254 results about "Target organ" patented technology

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 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 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.

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 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 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 #

The invention discloses pranoprofen temperature-sensitive gel for treating xerophthalmia and a preparation method, the gel takes poloxamer 407 and poloxamer 188 as matrixes, the optimal ratio of the poloxamer 407 to the poloxamer 188 is 23.5%: 2%, and the ratio is optimized and determined by a central composite design-response surface method. During preparation, a blank gel solution is prepared firstly, and then auxiliary materials such as pranoprofen and the like are added for dissolution. The in-vitro release characteristic is good, the accumulated dissolution rate within 210 min exceeds 90%, and the zero-level pharmacokinetic process is achieved. An SD rat xerophthalmia model is established, and it is proved that the xerophthalmia treatment effect of the composition is better than that of eye drops. In eye tissue distribution and aqueous humor pharmacokinetic studies, higher target organ distribution characteristics are shown, the aqueous humor AUC0-t is 1.85 times that of eye drops, and the bioavailability is high. The invention further provides a gel preparation method, a drug effect evaluation method and a related research method, and a new effective dosage form and a new treatment thought are provided for xerophthalmia treatment.

The present teaching relates to estimating 3D pose of an ultrasound probe. An ultrasound image is acquired by an ultrasound probe deployed at a three-dimensional (3D) probe pose during a medical procedure directed to a target organ. A mask for each two-dimensional (2D) anatomical structure is identified and a corresponding label is estimated from the ultrasound image to generate an ASM / label pair. If a sequence of prior 3D probe poses does not exist, an ASM / label representation for the ultrasound image is generated based on the ASM / label pairs from the ultrasound image and used to estimate the 3D pose of the probe via an ASM-pose mapping model. If the sequence of prior 3D probe poses exists, the 3D probe pose is predicted based on the sequence of prior 3D probe poses and an ASM / label representation is generated based on a virtual ultrasound image created based on the predicted 3D probe pose.

The LNTPI is a surgical instrument used to cut through fibrotic and edematous tissue to define the natural tissue plane of dissection. After defining the natural tissue plane, it is designed to move or carefully insinuate tissues along these natural planes without cutting the tissue, so that targeted organs or parts thereof could be viewed and reached during laparoscopic procedures. The following features make the LNTPI unique compared to standard blunt dissectors used in laparoscopy: 1. The tip of the LNTPI is coarse and not smooth. The tip has diagonal, spiral ridges from the sides which are carried onto the tip converging as a single spiral at the center of the tip, creating a pattern resembling that of a screw; 2. The ridges of the LNTPI are comprised of asymmetrical triangular ridges with an acute angle at the apex that may be leaning along with or against the rotation of the spiral; 3. The tip of the LNTPI is made of tungsten carbide metal instead of stainless steel; 4. Dissection can be done in the usual up, down, left, and right motions as standard dissectors; 5. The side of the LNTPI can be used to "peel" tissue by using the ridges on its side combined with a twisting movement. This maneuver cannot be performed using standard dissectors; and 6. The tip of the LNTPI can perform circumferential dissection when used with a twisting movement causing it to engage tissue like a "drill" along the natural tissue plane. The ridges that converge into a single spiral at the tip of the invention appear like a screw and with the proper twisting movement have a similar effect on tissue. Because of the texture, design, and material used for the tip of the LNTPI, it has the following advantages over standard dissectors: The LNTPI can engage tissues more easily even if the tissues are slippery due to the presence of blood or fluids. The LNTPI can be used to engage tissues through a twisting motion which motion allows the tissues to be engaged in a specific manner that defines natural tissue dissection planes. The LNTPI can insinuate / "peel" tissue by using the side spiral ridges in combination with a twisting movement. The LNTPI can perform circumferential dissection by using the tip and the convergence of the spiral ridges at the center of the tip in combination with a twisting movement. The transfer of lateral shear force to the tissue at various angles (45, 90, and 180 degrees) when using the LNTPI is significantly higher whether the motion is by a sweeping motion or twisting of the instrument, allowing it to insinuate better than standard instruments, especially in a wet field. Hand movements needed in insinuating tissue using the LNTPI are different from the usual hand movements when using standard dissection instruments. The hand movements in using LNTPI require less muscular effort and repetitiveness, thus preventing muscle fatigue and repetitive use injury among surgeons. The instrument is reusable, as compared to dissectors that have fabric at the tip, which must be disposed of and replaced once the fabric tip fully absorbs the blood or other fluid in the wet tissue surface.

