaining an organ-level dose evaluation result and a voxel-level dose evaluation result, and comprehensively evaluating source target organ dose distribution. Therefore, the problems that the dose conversion coefficient lacks calibration, the voxel model is difficult to balance the calculation speed and precision and the like are solved, errors caused by individualized differences are reduced, and the calculation accuracy and speed are guaranteed.

The invention discloses a CT image generation method and device based on multiple entity masks. The method comprises the steps that a floating image containing a target organ and blood vessels and a reference image of the target organ are obtained; according to the floating image and the reference image, generating a first mask image containing the target organ and blood vessels based on contour bionic registration and mask filling of the target organ; in the first mask image, realizing morphological feature enhancement of a pathogenic body, and obtaining a pathogenic body mask image of the target organ; and according to the conditional diffusion model, generating a CT image of the target organ by using the pathogenic body mask image of the target organ. According to the invention, more efficient and more accurate CT images can be automatically synthesized.

The invention relates to the technical field of biological detection, in particular to a DNA tetrahedral fluorescent probe and application thereof. In the microRNA targeting probe based on DNA plasticity prepared by the invention, different types of miRNAs cause obvious fluorescence difference of DNA tetrahedrons, that is, the DNA tetrahedral structure (TDN) as the probe can be used for detecting targeting nucleotides. The advantages of natural biocompatibility, structural stability, programmability, easiness in internalization, editability and the like of a DNA tetrahedral nanostructure are utilized, extracellular vesicles serve as a delivery platform, an EV-TDN compound can be synthesized, the safety is improved, the target organ / whole body signal ratio effect is improved, the behavior of EV in a mouse is accurately and quantitatively tracked, and the application prospect is wide. The regeneration capacity and the treatment effect are not influenced. The DNA tetrahedral fluorescent probe TDN designed by the invention can be used for detecting targeted nucleotides; the fate and treatment effect of the EV in a lung organ and even a life system can be represented safely, accurately, noninvasively, in real time and quantitatively, and the method is applied to biosensing and disease diagnosis research.

The present invention discloses methods for automatically computing an arterial input function from one or more regions of interest, the method comprising: a. obtaining a plurality of dynamic image data sets comprising volumetric image data from the regions of interest over multiple scanning intervals; b. utilizing an artificial neural network to segment the plurality of dynamic image data sets displaying one or more arterial input function(s) (AIF) in the region(s) of interest; c. automatically estimating, using artificial intelligence, an arterial input function based on plurality of dynamic image data sets combined with one or more time activity curves (TAC) in the region(s) of interest in target organ(s); and d. computing a pre-trained predictive pharmacokinetic AI model arterial input function using time activity curve input associated with region(s) of interest of target organ(s).

The invention provides an application of cichorium glandulosum polysaccharide in preparation, basic characterization and type 2 diabetes mellitus relieving medicines, and belongs to the technical field of medicines. Animal experiment results show that after the cichorium glandulosum polysaccharide is applied to type 2 diabetic mice, serum biochemical indexes can be adjusted, the blood sugar level can be reduced, organ injuries can be protected or repaired, and PI3K / AKT / mTOR signal channel related protein expression in the main glycometabolism target organ liver can be adjusted. Therefore, the prepared cichorium glandulosum polysaccharide can be used as a medicine for relieving type 2 diabetes mellitus.

The invention is suitable for the field of medical post-operation management and control, and provides a post-paracentesis monitoring method, device and equipment and a storage medium, and the method comprises the steps: monitoring the affected part information of a patient after paracentesis based on a plurality of sensors; the affected part information comprises ultrasonic Doppler imaging information of a target organ area, pressure change information of a puncture part and the periphery, temperature distribution and temperature change information of the puncture part, and sound wave propagation change information of the puncture part and surrounding tissues; based on the affected part information, determining bleeding information of the puncture part; and when the bleeding information indicates that the bleeding condition exceeds the preset safety range, triggering an alarm. According to the scheme, the bleeding symptoms can be early recognized, and automatic monitoring and adjustment are achieved.

The invention provides a peripheral nerve precise regulation and control method and system based on a multi-channel flexible electrode, and is applied to the technical field of data processing. Physiological parameter information of a target user is processed based on a target peripheral nerve stimulation model, muscle contraction characteristic comprehensive indexes are generated, the muscle contraction characteristic comprehensive indexes comprise muscle contraction amplitude and contraction frequency, and the contraction frequency is clearly distinguished according to fast muscles, slow muscles and different motion modes; processing the training purpose information and the muscle contraction characteristic comprehensive index of the target user based on the target peripheral nerve stimulation model, and generating a preliminarily adjusted muscle contraction signal; processing the preliminarily adjusted muscle contraction signal based on the physiological feature information of the target organ to generate a secondarily adjusted muscle contraction signal; and processing the muscle contraction signal after secondary adjustment based on the motion intensity interval information of the target organ, and generating a target peripheral nerve stimulation signal.

