80 results about "Mri imaging" patented technology

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.

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.

Examples of the presently disclosed technology provide new systems and methods for real-time temperature propagation and tissue damage visualization during laser interstitial thermal therapy (LITT) procedures that do not rely on real-time MR imaging. Accordingly, examples enable performance of LITT procedures in regular operating rooms lacking MR-equipment-thereby reducing costs and improving availability for LITT procedures. Examples achieve these advantages by leveraging “discretized” patient-specific 3D brain structure representations to perform numerical methods for solving partial differential equations that estimate real-time (or close to real-time) temperature propagation within a patient's brain during a LITT procedure.

Described herein is a method to measure the position of the PET System using the MRI, through the use of MRI coils and fiducials. This approach offers a route to automated calibration which is more flexible than other approaches. This method of position measurement is useful for example in systems which have moving or removeable PET readout board systems or moving or removeable PET scintillator blocks.

The present disclosure relates to an antenna assembly for an imaging method, a use of an antenna assembly and a tomography system, in particular for MRI or simultaneous MR-PET / SPECT. An antenna assembly for an imaging method comprises at least two adjacent antennas, wherein each of the at least two antennas is designed as a J-pole antenna with a radiation section and a feed section. The at least two antennas are arranged alternately at a first angle and a second angle different from the first angle in relation to a reference surface. In this way, effective decoupling of the two antennas is achieved by simple means.

This invention relates to an MRI-based method for classifying benign and malignant intraductal lesions (IDLs) of the breast, comprising the following steps: Step 1) Extracting a set of clinical features from MRI images: age, ADC value, BI-RADS category, lesion shape, margin clarity, and TIC curve type; Step 2) Extracting radiomics features from the 3D lesion segments of the T1 DCE-MRI sequence; Step 3) Reducing the dimensionality of the radiomics features using the Lasso algorithm; Step 4) Fusing the dimensionality-reduced radiomics features with the clinical features into an input vector; Step 5) Outputting benign / malignant probability values ​​through a logistic regression model; Step 6) Applying stratification rules to BI-RADS 4A lesions: older patients or those with low ADC values ​​are marked as high-risk and biopsy is recommended; younger patients with high ADC values ​​are marked as low-risk and follow-up is recommended. This method solves the problem of current dynamic contrast-enhanced MRI's difficulty in accurately identifying BI-RADS categories, especially the BI-RADS 4A high-risk subgroup, thereby reducing missed diagnoses and over-biopsy. It is of urgent significance for overcoming the bottleneck of preoperative risk stratification in IPLs and guiding individualized clinical decision-making.

1. Name of the product subject to this design: Medical Imaging Equipment and its Main Body. 2. Intended use of this design: The medical imaging device of this design is intended for use in conjunction with a medical imaging system, such as, but not limited to, a magnetic resonance imaging system. The main body of the medical imaging equipment serves as the main structure of the device. 3. The key design features of this product are its overall shape. 4. The image or photograph that best illustrates the key design points: Design 1 3D view. 5. Design 1 is designated as the basic design. 6. Other situations requiring explanation: The area inside the dashed box in Design 3 is the unprotected part.

A diagnostic imaging assistance device 1 comprises: a first acquisition unit 10 for acquiring an image of a head through MRI; an image processing unit 11 for extracting a region containing information on a lesion site and the periphery of the lesion site from the acquired image of the head and generating a first image having the extracted region; an extraction unit 12 for extracting a predetermined image feature amount from the first image; a classification unit 14 for determining, on the basis of the image feature amount extracted by the extraction unit 12, the presence or absence of a molecular biomarker associated with the lesion site for classification using a pre-constructed classifier; and a presentation unit 15 for presenting assistance information related to whether or not the lesion site contained in the image of the head has the molecular biomarker, on the basis of the result of the classification by the classification unit 14.

