241 results about "Mri imaging" patented technology

The invention discloses a renal clear cell carcinoma prognosis prediction method based on multi-mode MRI (Magnetic Resonance Imaging) image and digital pathological omics fusion. The method comprises the following steps: S1, collecting a training data set based on an MR image and a pathological image; s2, feature extraction of MR radiomics; s3, deep learning feature extraction of the pathological image; s4, an MR-pathological feature fusion module; and S5, deploying the network. According to the method, depth features with prognosis information are obtained from two scales of pre-treatment images and post-operation pathology, effective features are extracted by adopting image omics and a convolutional neural network mode according to data characteristics of MR images and pathology images, and depth fusion of the two types of features is completed in a hidden space through a multi-task guiding mode, so that the accuracy of the MR image and the pathology image is improved. A precise prognosis model with multi-scale information is provided, and the method has a relatively strong clinical application prospect and is of great significance for realizing precise immunotherapy and improving prognosis of a patient.

A movable medical bed system may include a bed body and a power supply apparatus. The power supply apparatus may include an electrical energy receiver and an electrical energy transmitter. The electrical energy receiver is arranged on the bed body. The electrical energy transmitter is configured to be connected to a power source. The bed body is able to move to a working position relative to the electrical energy transmitter. When the bed body is located at the working position, the electrical energy receiver can engage in electrical energy transmission with the electrical energy transmitter without plugging-in. The movable medical bed system helps to make the supply of power more convenient.

The invention discloses a transcranial stimulation magnetic therapy coil navigation method, a transcranial stimulation magnetic therapy coil navigation system, a storage medium and equipment. The method comprises the following steps: acquiring three-dimensional structure information of the head of a target object, magnetic resonance imaging (MRI) data of an individual target object, or three-dimensional model data obtained by matching from a general MRI template library; real-time surface geometric information of the head of the target object is collected through an infrared optical tracking system; performing registration fusion on the three-dimensional structure information and the real-time surface geometric information, and generating an individualized three-dimensional brain model synchronized with a real space coordinate system on a navigation interface; the spatial position and posture of the optical marker fixed on the magnetic therapy coil are tracked in real time through an infrared optical tracking system and correspondingly mapped to the individualized three-dimensional brain model, and visual navigation of the magnetic therapy coil relative to the brain anatomical structure is achieved. Through the individualized three-dimensional navigation and real-time visualization technology, the problems that a traditional TMS is low in positioning precision, invisible in operation and poor in treatment repeatability are solved.

The embodiment of the invention relates to a processing method and device for predicting ejection fraction retention type heart failure. The method comprises the steps that a deep learning model used for conducting dichotomy prediction on the ejection fraction retention type heart failure is constructed and recorded as a first prediction model; constructing a model data set and recording the model data set as a first data set; training the first prediction model based on the first data set; after model training is finished, heart structure feature analysis, heart hemodynamic feature analysis and left ventricle vortex time sequence feature analysis are conducted on four-dimensional blood flow heart magnetic resonance imaging data input by a user to obtain a corresponding structure feature set, and the hemodynamic feature set and the vortex time sequence feature form a corresponding first feature data set; and inputting the first feature data set into a first prediction model for prediction to obtain a corresponding first classification vector which is fed back to the current user. According to the invention, the prediction accuracy and the prediction efficiency can be improved.

The invention relates to the field of artificial intelligence, in particular to an artifact elimination and image correction control system in MRI (Magnetic Resonance Imaging), which comprises a data acquisition and preprocessing module, a hardware correction module, an artifact detection and classification module and an artifact correction and removal module. Through feature extraction and standardization processing, the accuracy of artifact detection and classification is improved; in the artifact correction and removal module, complex artifacts in an MRI image are removed by using an adversarial optimization process, the definition and contrast of the image are remarkably improved, in addition, a unit based on time sequence processing is also integrated, spatial-temporal features are extracted from a 2D image sequence, key information is provided for 3D reconstruction, the quality and diagnosis accuracy of the MRI image are remarkably improved, and the imaging quality of the MRI image is improved. And important technical support is provided for the development of clinical medical imaging.

