1448 results about "Contrast medium" patented technology

The invention is a delivery catheter, e.g., a guide catheter, having an imaging element in proximity to the distal end of the catheter. Catheters of the invention are able to placement of the catheter in proximity to an ostium, thereby increasing the efficiency of contrast delivery while reducing the risk of ischemia due to blocked blood supply. The invention additionally assists in maintaining catheter position during delivery of a fluid from the catheter, resulting in better performance with less fluid. For example, a catheter of the invention can be used to produce improved fluoroscopic images with less overall contrast. This improvement reduces the risk of an allergic reaction to the contrast while decreasing the length of time for a procedure, i.e., because of a need to re-contrast.

The invention provides a folate receptor targeting small molecule compound, a preparation method, a composition and application. Specifically provided is a compound represented by formula I or a pharmaceutically acceptable salt thereof. The compound or the pharmaceutically acceptable salt thereof provided by the invention can be used as a small-molecule targeting fluorescence contrast agent for assisting surgical treatment, has the advantages of novel structure, good solubility, small steric hindrance and strong targeting property, can obviously improve the view field of tumor surgery, and is beneficial to efficiently and accurately implementing excision of pathological tissues such as tumor tissues, boundary tissues and the like. # imgabs0 #

A method comprises receiving a user input to select a first point and a second point from a medical image, extracting a plurality of blood vessel regions from a plurality of frame images of the medical image, determining a plurality of first regions associated with the first point and a plurality of second regions associated with the second point, determining a first frame image and a second frame image with the contrast agent arriving at the first point and the second point, based on a change in pixel intensity for each of the plurality of first regions and the plurality of second regions, and computing the blood flow velocity from the first point to the second point based on a time interval between the first frame image and the second frame image and on a distance between the first point and the second point.

A device for treating a diseased native valve in a patient is provided, the device including a frame structure and a plurality of leaflets. The device can further include a spiral anchor configured to extend around an outer circumference of the frame structure. The anchor can be configured to deliver a contrast agent into or near a target tissue. Other embodiments and methods of use are also provided.

The invention discloses a multi-fluorescence imaging device capable of adjusting visual field area and optical tomography, which comprises a multi-wavelength light source, the multi-wavelength light source comprises a wavelength variable light source or a light source array, and the wavelength variable light source and the light source array are independent and can realize multi-wavelength output. The optical fibers are mounted on the multi-wavelength light source and transmit light according to different wavelengths, the optical fibers are circularly placed at certain intervals, and the diameter of the optical fibers is changed according to applied voltage and applied temperature to form an annular magnetic disk. The wavelength of the exciting light can be freely adjusted by utilizing a multi-wavelength light source or realizing the exciting light with variable wavelength, a plurality of contrast agents are excited to obtain a multi-wavelength fluorescence image, the characteristics of the plurality of contrast agents can be simultaneously observed, and the universal fluorescence imaging device is widely applied to multi-antigen analysis and treatment. The method can be used for measuring lesion light cross-sectional images and has the advantage of analyzing lesion cross-sectional structures in real time.

The present invention relates to ultrasound (US) mediated delivery of therapeutic agents, such as the delivery of a drug, gene, nanoparticle or radioisotope, using a bi-phasic microparticle system comprising gas microbubbles, emulsion microdroplets and clusters thereof. Thus, the present invention relates to a cluster composition and a pharmaceutical composition, and their use for delivery of therapeutic agents and as a contrast agent for ultrasound imaging. It further relates to methods for delivering such therapeutic agents and to the use of said compositions.

The invention provides a focused ultrasound blood brain barrier opening effect prediction method and system, a medium and a terminal, and the method comprises the steps: carrying out the preprocessing of all collected acoustic signal data, and constructing a training data set based on the blood brain barrier opening effect data; training a deep learning model by using the training data set to construct a blood brain barrier prediction model; and on the basis of the blood brain barrier prediction model, predicting the permeability of the blood brain barrier according to the obtained real-time acoustic signal data of the ultrasonic contrast agent in the process of regulating and controlling the blood brain barrier so as to output a blood brain barrier opening effect prediction result. The acoustic signals are analyzed based on the artificial intelligence algorithm, a magnetic resonance contrast agent does not need to be injected, the long-time scanning process is avoided, safe and rapid prediction of the blood brain barrier permeability is achieved, and the test cost is reduced. Compared with a dye tracing method, the blood brain barrier permeability prediction method based on artificial intelligence does not need to perform any operation on a target test, is convenient and rapid, and has a living body detection capability.