The invention relates to novel biocompatible hybrid nanoparticles of very small size, useful in particular for diagnostics and / or therapy.The purpose of the invention is to offer novel nanoparticles which are useful in particular as contrast agents in imaging (e.g. MRD and / or in other diagnostic techniques and / or as therapeutic agents, which give better performance than the known nanoparticles of the same type and which combine both a small size (for example less than 20 nm) and a high loading with metals (e.g. rare earths), in particular so as to have, in imaging (e.g. MRI), strong intensification and a correct response (increased relaxivity) at high frequencies.Thus, the nanoparticles according to the invention, with diameter d1 between 1 and 20 nm, each comprise a polyorganosiloxane (POS) matrix including gadolinium cations optionally associated with doping cations; a chelating graft C1 DTPABA (diethylenetriaminepentaacetic acid bisanhydride) bound to the POS matrix by an —Si—C— covalent bond, and present in sufficient quantity to be able to complex all the gadolinium cations; and optionally another functionalizing graft Gf* bound to the POS matrix by an —Si—C— covalent bond (where Gf* can be derived from a hydrophilic compound (PEG); from a compound having an active ingredient PA1; from a targeting compound; from a luminescent compound (fluorescein).The method for the production of these nanoparticles and the applications thereof in imaging and in therapy also form part of the invention.

This invention discloses a method for preparing and applying nanocluster magnetic beads, comprising the following steps: adding a salt solution containing ferrous and ferric salts to an aqueous solution, dissolving it uniformly, then adding a dispersant to obtain a mixed solution, stirring evenly, and heating; adding ammonia water to the heated mixed solution, stirring the reaction to obtain nanocluster magnetic beads. This invention directly synthesizes nanocluster magnetic beads using an innovative one-step method, eliminating the need for multi-step synthesis and subsequent separation steps, and the synthesized nanocluster magnetic beads can be used for cell separation and MRI imaging.

The application belongs to the technical field of medicines, and relates to a ferric bismuth oxide multi-modal imaging probe and a preparation method and application thereof. x The ferric bismuth oxide multi-modal imaging probe has a molecular formula of BiFeO x wherein x is 2.5-3.5, the ferric bismuth oxide multi-modal imaging probe has CT imaging and MRI imaging functions, and has POD-like activity, CAT-like activity and GSH-Px-like activity. The preparation method comprises the following steps: dissolving bismuth nitrate in a mannitol solution, then adding a high-molecular polymer to form an A solution; dissolving ferric nitrate in a mannitol solution to form a B solution; dropping the B solution into the A solution, then adding ammonia water, performing high-temperature treatment after reaction, and obtaining the ferric bismuth oxide multi-modal imaging probe after cooling and washing. The ferric bismuth oxide multi-modal imaging probe has significant advantages in multi-modal imaging and tumor treatment, overcomes part of the limitations of single imaging technology and traditional treatment methods, and has important clinical application value.

This specification discloses a novel robotic system and method for MRI-guided interventions, adapted to various MRI scanners, particularly low-field scanners with small bores. The system and method disclosed herein enable precise, minimally invasive procedures.

The invention relates to a method for characterizing microscopic crack spatial distribution by wave velocity-nuclear magnetic resonance imaging, which comprises the following steps: selecting any rock sample, respectively carrying out longitudinal wave velocity measurement on the states of the rock sample before and after heating by using a sound wave velocimeter, and calculating the thermal damage coefficient of the rock sample according to the longitudinal wave velocity measurement; the method comprises the following steps: performing nuclear magnetic resonance imaging (MRI) processing on a rock sample by adopting a low-field nuclear magnetic resonance spectrometer to obtain an MRI image, and converting the MRI image into a bitmap data matrix with M columns and N rows; then calculating a damage variable of the corresponding infinitesimal body; the infinitesimal body failure threshold T is obtained through calculation; comparing the bitmap data difference value with T to obtain the damage state of the infinitesimal body; the damage states of all the infinitesimal bodies jointly form the spatial distribution condition of the rock sample. By using the method provided by the invention, the damage state distribution condition of the tested rock can be accurately reflected under the condition that the sample is not damaged.