The invention provides a nano-drug for targeted diagnosis and treatment of atherosclerotic plaque, the nano-particles are constructed by EGCG, formaldehyde and L-arginine, the antioxidant characteristic of EGCG is retained, and the nano-drug constructed by modifying Mn < 2 + > and DKK1 antibodies on the basis has a good relaxation value and can be used for an atherosclerotic plaque specific MRI imaging enhancer; the Cy5-labeled nano-drug can be used for an atherosclerotic plaque specific in-vivo imaging developer. The nano-drug provided by the invention has good biological safety, can delay plaque development and improve plaque stability, and is a nano-drug for precisely targeting atherosclerotic plaque and treating the atherosclerotic plaque.

The invention relates to a prostate tumor thermal therapy device and method, the device comprises particles heating under the action of a magnetic field, and is characterized by further comprising an imaging positioning module, a particle implantation module, a particle fixing module, a magnetic field excitation module and a control and display module, the imaging positioning module comprises a multi-mode imaging device composed of an ultrasonic imaging unit, a CT scanning unit and an MRI imaging unit, and the multi-mode imaging device at least adopts two devices of the ultrasonic imaging unit, the CT scanning unit and the MRI imaging unit to construct a three-dimensional model of the prostate and the tumor. Through the arrangement, particles can be accurately positioned and fixed, the operation precision is improved, and the operation difficulty is reduced.

Systems, methods, and computer software relating to gating using non-parallel imaging planes, determining accumulated dose to tissues during radiotherapy with actual beam delivery information, stopping / adjusting / reoptimizing therapy based on such accumulated doses and the generation and use of prognostic motion models and prognostic-motion adapted radiation treatment plans are disclosed.

Methods, systems, and devices are described for reconstructing spatially resolved electrical activity in the brain. In some example embodiments, EEG and MRI data are used to estimate volumetric distribution of electrostatic potential inside the MRI domain throughout the entire brain. Spatially and temporally varying field estimates can be generated using a brain wave model which is based on weakly evanescent transverse cortical wave propagation and constrained using the tissue properties gained from the MRI data. The disclosed techniques enable brain activity imaging with high spatial and temporal resolution, thereby providing a tool for assessing functional brain states and monitoring changes in those states in relation to various normal and pathological conditions.

The invention relates to the technical field of biomedical engineering. The invention discloses a triggering method and device of magnetic resonance imaging equipment based on multi-modal signal fusion, terminal equipment and a storage medium. The accuracy of triggering the magnetic resonance imaging equipment to collect images can be improved. The method comprises the following steps: acquiring a first morphological characteristic of a heart vibration signal of a target object, a second morphological characteristic of a jugular vein pulse signal and a third morphological characteristic of a photoelectric volume pulse wave signal; constructing a heterogeneous graph based on the first morphological feature, the second morphological feature and the third morphological feature; performing global graph feature vector extraction processing on the heterogeneous graph by adopting a heterogeneous graph attention network to obtain a target global graph feature vector; and performing time prediction processing on the target global map feature vector by adopting a trigger control model to obtain target time, and triggering magnetic resonance imaging equipment to collect images when the target object is in the middle and later period of cardiac diastole based on the target time.

An aqueous pharmaceutical composition including compound having the formula of tetragadolinium [4,10-bis(carboxylatomethyl)-7-{-3,6,12,15-tetraoxo-16-[4,7,10-tris(carboxylatomethyl)-1,4,7,10-tetraazacyclododecan-1-yl]-9,9-bis({[({2-[4,7,10-tris(carboxylatomethyl)-1,4,7,10-tetraazacyclododecan-1-yl]propanoyl}amino)acetyl]amino}methyl)-4,7,11,14-tetraazaheptadecan-2-yl}-1,4,7,10-tetraazacyclododecan-1-yl]acetate wherein the stereochemistry at the chiral carbon of the four alanine substituents is selected from the group consisting of RRRR, SSSS, RSSS, RRSS, and RRRS stereoisomers, and racemic and diastereomeric mixtures of any thereof, or a tautomer, a hydrate, a solvate, or a salt thereof, or a mixture of same is described. The compounds may be used as an MRI contrast imaging agent.