Methods and systems are provided for improving image quality without increasing dose of contrast agent. The method comprises: (a) receiving an input image comprising a pre-contrast image and a full-dose image, the pre-contrast image is a volumetric medical image of a subject acquired without administering contrast agent and the full-dose image is a volumetric image of the subject acquired with standard dose of contrast agent; (b) selecting a path from a plurality of paths to process the input image, the path comprises at least a first model trained to predict a contrast-enhanced image, and a second model trained to denoise an image and wherein the first model and the second model are arranged in a predetermined order to process the input image; generating a predicted image by processing the input image using the path selected in (b), the predicted image has an image quality improved over the input image.

A method for obtaining a contrast distribution includes acquiring pre-contrast spectral data before contrast is administered, acquiring post-contrast spectral data after the contrast is administered, and generating at least one material basis map for at least one material by joint processing the pre-contrast spectral data and the post-contrast spectral data to solve for a pre-selected number of unknowns corresponding to the at least one material associated with the at least one material basis map. The method also includes where the joint processing enables visualization of contrast distribution from contrast agent injection or drug delivery contrast agents, and where the at least one material basis map includes the contrast distribution.

For a biopsy guided by contrast-enhanced x-ray imaging, a breast imaging system may image a patient's breast subsequent to injection of contrast agent to locate a site for biopsy and / or position a biopsy device relative to the site. Once a tissue specimen is removed from the site for diagnostic evaluation, a confirmation that the specimen was removed from an intended area of interest for biopsy is performed using the systems and methods described herein. For example, the breast imaging system and / or a separate specimen imaging system may capture high and low energy images of the specimen, subtract the low energy image from the high energy image to generate a subtracted image of the specimen, and determine, based on the subtracted image, that the contrast agent is present within the specimen to confirm the site from which the specimen was removed is the intended site for biopsy.

The invention belongs to the technical field of medical image processing, and discloses a blood vessel segmentation reconstruction and bleeding analysis method and device. In the bleeding area detection model, detecting whether a bleeding area exists or not; and performing blood vessel segmentation and blood vessel three-dimensional reconstruction operation. According to the method, the time sequence image is adopted for comprehensive analysis, and the problems that blood vessel details are lost due to insufficient diffusion of a contrast agent and the image is blurred due to excessive diffusion are effectively solved. Based on an 8-neighborhood pixel tracking method, accurately identifying blood vessel cross points, and performing segmentation processing on the skeleton line by using the cross points. By constructing the topological structure of the blood vessel, the feature point matching efficiency is greatly improved, and the automatic three-dimensional reconstruction process is also realized. By introducing the architecture design of the hybrid convolutional neural network and the state space model, the local fine-grained feature extraction capability and the global long-range dependence modeling capability are effectively combined, so that the segmentation precision and robustness of the intracranial hemorrhage region are remarkably improved.

The invention relates to the technical field of ultrasound contrast, in particular to an ultrasound contrast T-tube sinus tract recognition method based on deep learning. The method comprises the following steps: firstly, collecting contrast agent parameters, ultrasonic equipment parameters and clinical information, adjusting a prediction model by utilizing the contrast agent parameters, and optimizing the contrast agent parameters in combination with the clinical information; and then, acquiring an ultrasonic contrast image of the T-tube sinus tract according to the updated contrast agent parameters and the ultrasonic equipment parameters. Thirdly, preprocessing the T-tube sinus tract ultrasonic contrast image, inputting the preprocessed T-tube sinus tract ultrasonic contrast image into the multi-task ultrasonic contrast image enhancement model, and performing image enhancement and adaptive adjustment in combination with ultrasonic equipment parameters; and finally, constructing an ultrasound contrast image multi-stage classification identification model, identifying the T-tube sinus tract ultrasound contrast enhanced image to obtain a T-tube sinus tract identification result, and combining clinical information to assist medical personnel in diagnosis. According to the invention, the T-tube sinus tract identification precision and accuracy can be improved.