The invention relates to a method for producing a template for a bone plate for treating a fracture of a bone of a human or animal, in particular for a bone plate for treating a pelvic fracture of a human. According to the invention, in order to produce the template in a patient-specific manner with high practical applicability, a digital data set of an image of bone fragments of the fracture is obtained using an imaging method, in particular an MRI or CT or X-ray method, wherein the method comprises the following steps: a) creating a digital, in particular virtual, three-dimensional bone model of the bone fracture fragments on the basis of the data set; b) determining a digital template design adapted to the bone model; c) producing, in particular 3D printing, the template on the basis of the determined template design. The invention also relates to a data processing device, to a system for producing the template, and to a computer program product.

The invention discloses an MRI (Magnetic Resonance Imaging) technology-based image data processing method and system and a storage medium, and relates to the technical field of medical data processing, and the image data processing method is implemented by the following steps: carrying out scanning and image processing on a motif by adopting a plurality of MRI imaging devices to respectively obtain quantitative parameters of the motif output by the plurality of MRI imaging devices, constructing the first quantitative parameter vector into a first quantitative parameter vector; constructing a calibration reference value by using the first quantitative parameter vector, and establishing a mapping relationship between the equipment deviation vector of each MRI image equipment and the calibration reference value; each mapping relation is associated with an identity tag of the MRI image equipment; and reading MRI image data obtained after the current MRI image equipment scans the patient, extracting the identity tag and the quantitative parameter, converting the quantitative parameter into a second quantitative parameter vector, calling the corresponding mapping relation based on the identity tag, performing standardized conversion on the second quantitative parameter vector, and outputting the second quantitative parameter vector. Through the method, the image data output by different image devices can be subjected to standardization processing.

Systems and methods for a deep learning reconstruction network with computationally light and efficient CNN architecture and a training strategy tailored to image reconstruction of dynamic multi-coil GRASP MRI. The configuration of the size of the network used in training time may be adjusted, which allows for higher accelerations and different hardware constraints.

A steerable surgical apparatus comprises a steerable surgical tubular needle, a needle manipulation apparatus with multiple actuators (permitting adjustment of needle rotation, translation, and bending), fiducial markers affixed to the needle manipulation apparatus, encoders configured to sense movements initiated by actuators, and a control unit. The needle manipulation apparatus is devoid of ferrous materials, and is configured to be placed and operated within an MRI machine bore. The control unit determines position and orientation for: (i) the needle manipulation apparatus relative to the MRI machine bore, such as by MRI imaging of the fiducial markers, and (ii) the needle inserted into a patient within the MRI machine bore, such as by kinematics utilizing signals of the encoders.

The invention relates to a method for performing an MRI examination of a patient using an MRI system, the MRI system, a computer-implemented method for providing a media signal using an AI system, the AI ​​system, and an associated computer program product. The inventive method for performing an MRI examination of a patient using an MRI system comprises the following steps: - Adjusting an examination parameter of the MRI examination to the patient using a control unit of the MRI system, - Providing the adapted investigation parameter via the control unit as an input parameter for a generative AI system, wherein the generative AI system is configured to generate a media signal as an output parameter in response to an input of the provided input parameter and to make the generated media signal available for retrieval, wherein the generated media signal depends on the adapted investigation parameter and includes an audio track and / or a video track, - Receiving the generated media signal by means of a playback unit, - Performing the MRI examination of the patient according to the adapted MRI examination parameters using the MRI system in such a way that the received media signal is played back to the patient via the playback unit during the procedure.