The invention relates to an auxiliary system for breast cancer radiotherapy based on machine vision, and belongs to the technical field of breast cancer radiotherapy. The system comprises a historical case model training module, a patient case model adjusting module, an optimization feedback learning module, a patient medical image processing module, a physical form change feature extraction module, a deformation quantity time difference prediction module and a three-dimensional structure reconstruction module. The system can quickly predict the deformation quantity of each dimension of a target organ of a breast cancer patient at a certain time point in the future during the edema period after a breast protection operation, and has relatively good accuracy and stability, so that an auxiliary radiotherapy treatment scheme for the breast cancer target organ of the patient can be guided; the system has an important clinical application scene, the treatment efficiency of breast cancer radiotherapy can be greatly improved, the problems of concentrated computing power and long consumed time in the prior art are solved, and a radiotherapy execution scheme can be formed according to a deformation quantity prediction result before radiotherapy operation.

A method for determining positional information of a target organ of a human subject during a biomagnetic field scan comprises detecting, by a plurality of magnetometers, first biomagnetic field signals from at least a portion of the human subject's organ and second magnetic field signals from an electromagnetic transmitter positioned on a predetermined position of the human subject. The plurality of magnetometers have a known position during the biomagnetic field scan. The method includes determining a time-varying spatial relationship between the electromagnetic transmitter and the plurality of magnetometers based on the detected second magnetic field signals. The method further includes correcting artifacts in the detected first biomagnetic signals in accordance with the determined spatial relationship.

The invention discloses a multilevel liver targeting drug delivery system based on ionizable amino lipid and a preparation method thereof, the system comprises the following components: target modified ionizable amino lipid, ionizable amino lipid, auxiliary lipid and structural lipid in a molar ratio of (10-30): (30-60): (5-40): (15-55), according to the system, nano lipid particles exist in a water-in-oil-in-water nano emulsion form; wherein the ionizable ammonia lipid is a compound with a structure as shown in a formula (I). The system is suitable for delivering nucleic acid, protein and other active pharmaceutical ingredients to the liver so as to improve the accuracy and treatment effect of drug delivery and reduce the side effects of non-target organs.

The invention relates to a multi-modal prostate image registration method based on a convolutional neural network, and the method comprises the following steps: obtaining a preoperative nuclear magnetic image and an intraoperative ultrasonic image, carrying out the image preprocessing of the preoperative nuclear magnetic image and the intraoperative ultrasonic image, and obtaining a preprocessed nuclear magnetic image and a preprocessed ultrasonic image; performing automatic segmentation operation on a target organ on the preprocessed nuclear magnetic image and ultrasonic image to obtain segmentation information; according to the segmentation information, carrying out pairing and rigid registration on the preprocessed nuclear magnetic image and ultrasonic image; and carrying out weak supervision non-rigid registration on the nuclear magnetic image and the ultrasonic image which are subjected to rigid registration by using a CNN-Transform hybrid network model based on a Unet architecture, so as to realize multi-modal registration. Compared with the prior art, the method has the advantages of automatic registration, high registration precision, short time and the like.

Composition and methods for preventing or reducing inflammation resulting from nanoparticle administration to a subject are provided. In one embodiment a method of delivering an agent to a target organ of a subject, comprises administering to the subject a galectin inhibitor and a nanoparticle comprising the agent, wherein inflammation resulting from administration of the nanoparticle is reduced or prevented.

The invention discloses a curative effect evaluation method and system for stereotactic radiotherapy of spinal tumor, and the method comprises the steps: carrying out the automatic segmentation of tumor tissues and surrounding healthy organs in a spinal tumor imaging image after the stereotactic radiotherapy, and enabling a segmented tumor region to serve as a target organ region; extracting target image omics features from the image of the target organ region, wherein the target image omics features comprise shape features, texture features, gray level statistic features and high-order features related to the curative effect evaluation result; and inputting the target image omics characteristics into the first curative effect evaluation model to obtain a curative effect evaluation prediction result. The multi-dimensional features such as the shape feature, the texture feature, the gray statistic feature and the high-order feature are extracted from the image of the target organ region, the curative effect is evaluated based on the multi-dimensional features, and the accuracy of curative effect evaluation is improved.