The invention discloses nanoparticles for a contrast agent as well as a preparation method and application of the nanoparticles, and relates to the technical field of nano composite materials. According to the nanoparticle for the contrast agent, a shell layer comprises polydopamine and albumin which are connected through a covalent bond, a core structure comprises a complex formed by metal ions and polyphenol, and the metal ions in the core structure and the polydopamine in the shell layer also have a coordination effect. Due to the fact that all the components are tightly connected, the rotation time of the nano-particles is prolonged, the T1 relaxation rate of the nano-particles is greatly increased, meanwhile, due to introduction of polydopamine, release of metal ions in a human body is avoided, the biological safety of the nano-particles is improved, albumin in the nano-particles can further improve the biocompatibility of the particles, and the nano-particles can be used for preparing the nano-particles. Therefore, the nanoparticles provided by the invention also have wide application prospects in the fields of fluorescence imaging and targeted drug delivery.

The invention discloses a vascular access lesion recognition method and system based on target detection, and relates to the technical field of medical image processing, and the method comprises the steps: carrying out the cardiac cycle phase division according to an electrocardiogram signal, calculating a displacement vector field between adjacent frames of a blood vessel DSA image sequence, constructing a motion compensation model, and generating a stable DSA sequence; segmenting the stable DSA sequence into binary vascular mask images through a U-Net segmentation model, tracking motion displacement of contrast agent particles in continuous frames by using a particle image velocimetry algorithm, generating a blood flow velocity vector field, and calculating an eddy current intensity feature map; and carrying out channel cascading on the binarized blood vessel mask image and the vortex intensity feature map to generate a blood vessel feature tensor, and generating a lesion detection result by improving a YOLOv7 model. According to the method, the accuracy, robustness and clinical applicability of vascular disease recognition are improved, and a technical closed loop from multi-modal data processing to automatic diagnosis report generation is realized.

The invention discloses an ultrasonic molecular probe. The ultrasonic molecular probe comprises a targeted contrast agent and siRNA of fibronectin, wherein the targeted contrast agent and the siRNA are connected through G0-C14; the targeted contrast agent comprises gas vesicles covalently linked with annular polypeptide, and the annular polypeptide targets an atherosclerotic plaque region. The cyclic polypeptide can be combined with the outer structural domain B of fibronectin with high specificity, and the atherosclerotic plaque extracellular matrix is rich in the outer structural domain B of the fibronectin, so that enough targeted ultrasonic contrast agent can be quickly combined in the plaque region to generate strong signal enhancement in ultrasonic imaging, and on the basis, the targeted ultrasonic contrast agent can be quickly combined with the plaque region to generate strong signal enhancement in ultrasonic imaging. The ultrasonic molecular probe releases siRNA for atherosclerotic plaque treatment, and atherosclerotic plaque diagnosis and treatment integration is achieved. The invention further discloses a preparation method of the ultrasonic molecular probe and application of the ultrasonic molecular probe in preparation of atherosclerotic plaque diagnostic agents, drugs and drug delivery agents.

The application discloses a multi-marked endoscopic imaging lens for digestive tract, and belongs to the field of biomedical microscopic endoscopic imaging. The endoscopic imaging lens comprises a first lens, a second lens, a third lens, a fourth lens, a fifth lens, a sixth lens and a seventh lens; the first lens focuses laser; the second lens is matched with the first lens to limit a light beam in an effective light aperture of the lens; the third lens corrects chromatic aberration; the fourth lens and the fifth lens are combined to correct aberration; the sixth lens adopts an aspheric lens to correct spherical aberration caused in a collimating and focusing system; and the seventh lens is matched with the sixth lens to correct chromatic aberration. The working spectral range of the microscopic objective lens group is 488-860 nm, the effective light aperture is less than 1.8 mm, the mechanical outer diameter is not greater than 2.6 mm, the numerical aperture at the object side or the tissue is 0.55, the imaging field of view is 450 microns, the magnification is 2.14 times, and the working distance is 84 microns. The effect of matching excitation and fluorescence spectrum of a clinically available fluorescence contrast agent is realized.