A method and a system are provided for determining a location of a brain target for neuromodulation therapy without requiring MRI imaging of the head. The system includes a sensor or a plurality of sensors configured to acquire data describing a geometry of a head of a subject. A processor is coupled to the sensor and is configured to receive the data describing a geometry of the head of the subject gathered by the sensor, determine 3D coordinates of head-surface contour points from the acquired data, apply a predictive model to the determined 3D coordinates of head-surface contour points, receive 3D coordinates of a located brain target as output from the model, and output 3D coordinates of the located brain target for subsequent delivery of neuromodulatory brain therapy. The model is pre-trained on a dataset of head and brain images and configured to associate head-surface coordinates with 3D coordinates of at least one deep brain target.

This invention relates to a head frame assembly, comprising: a base configured for fixation to a patient's skull, the base including a support, a plurality of biocompatible screws mounted on the support, and a radiopaque ring, wherein the radiopaque ring has a zero-scale point, and the radiopaque ring and the zero-scale point are identifiable by CT or MRI imaging technology; a head frame including: a support frame; a planar rotating ring rotatably mounted on the support frame; a top cover mounted on the planar rotating ring and having a dial displaying a rotation angle φ; a swing arm consisting of a horizontal axis and a vertical axis, the swing arm being configured to swing controllably by a swing angle θ and to rotate controllably with the planar rotating ring by a rotation angle φ; wherein the vertical axis is axially hollow, defining a puncture channel for removable insertion of a puncture needle; wherein the head frame is removably fixed to the base.

This invention provides a three-dimensional spatial organ image feature extraction system that reduces false positives. [Solution] A feature extraction method is developed to serve as the basis for classifying organ positives and false positives. Multiple organ cross-sectional layers of the same type of three-dimensional organ are extracted using MRI. An AI analysis system generates organ cross-sectional layers for each organ, and a specific organ marking image is generated. The organ cross-sectional layers from which the specific organ marking image was generated are imported into the image analysis unit. The centroid point of the specific organ marking image and the organ cross-sectional layer containing the specific organ marking image are imported into the feature extraction unit. The feature extraction unit calculates minimum distance data based on the centroid point and reference point, calculates area data based on the specific organ marking image, generates a layer number data set based on total layer number information, current layer number information, and image code information, and imports the distance data, area data, and layer number data set into the feature calculation unit to generate matching results. The post-processing unit selects whether to delete or retain the specific organ marking image based on the matching results.

This invention provides a method, system, and device for constructing a 3D-printed liver model based on image data, comprising: acquiring CT and MRI image data of an individual patient; performing multimodal image segmentation on the CT and MRI image data to obtain structural segmentation images; fusing the structural segmentation images to obtain a liver and tumor anatomical structure model; performing three-dimensional reconstruction on the liver and tumor anatomical structure model to obtain a target three-dimensional visualization model; and 3D printing the target three-dimensional visualization model. This application integrates CT and MRI imaging modalities to obtain more comprehensive and accurate liver anatomical information. CT provides clear images of the liver parenchyma and blood vessels, while MRI provides more sensitive soft tissue contrast and tumor detection. The combination of the two can compensate for the shortcomings of a single imaging technology, improving the realism and information content of the model.

The application discloses a uterus tumor differential diagnosis method and system based on multi-parameter MRI imaging and belongs to the technical field of medical image processing and artificial intelligence diagnosis. The method aims at the problems existing in the current uterus tumor MRI diagnosis, such as strong subjective dependence, insufficient utilization of multi-parameter information, unreasonable feature screening and model construction. The method comprises the following steps: collecting T1WI, T2WI, T2 fat suppression sequence and DWI multi-parameter images; after format standardization, deartifacting and Z-score normalization, a model combining U-Net and attention mechanism is used to realize automatic segmentation of the lesions; multi-dimensional features are extracted and the optimal subset is screened by ANOVA filtering-RFE-SVM packaging method; a stacking integrated model is constructed for training, and the output includes the differential results and confidence of ordinary uterine fibroids, special type uterine fibroids and uterine sarcoma; the application integrates multi-parameter complementary information, improves the segmentation efficiency and feature quality, has strong model generalization ability and accurate diagnosis, is suitable for the actual situation of the scarcity of uterine sarcoma cases, and provides an objective diagnosis tool for clinical use.