The invention relates to a preparation method and application of a targeted pancreatic cancer immune checkpoint diagnosis and treatment integrated nanoprobe, which can realize integration of sonodynamic therapy and MRI imaging of pancreatic cancer cells with high expression of VISTA, realize targeted SDT therapy of pancreatic cancer and visual evaluation of the therapeutic effect, have good biological safety, and can be applied to diagnosis and treatment of pancreatic cancer cells with high expression of VISTA. SDT visual treatment of targeted pancreatic cancer is realized at a cellular level, and SDT combined immunotherapy of pancreatic cancer is realized at an animal level. The method comprises the following steps: (1) preparing Fe3O4 nanoparticles by using a solvothermal method; (2) preparing Fe3O4 (at) SiO2 nano particles; (3) preparing Fe3O4 (at) SiO2 (at) TiO2 nano particles; (4) preparing Fe3O4 (at) TiO2 by adopting an alkaline hydrothermal corrosion auxiliary crystallization method; and (5) modifying the nanoprobe with a VISTA antibody through an electrostatic adsorption method, and finally successfully constructing the garland-shaped nanoprobe.

Low-molecular weight gadolinium (Gd)-based MR contrast agents for PSMA-specific T1-weighted MR imaging are disclosed. The (Gd)-based MR contrast agents exhibit high binding affinity for PSMA and exhibit specific T1 contrast enhancement at PSMA+ cells. The PSMA-targeted Gd-based MR contrast agents can be used for PSMA-targeted imaging in vivo. 86Y-labeled PSMA-binding ureas also are provided, wherein the PSMA-binding ureas also are suitable for use with other radiotherapeutics.

The invention relates to the technical field of biomedical imaging, in particular to an electron paramagnetic resonance imaging acceleration method and system, and the method comprises the steps: reconstructing an EPRI image from a projection collected from a sparse view through employing an FBP algorithm, and obtaining a first reconstructed image; the first reconstructed image is input into a pre-trained double-attention Transform network model, and a second reconstructed image is obtained; and combining the first reconstructed image and the second reconstructed image, taking the combined image as a guide condition of a reverse generation process of a conditional diffusion model, and obtaining a final reconstructed EPRI image by utilizing the reverse generation process of the conditional diffusion model. According to the scheme, the strip artifacts in the EPRI image sparsely reconstructed by the FBP algorithm can be suppressed to the maximum extent.

Disclosed is a method for determining a treatment to be applied to a brain of a patient, such as determining a transcranial magnetic stimulation (TMS) treatment location(s) and treatment strength to be applied to a brain of a patient suffering from depression. A search of the brain, based on coarse-scale parcellations, treatment metric and one or more anatomical metrics, is conducted to select the treatment location(s). In one embodiment, this involves progressively varying a value of a parameter associated with a gyrus threshold and for each value, identifying candidate treatment locations based on a functional connectivity of a subgenual anterior cingulate cortex during resting-state functional magnetic resonance imaging (fMRI) recorded over a plurality of multimodal brain imaging sessions, and selecting as the respective treatment location the candidate location that is closest to all other candidate treatment locations.