Systems, components, and methods for generating differential phase contrast (DPC) data are described. Methods include operations for directing the beam of electrons through a material sample disposed in the microscope column, wherein interactions of the material sample and the beam of electrons produce a scattered portion of the beam of electrons. The methods include directing the scattered portion onto the energy filter, the energy filter being configured to disperse the scattered portion along a dispersal axis by energy and to direct a subset of the scattered portion toward a detector of the energy filter. The operations include generating detector data using the subset of the scattered portion incident on the detector, the detector data comprising EELS data. The operations also include generating differential phase contrast data using the detector data.

The invention discloses a method for constructing a prediction model of fluid mechanics flow field velocity. The method comprises the following steps: acquiring a large number of coronary artery CTA images of coronary heart disease patients, and respectively constructing 3D blood vessel geometric models; setting different inlet flow rates and physiological pressure boundary conditions in different 3D blood vessel geometric models, and performing CFD simulation to obtain simulation results; inputting the obtained contrast agent particle concentration 3D point cloud in the flow field, the actual flow field speed and the coronary artery model 3D point cloud into a PDMNN neural network for learning; and encoding the advection diffusion equation to a loss function, and driving the PDMNN neural network to calculate convergence by using the relationship between the contrast agent concentration and the fluid velocity to obtain a prediction model of the fluid mechanics flow field velocity. Through the prediction model constructed by the method, the prediction effect can be more accurately and quickly realized, and meanwhile, the method can face different geometric models and different boundary conditions.

The invention discloses an intracranial aneurysm rupture risk assessment method, device and equipment and a storage medium, and the method comprises the steps: firstly, generating a time sequence image containing flow field information based on the maximum density projection and center line extraction processing of a two-dimensional angiography image sequence in combination with contrast agent concentration change curve analysis; performing three-dimensional reconstruction, region-of-interest extraction and opening extension processing by using the three-dimensional image sequence to obtain detailed morphological parameters and a region-of-interest model after extension processing; secondly, displaying a time sequence image with flow field information and a region-of-interest model of which an opening is not prolonged in an overlapping manner, further optimizing setting of boundary conditions and performing hydrodynamic simulation by calculating a flow field vector in an observation ball and determining an actual blood flow direction, and calculating key hemodynamic parameters; and finally, in combination with the morphological parameters, the hemodynamic parameters and clinical information of the patient, obtaining an evaluation result of the aneurysm rupture risk.

The invention relates to the technical field of medical data processing, and discloses a non-invasive hemodynamic assessment system for coronary artery stenosis degree, comprising an image acquisition module used for acquiring a coronary artery computed tomography angiography image of a patient; the physiological signal acquisition module is used for synchronously acquiring physiological signals of a patient, and the physiological signals comprise electrocardiosignals and non-invasive arterial blood pressure signals; and the data processing module is used for preprocessing and segmenting the coronary artery computed tomography angiography image. Electrocardiogram and non-invasive arterial blood pressure signals are collected through the sensor, risks and complications caused by invasive examination of traditional coronary artery radiography are avoided, the problem that patients unsuitable for invasive examination such as contrast agent allergy and renal insufficiency are difficult to evaluate is solved, the pain of the patients is relieved, and the acceptability of the patients is improved.

The present invention relates to the nanoparticles (NP) of the invention, compositions thereof and their use as therapeutic agents, in particular in the field of oncology and / or as imaging agents. The NPs consist of first nanoparticles of at least one high-Z metal oxide material, to which smaller second nanoparticles are covalently bonded at the surface of the first nanoparticles. The second nanoparticles consist of a) at least one noble metal or at least one metal oxide, metal sulfide, metal selenide or metal sulfide / selenide as a Fenton or Fenton-like reaction catalyst. The NPs of the invention produce a surprising therapeutic effect when exposed to ionizing radiation such as X-rays, gamma-rays, protons, neutrons, radioisotopes and / or electron beams. Therefore, these NPs can be used as radiosensitizers in the field of oncology. These nanoparticles can also be used as contrast agents.