A system for limited view imaging is provided. The system may obtain a reference image of an object. The system may identify, from the reference image, one or more critical boundaries between a target organ of the object and one or more adjacent organs of the target organ. The system may determine an imaging angle range of the object based on the one or more critical boundaries. The system may further cause an imaging device to scan the object based on the imaging angle range, the object being in a breath-hold state during the scan.

The embodiment of the invention provides a target organ model registration method and system, electronic equipment and a storage medium, and belongs to the technical field of surgical navigation, and the method comprises the steps: obtaining target organ image data of a patient before an operation, and constructing a corresponding preoperative three-dimensional point cloud model based on the target organ image data; the method comprises the following steps: scanning target organ data of a patient in an operation to obtain image data in the operation, and constructing a corresponding three-dimensional point cloud model in the operation based on the image data in the operation; rigid body transformation parameters of the preoperative three-dimensional point cloud model and the intraoperative three-dimensional point cloud model are determined through an ICP registration algorithm, and the preoperative three-dimensional point cloud model and the intraoperative three-dimensional point cloud model are registered based on the rigid body transformation parameters. The embodiment of the invention aims at improving the real-time performance and the accuracy of target organ model registration, and further improving the accuracy and the real-time performance of surgical navigation.

The application discloses a use of Ejiao Qianggu oral liquid in regulating immunity, and particularly relates to an improving effect of the Ejiao Qianggu oral liquid on an immune system, which is realized by the following aspects. On one hand, the Ejiao Qianggu oral liquid promotes proliferation and transformation (mainly early T lymphocytes and part of B lymphocytes) and active functions of spleen lymphocytes; on the other hand, the Ejiao Qianggu oral liquid improves phagocytosis of macrophages. The Ejiao Qianggu oral liquid has the following characteristics: firstly, the Ejiao Qianggu oral liquid acts on early lymphocyte maturation, and has no significant effect on proliferation of peripheral blood lymphocytes; secondly, the Ejiao Qianggu oral liquid can significantly act on immune target organs, thymus and spleen tissues, and does not excessively stimulate the spleen, unlike positive drugs such as colony stimulating factor which can cause significant edema of the spleen; and thirdly, the Ejiao Qianggu oral liquid has a significant recovery effect on body weight, white blood cells, lymphocytes, red blood cells and hemoglobin in blood of patients with low immunity.

The present invention is an improvement in Lipid Nanoparticles (LNPs) for re-routing their distribution from the liver and spleen (the non-target organs) to hard-to-deliver targets such as the brain and other tissues for drug delivery. Specifically, the invention derivatizes or otherwise modifies LNPs to provide the surface or constituency thereof with “Ionic Liquid” (IL) so that the IL-LNP incorporates an ionizable lipid such as a cationic ionizable lipid, an optional helper lipid, cholesterol and a (true) ionic liquid component. Among other benefits of the inclusion of “Ionic Liquid” is to decrease the delivery of LNPs to the body's filtering organ—the liver—and thereby re-route delivery to other target organs.

The present invention relates to a 68 Ga-labeled exendin 4 radioactive probe [ 68 Ga]Ga‑C 12 ‑HBED‑CC‑MAL‑Cys 39 ‑Exendin‑4 and its preparation method belong to the technical field of radiopharmaceutical chemistry; its structural formula is as follows: #imgabs0# The labeling time of the radioactive probe of the present invention is 10 minutes, the labeling yield is greater than 98%, the radiochemical purity of the product determined by radio‑HPLC is greater than 98%, the product shows high affinity and high specificity for the glucagon-like peptide‑1 receptor, has a higher target organ uptake and a longer blood circulation time, and is a more potential glucagon-like peptide‑1 receptor imaging agent.

The invention discloses an intraoperative organ displacement real-time sensing method based on multi-modal fusion and a related device. The method comprises the following steps: firstly, synchronously acquiring optical, electromagnetic and blood flow signal data; then magnetic field intensity characteristics of the electromagnetic data are extracted, and filtering processing based on Kalman filtering and neural network weighted fusion is selectively carried out on the electromagnetic data according to the magnetic field intensity characteristics; thirdly, according to the real-time signal quality, the historical precision and the anatomical region attribute of the target organ, confidence coefficients are dynamically distributed for the three kinds of data; and finally, performing spatial registration on the multi-modal data based on the weight, and calculating final pose data of the organ. According to the invention, through intelligent filtering and dynamic weight distribution, robustness, anti-interference capability and positioning precision of organ displacement sensing in a complex operation environment are effectively improved.