The invention discloses a cerebral artery blood flow velocity prediction method, device and equipment and a medium, and relates to the field of blood flow velocity prediction.The method comprises the steps that cerebral artery nuclear magnetic imaging data are obtained and preprocessed; performing image segmentation to obtain a cerebral artery three-dimensional model; extracting geometric topology information of the cerebral artery; constructing a 0-1-dimensional geometric multi-scale model of the crowd averaged cerebral artery; determining entrance boundary conditions of the 0-1-dimensional model to obtain a 0-1-dimensional patient personalized hemodynamic model; according to a clinical preset contrast agent concentration-time curve and based on the law of conservation of mass, a 0-1-dimensional patient personalized hemodynamic model is used for simulating a contrast agent injection process, and a contrast agent concentration-time curve of each position in the cerebral artery topology network is obtained; based on the concentration data of the contrast agent at the near end and the far end of the target blood vessel, the flow velocity of the contrast agent at different blood vessel segments of the cerebral artery is determined, and the method can be suitable for blood flow velocity estimation of an artery system with a complex topological structure.

The invention discloses an iron-based metal nano diagnosis and treatment agent as well as a preparation method and application thereof. The iron-based metal nano diagnosis and treatment agent comprises an iron-based metal nano material and a diagnosis and treatment agent loaded with therapeutic nuclide 177Lu and / or a micromolecular chemotherapeutic drug F16. The iron-based metal nano diagnosis and treatment agent contains an iron element, can be used for MRI imaging and can induce tumor ferroptosis at the same time, radionuclide 177Lu can emit gamma rays for SPECT imaging and can emit beta rays for tumor internal radiotherapy, tumor mitochondria targeting small molecule medicine F16 has the fluorescence characteristic and can be used for tumor real-time fluorescence imaging, and the application range is wide. Meanwhile, a mitochondrial targeting tumor killing effect is achieved. Therefore, the iron-based metal nano diagnosis and treatment agent disclosed by the invention can realize comprehensive collaborative treatment of intratumor radiotherapy, targeted chemotherapy and ferroptosis under the guidance of MRI (Magnetic Resonance Imaging), SPECT (Single Photon Emission Computed Tomography) and multi-mode imaging of fluorescence imaging, and improves the precise diagnosis and treatment of tumors.

The present invention relates to the field of liver imaging using MRI. In particular, the present invention provides means to estimate the variability in liver water R1 and R2* with reference to liver water, iron and fat content. Disclosed is a method of liver imaging comprising the following stages: 1. input stage; 2. T2* fat-correction stage; 3. generation of simulated MOLLI signals stage including: (a) LIC-LWC relaxation rate i) estimating the influence of LWC on R1 and R2* ii) estimating the influence of LIC on R1 and R2* iii) healthy-liver reference water R1, LIC, and R2* values; and (b) estimation of water T2 and (c) generating a dictionary of simulated MOLLI signals; 4. signal matching stage; 5. water T1 iron correction stage; and 6. water T1 standardisation stage including : (a) water T1 field strength correction; b) water T1 vendor correction.

The invention discloses a carbon-doped molybdenum-based MOF (Metal Organic Framework) derived porous MRI (Magnetic Resonance Imaging) probe as well as a preparation method and anti-infection application thereof, and belongs to the technical field of nano medicines. According to the scheme, the method comprises the steps that a copper-molybdenum-based precursor is subjected to high-temperature sintering in an inert atmosphere, then NH3 is introduced, heat preservation is continued, a nitridation reaction is promoted, and a carbon-doped MoN MOF material is prepared; and immersing the material into a gadolinium salt solution, stirring, centrifuging, washing and drying to obtain the gadolinium ion-loaded porous MRI probe. According to the invention, efficient loading and stable fixation of gadolinium ions are realized, and the MRI imaging contrast ratio is improved while the biotoxicity risk is reduced. The porous skeleton structure is combined with the carbon doping design, so that the structural stability of the material in a biological environment is enhanced, and the performance maintenance of the probe during long-term use in vivo is ensured. The conductive network formed by the nitridation reaction further optimizes the magnetic response characteristic, and provides a basis for high-sensitivity imaging.