The invention is suitable for the technical field of ultrasonic imaging, and provides a three-dimensional ultrasonic imaging method and system, computer equipment and a computer program product, and the method comprises the steps: transmitting a multi-angle composite plane wave sequence to a target region through a one-dimensional ultrasonic array with the frequency gradual change characteristic in the elevation direction, and receiving a reflected echo signal sequence, generating a target gray-scale image sequence corresponding to the echo signal sequence, acquiring coordinates of each ultrasonic contrast agent microbubble in each frame of gray-scale image, generating a two-dimensional coordinate set, calculating the axial half-peak full width of a point spread function region of each ultrasonic contrast agent microbubble, and calculating the axial half-peak full width of the point spread function region of each ultrasonic contrast agent microbubble; determining the coordinate of each ultrasonic contrast agent microbubble in the elevation angle direction based on the axial half-peak full width, generating an elevation angle coordinate set, and generating a three-dimensional contrast image of the target area based on the two-dimensional coordinate set and the elevation angle coordinate set. According to the method provided by the invention, the problem that three-dimensional ultrasonic imaging is limited by the surface ultrasonic array can be solved, and low-cost, simple and efficient three-dimensional ultrasonic imaging based on the one-dimensional ultrasonic array is realized.

A solution for training a machine learning model (305) for use in medical imaging applications is presented. A corresponding method (400) includes providing (403-410) an incomplete sample set for each imaging process, each incomplete sample set including one (or more) sample target images and one (or more) sample baseline images for a sample target dose of contrast agent. One (411-445; 450-456) sample source images are simulated (411-445; 450-456) from each of the incomplete sample sets (or a portion thereof) to mimic contrast agent at a sample source dose that is lower than the sample target dose. One or more complete sample sets are generated (446; 457) for each imaging process by combining the incomplete sample sets with sample source images that have been simulated from other incomplete sample sets. The machine learning model (305) is then trained (458-473) using the complete set of samples. Further, a method of using a machine learning model in medical imaging applications is presented. A computer program (300) and a computer program product for implementing a method (400) are presented. Furthermore, a computing system (130) for executing the method (400) is presented. A corresponding medical method is also presented.

The invention belongs to the technical field of medical imaging, and discloses an angiography high-pressure injection system which comprises the following steps: acquiring physiological data information of a patient, and calculating an individualized contrast agent injection parameter coefficient based on the physiological data information; acquiring anatomical structure information of a blood vessel region of the target patient, and performing pressure evaluation based on hemodynamic characteristics to obtain blood vessel pressure bearing capacity and injection pressure regulation factors; performing physiological status assessment based on the physiological data information of the patient to obtain a physiological status influence factor and generate a risk marker value; performing multi-source data fusion according to the injection pressure regulation factor, the physiological status risk marker value and the historical radiography record, and constructing the radiography safety degree of the blood vessel sub-region; an optimal injection parameter path is obtained based on the radiography safety degree in combination with a deep reinforcement learning algorithm, and high-pressure injection equipment is controlled to execute injection operation; according to the invention, accurate and personalized control of contrast agent injection is realized, and the safety and imaging effect of contrast examination are remarkably improved.

The invention relates to the technical field of OCT imaging, and discloses an OCT automatic control system and method, and the system comprises a pushing and injecting device which is used for pushing and injecting a medium to be pushed and injected into a blood vessel through an injector connected with a catheter; the OCT pullback device is used for rotating the pullback catheter; and the OCT control module is connected with the injection device and the OCT pull-back device, is used for sending an injection instruction to the injection device and is also used for sending a pull-back instruction to the OCT pull-back device. The OCT control module is used for sending the control instruction, automatic synchronous work of the injection device and the OCT pull-back device can be achieved, injection of the contrast agent is accurately controlled, waste of the contrast agent and influence on life safety of a patient are avoided, meanwhile, OCT imaging quality can be effectively improved, and then the accuracy of subsequent diagnosis result judgment is improved.