The invention discloses a method for directly inducing generation of organoids from IPS and application, and belongs to the field of cell engineering. The invention provides a method for directly and rapidly generating a target organ based on human IPS, and the lung organ, the placenta organ and the blood vessel organ are obtained. According to the method, the organoid represented by three germ layers is induced, so that the method is suitable for constructing various organoid. Compared with the prior art, the method has the advantages that step-by-step induction is not needed, one-step construction is successful, the operation is simple, the construction time is greatly shortened, the process is repeatable, long-term stable culture and passage are realized under in-vitro conditions, and the freezing survival rate is high; the method has the advantages that the method is simple in operation, the cultured organoid is good in homogeneity, RNA-seq results show that high expression of the blood vessel related genes appears in the organoid, and the maximum length of the organoid can reach 400 micrometers, so that the culture method can spontaneously induce expression of part of the blood vessel related genes to support growth of the organoid. The invention provides an important tool for researching pathogenesis of diseases and subsequent drug development.

The invention provides a medical image segmentation method fusing text guidance and pseudo tag optimization, and belongs to the technical field of medical image analysis. In view of the problem that accurate positioning based on semantic description is difficult to realize in a complex anatomical region due to the fact that a current medical image segmentation model generally lacks deep fusion of semantic information, firstly, logic relation cue words are designed for the shape, position and proximity relation of a target organ, and the understanding ability of the model for inter-organ structure semantics is enhanced; then, prompt words are coded by means of a CLIP pre-training model and fused into MedSAM for fine tuning, so that text information can guide positioning of a fuzzy boundary area more accurately; finally, a pseudo-label optimization strategy is introduced to effectively relieve the label noise problem caused by fuzzy edges, experiments are conducted on three public data sets AMOS22, BTCV and LiTS, the result shows that the method achieves comprehensive and advanced performance, and the excellent generalization ability and robustness of the method are fully verified.

The present teaching is directed to estimating 3D camera pose based on 2D features detected from a 2D image. Virtual 3D camera poses are generated with respect to a 3D model for a target organ and associated anatomical structures. Virtual 2D images are created by projecting the 3D model from perspectives determined based on the virtual 3D camera poses. Each virtual 2D image includes 2D projected target organ and / or 2D structures of some 3D anatomical structures visible from a corresponding perspective. 2D feature / camera pose mapping models are then accordingly obtained based on 2D features extracted from the virtual 2D images and the corresponding virtual 3D camera poses, where the 2D features include a 2D ridge line projected from a 3D ridge on the target organ represented in the 3D model.

The invention provides a multi-modal image registration method and system based on a deformation field, a storage medium and equipment, and the method comprises the steps: obtaining multi-modal images, including a 2D ultrasonic image and a 3D reconstruction image, and carrying out the coarse registration; obtaining a 2D ultrasonic image sequence of continuous frames, and obtaining rigid change parameters of the organ in a respiratory cycle; acquiring organ contour feature data points of each frame of 2D ultrasonic image, and performing elastic registration to obtain a 2D elastic deformation field of the organ; constructing a 2D-3D deformation function of the organ, and obtaining a 3D deformation field in a three-dimensional space; and updating vertex coordinates of the target organ in the 3D reconstruction image according to the 3D deformation field to obtain a mapped three-dimensional image to represent rigid and elastic changes of the organ. According to the method, by fusing the multi-modal image information and combining rigid and elastic deformation analysis, accurate registration of the ultrasonic image and the CT / MRI image is achieved, and the precision of multi-modal medical image registration is effectively improved.

The invention discloses a human organ ultrasonic three-dimensional reconstruction method and device based on respiratory displacement compensation, and the method comprises the steps: controlling a probe at the tail end of a mechanical arm of an ultrasonic robot to collect a plurality of test ultrasonic images in a preset test time period at a target organ of a human body; based on the plurality of test ultrasonic images, carrying out conversion from two-dimensional pixel points to three-dimensional point clouds, and establishing a breathing displacement model of the target organ; and controlling the probe to continuously collect ultrasonic images, and applying the breathing displacement model to all the ultrasonic images to obtain a target organ model after ultrasonic three-dimensional reconstruction. According to the method, the accuracy and the stability of three-dimensional reconstruction are improved, the problem of target organ displacement caused by respiratory movement is effectively solved, the applicability and the reliability of ultrasonic imaging in a dynamic environment are improved, and a more complete and accurate three-dimensional target organ model can be obtained.

The invention provides a targeting compound, a nuclide marker thereof, a pharmaceutical composition containing the targeting compound and application, and relates to the technical field of nuclide drugs. The targeted compound comprises a targeted compound modified by a boric acid group or a boric acid ester group as shown in a formula I. By introducing a boric acid group or boric acid ester structure into a TRT drug, uptake and retention at a tumor can be greatly improved, meanwhile, relatively low uptake at a non-target organ is maintained, the target-to-non-target ratio is remarkably improved, and the targeted drug has a good application prospect. And compared with other traditional strategies for improving tumor retention, the toxicity is remarkably reduced. # imgabs0 #