The invention relates to a gulcomannan modified mesoporous dopamine targeted multifunctional nano diagnosis and treatment agent and preparation and application thereof.The targeted multifunctional nano diagnosis and treatment agent comprises a carrier and lovastatin, the carrier is a manganese ion coordinated mesoporous polydopamine carrier, and the surface of the carrier is modified with gulcomannan. The diagnosis and treatment agent has a good drug loading rate and a good delivery effect, overcomes the defect of low oral absorption rate of single lovastatin, can carry out MRI imaging monitoring, and provides a new thought for integration of diagnosis and treatment of liver cirrhosis.

The invention relates to the field of medicine. In particular, the present invention relates to a protein-based biosensor comprising a substrate binding protein that binds to an MRI contrast agent by a chelating agent. More specifically, the present invention relates to a glutamic acid biosensor comprising a glutamic acid binding protein bound to an MRI contrast agent, characterized in that the glutamic acid binding protein comprises SEQ ID NO: 10, preferably SEQ ID NO: 5, and a sequence encoding a fluorescent protein.

The invention discloses an in-situ quantification and multi-scale positioning characterization method for CO2 injection oil displacement recombination analysis, and relates to the technical field of petroleum and natural gas exploration and development, and the method comprises the following steps: initial state calibration and reference acquisition; gas injection displacement and dynamic damage introduction; carrying out in-situ thermal remelting treatment; and performing multi-dimensional quantitative evaluation. The method has the beneficial effects that an'in-situ thermal remelting 'strategy is introduced, and the absolute mass of the precipitate can be directly calculated by establishing the relationship between the remelting state total signal Shot and the precipitation state total signal Scold; a multi-scale characterization system of micro pores and macroscopic cores is established, and the specific pore diameter interval of blockage is accurately identified by using the pore diameter resolution capability of the T2 spectrum; and by adopting an in-situ MRI (Magnetic Resonance Imaging) + quantitative matrix correction technology, non-destructive and full-vision-field monitoring on precipitate distribution is realized, and the spatial distribution rule of the precipitates in the rock core is intuitively revealed.

A gradient coil unit surrounding a cylindrical patient receiving region and including a hollow cylindrical primary coil and a hollow cylindrical secondary coil surrounding the primary coil and the patient receiving region in a coaxial manner, having a first longitudinal end in a longitudinal direction, which is designed to receive an examination object, and a second longitudinal end lying opposite the first longitudinal end in the longitudinal direction, the primary coil having a first length in the longitudinal direction delimited by a first longitudinal position facing the first longitudinal end, and a second longitudinal position, the secondary coil having a second length delimited by a third longitudinal position facing the first longitudinal end, and a fourth longitudinal position, wherein the first length is shorter than the second length and the first longitudinal position has a greater spacing with respect to the first longitudinal end than the third longitudinal position.

Disclosed are systems, methods, and computer software related to gate control using non-parallel imaging planes, determining the accumulated dose to tissue during radiation therapy using actual beam delivery information, stopping / modifying / re-optimizing treatment based on the accumulated dose, and generating and using radiation therapy plans with prognostic motion models and prognostic motion adaptation.

The invention discloses a parallel MRI (Magnetic Resonance Imaging) reconstruction method based on a scanning specific triple attention improved residual network, and belongs to the field of MRI imaging. And acquiring full-sampling multi-coil k-space data, and performing multiple operations on the full-sampling multi-coil k-space data to obtain under-sampling multi-coil k-space data. Designing a specific triple attention improved residual parallel MRI reconstruction network (SS-TARNet) based on scanning, wherein the SS-TARNet is a reconstruction network model with adaptive and multi-scale feature extraction; constructing a mixed loss function of the reconstructed network model; solving the optimal parameters of the reconstructed network model by using the training set, the verification set and the mixed loss function; and for the test set, performing MRI image reconstruction by using the optimal parameters of the reconstruction network model to obtain a reconstructed image. The final reconstruction result is amplitude fusion of the sum. According to the method, the reconstruction results obtained by the two different networks are uniquely utilized to perform amplitude fusion output, and a better reconstruction effect is obtained, so that the reconstruction performance in the under-sampling MRI scene is greatly improved.