The invention discloses a focused ultrasound transcranial nerve regulation and control platform and method based on photoacoustic imaging. The system comprises a synchronous pulse generator, a pulse ultrasound transmitting system, a photoacoustic signal collecting system and a fixing device. According to the method, the limitation of other imaging monitoring modes is overcome, monitoring is carried out by utilizing the characteristics of non-invasiveness, high resolution and high contrast of photoacoustic imaging, the TUS progress can be monitored for providing real-time dynamic imaging, and functional information can be provided; photoacoustic imaging is applied to focused ultrasound transcranial nerve regulation for the first time. And meanwhile, by utilizing high sound resolution and high optical contrast of photoacoustic imaging, the strongest photoacoustic signal can be provided in a near-infrared region for hemoglobin of a seat endogenous contrast agent, so that the PAT becomes an ideal imaging tool for detecting cerebral hemodynamics. In addition, key pathophysiological parameters are evaluated through functional imaging provided by the PAT, and the method can be used for evaluating brain changes in the low-intensity focused ultrasound stimulation process.

The present disclosure relates to a model training method, an image reconstruction method, and a related device. A computer device acquires a pre-trained target neural network model, the target neural network model being obtained by training a plurality of groups of training samples by means of a machine learning algorithm, and each group of training samples comprising a CTP image and a CTA image which are paired with each other, wherein the CTP image and the CTA image which are paired with each other correspond to the same selected level of target tissue; a target CTP image is input into the target neural network model, such that the target neural network model reconstructs a target CTA image on the basis of the target CTP image. The blood vessel imaging effect of the target CTA image is close to that of a real CTA image or is even better that that of the real CTA image, thereby providing a real and accurate reference basis for examination of each tissue and organ, and a patient can undergo one less CTA examination, thereby increasing the speed of one-stop CT examination for stroke, avoiding exposure to radiation of one more CTA examination, and reducing one injection of a contrast agent, lowering the risk of side effects generated by the contrast agent.

The invention provides a pulmonary artery embolism imaging method, and relates to the field of magnetic resonance imaging. According to the specific implementation scheme, an acquisition window is determined according to electrocardio data and diaphragm navigation data of an adaptive patient; according to the collection window, original frequency domain data are collected in a Cartesian filling mode; performing phase compensation on the original frequency domain data by utilizing pulmonary artery pulse vector field modeling and a dynamic compensation algorithm to obtain proportionality coefficient spatial data; and performing compressed sensing reconstruction on the proportionality coefficient spatial data to generate a three-dimensional pulmonary artery image. The scheme is used for detecting pulmonary artery embolism in the free breathing state, no contrast agent is needed, radiation is avoided, and the universality of applicable people and the inspection safety are improved. According to the technology, by reducing artifact interference and optimizing image quality and scanning efficiency, rapid and accurate diagnosis is achieved, the comfort level of a patient and clinical diagnosis efficiency are remarkably improved, and the technology has important application value and social benefits.

The embodiment of the invention discloses a long-range blood vessel imaging method and system.The method is applied to C-shaped arm imaging equipment, the C-shaped arm imaging equipment comprises a C-shaped arm, and a ray emitter and a ray detector are arranged at the two ends of the C-shaped arm respectively; the method comprises the following steps: injecting a contrast agent into a blood vessel of a target object; projection data are obtained in a spiral scanning mode through a ray emitter and a ray detector at the two ends of the C-shaped arm; and generating an angiography image based on the projection data.

The present application provides a method for preparing a liquid composition containing Compound I, which comprises a step of purifying a crude product containing Compound I by high performance liquid chromatography, and its use in myocardial perfusion PET imaging, wherein the mobile phase used in the purification step by high performance liquid chromatography contains ethanol and water. By optimizing the process parameters and process flow, it can be applied to large-scale batch activity production and meet the needs of automation. The resulting myocardial perfusion PET contrast agent has high radiochemical purity, high activity concentration, good product stability, and high and stable yield or output.