The disclosed system provides an integrated neuroimaging analytics platform for comprehensive preoperative neurosurgical planning, intraoperative neurosurgical guidance and post-operative assessment by processing multimodal MRI (structural, diffusion, functional, and angiography) and CT data. The platform performs detailed anatomical characterization by delineating tumor subregions (peritumoral edema, enhancing tumor, and necrotic core), segmenting brain tissues (gray matter, white matter, and CSF), and executing lobe, cortical / subcortical parcellation. Advanced 3D rendering visualizes tumors alongside critical white matter fibre tracts derived from diffusion MRI, while MRA data is used to segment cerebrovascular structures, and functional MRI analysis identifies eloquent cortices associated with motor, speech, and visual functions. All results are integrated within a user-friendly GUI featuring advanced multiplanar slicing and a smart brush for interactive mask editing, complemented by a speech-to-text engine for streamlined analytical reporting. This comprehensive approach facilitates precise and efficient surgical planning, thereby enhancing patient safety and improving clinical outcomes.

This invention discloses a high-boron-loading manganese-based boron drug for BNCT diagnosis and treatment, its preparation, and its application, belonging to the fields of biomedicine and nuclear medicine. The boron drug structure is shown in general formula 7, with manganese porphyrin as the core skeleton. A benzene ring side chain at the meso position of the porphyrin ring is connected to a boron-10-containing catechol borate ester group via an amide bond. All boron atoms are boron-10 isotopes. The preparation method includes: first constructing the manganese porphyrin skeleton through condensation, cyclization, and metal coordination reactions; then independently preparing boron source units; and finally obtaining the target product through amide bond coupling. This boron drug possesses high boron-10 loading, efficient blood-brain barrier penetration, and excellent MRI imaging performance, enabling real-time and precise monitoring of boron drug distribution in vivo. The quantitative correlation between imaging signals and boron concentration guides the timing of neutron irradiation, integrating MRI tracing and BNCT treatment, effectively solving the problems of low boron loading, inability to penetrate the blood-brain barrier, and difficulty in real-time monitoring of in vivo distribution in existing boron drugs.

The present application relates to a kind of small molecule probes and its preparation method and application, the chemical structure of the probe is as shown in the following formula: Wherein, R1 is 1-propyl sulfonic acid or 1-butyl sulfonic acid;R2 independently selected from trifluoromethyl or sulfur pentafluoride group, the substitution position of R2 is the ortho, para or meta of hydroxyl on benzene ring;Preparation method is by the condensation reaction of salicylaldehyde containing fluorine substituent group and indoline, directly introduce containing fluorine substituent group into the spiro-pyran molecule structure with pH response, prepared with 19 F MRI and fluorescence imaging pH-responsive bimodal imaging small molecule probe.Compared with the prior art, the small molecule probe of the present application exhibits significantly different 19 F NMR chemical shift and fluorescence intensity, high-resolution 19 F MRI imaging and fluorescence imaging, greatly improve the sensitivity and accuracy of imaging, has important application prospect in the field of biosensing, cell imaging, medical diagnosis etc.

To generate MR images of the heart.SOLUTION: A method comprises: acquiring and reconstructing a first set of 2D reference images of the heart during a reference heartbeat, the first set comprising a first reference image acquired along a first reference plane position thorough the heart; and acquiring a second set of 2D images of the heart during a second heartbeat. The step of acquiring the second set comprises: acquiring a first image in the second set acquired along the first reference plane; determining, based on the first reference image and the first image in the second set, a first in-plane displacement of the heart in the image plane of the first reference plane position; determining a shifted plane position for a second image in the second set to be acquired perpendicular to the first image in the second set based on the determined first in-plane displacement; and acquiring and reconstructing the second image along the shifted plane position.SELECTED DRAWING: Figure 4