In MRI examinations of patients with acute ischemic stroke, it is often difficult for patients to fix and hold their heads due to impaired consciousness or limb weakness. Therefore, this invention provides a tool that is structurally rational, easy to operate, and effectively enhances the head fixation effect. [Solution] A tool to support MRI examination, comprising a base 1, a head rest member 2 with adjustable anterior-posterior position, a lateral limiting member 3 with an elastic buffer layer, and an adjustment mechanism 4. The head rest member slides relative to the base to adapt to the length of the patient's neck. The lateral limiting member is biased inward by a compression coil spring and flexibly holds both sides of the head with an elastic buffer layer, absorbing and suppressing involuntary movements. The adjustment mechanism uses a single reverse-threaded adjustment rod to synchronously and symmetrically move the left and right limiting plates, enabling precise adjustment according to the head circumference. This effectively limits multi-directional micro-movements of the head during imaging and improves image stability.

The disclosed invention is a method for mapping glutathione deficiency and / or mitochondria dysfunction in disease states, utilizing glutathione and its precursors as imaging tracers in conjunction with medical imaging techniques, particularly magnetic resonance imaging. The innovation involves administering glutathione or glutathione-increasing interventions, such as oral liposomal reduced glutathione, to enhance imaging accuracy. The proposed methodology aims to identify and monitor regions of depleted reduced glutathione (GSH) in various organs and tissues. The maps generated through this process provide valuable biomarkers for toxic exposure, early biological effects, and health risks. The approach is versatile, offering applications in mental health, neurological disorders, inflammation, organ dysfunction, and personalized treatment and risk assessments.

The application belongs to the technical field of material preparation, and relates to a bimodal functional imaging nanomaterial and a preparation method and application thereof. 1‑x Fe x Se2, wherein 0 < x < 1. The preparation method of the bimodal functional imaging nanomaterial comprises the following steps: stirring ferrous sulfate and cysteine in a solvent until uniform, then fully stirring bismuth salt, then adding sodium selenite to perform a heating reaction to obtain a bismuth iron selenium nanocomposite. The bismuth iron selenium nanocomposite provided by the application is uniform in size, regular in morphology, has good water phase dispersibility, and has the performance of simultaneously enhancing MRI imaging and CT imaging.

The invention provides an fnIRs host and an fnIRs system which are used in cooperation with an MRI (Magnetic Resonance Imaging) system. The fnirs host comprises a communication interface and a shielding shell, a group of APD devices are accommodated in the shielding shell, each APD device is respectively configured to be connected to a corresponding D probe on the head cap through a first optical fiber bundle, and metal adopted by a pin or a coating of each APD device is second non-ferromagnetic metal; the main processor and the processing circuit are configured to be electrically connected to a group of APD devices, and the adopted metal is third non-ferromagnetic metal; and the light source part or the driving part operates under the control of the main processor and the processing circuit, and the light source part or the driving part does not contain a ferromagnetic material. The fnirs host is small in size and can be placed in a scanning hole of an MRI scanning room, the length of an optical fiber on a head cap worn by a subject is shortened, and a probe on the head cap worn by the subject can be conveniently adjusted.

The present invention discloses a method and system for analyzing the sclerosis ratio of kidneys based on MRI images, belonging to the technical field of medical image processing, including: selecting an MRI imaging sequence according to the kidney lesion characteristics of a patient; collecting images of the patient's kidneys based on the MRI imaging sequence to obtain different MRI imaging sequence images; fusing the MRI imaging sequence images to obtain a multi-modal image; preprocessing the multi-modal image, including per-pixel signal intensity correction, histogram equalization, adaptive filtering, and non-local means denoising; performing image segmentation on the preprocessed multi-modal image to obtain a binary image including a sclerosis region and a normal region; obtaining the kidney sclerosis ratio based on the binary image. The method of the present invention can improve the recognition accuracy and quantification precision of the kidney sclerosis region, more accurately evaluate the degree of kidney sclerosis, provide strong support for clinical research, and improve the medical level.