271 results about "Medical imaging" patented technology

Provided herein is technology relating to radiology and radiotherapy and particularly, but not exclusively, to apparatuses, methods, and systems for multi-axis medical imaging of patients in vertical and horizontal positions.

Systems and methods for performing a medical imaging analysis task using a foundation model are provided. One or more 3D (three-dimensional) medical images each comprising a plurality of 2D (two-dimensional) slices are received. A first set of features is extracted from the plurality of 2D slices of the one or more 3D medical images using a machine learning based encoding network. Each respective feature of the first set of features is resampled based on a spatial location of one or more pixels of the 2D slices from which the respective feature was extracted. The resampled first set of features is encoded into a second set of features. A medical imaging analysis task is performed based on the second set of features. Results of the medical imaging analysis task are output.

A method for analysing anatomical structure data such as, for example, arteriovenous fistula (AVF) data includes the following steps: Receiving 2D ultrasound images of the anatomical structure; genera

The present disclosure relates to the technical field of medical imaging, and relates to an endoscope system, an image processing method, and a computer program product therefor. The endoscope system to which the present disclosure relates comprises a light source, an insertion portion, and an image processing portion. The insertion portion is at least provided with a distal end portion configured to reach into a region to be inspected, and the distal end portion is provided with a first imaging module and a second imaging module. The light source is used for providing illumination to the region to be inspected. The first imaging module is used for acquiring a first image, and the first imaging module has a first focusing range and a first imaging range; the second imaging module is used for acquiring a second image, and the second imaging module has a second focusing range and a second imaging range; and the second focusing range is at least partially different from the first focusing range, and the second imaging range and the first imaging range have an intersection. The image processing portion is used for selecting and outputting at least one of the first image and the second image, or obtaining a composite image on the basis of the first image and the second image and outputting the composite image.

This invention discloses a differential VGA signal decoding and display device, relating to the display field. It includes a signal input module, an ESD protection module, a differential receiving module, a synchronization separation module, an image decoding driver module, a display module, an audio processing module, and a control module. These modules are interconnected and work together to decode, process, and display differential VGA signals. This differential VGA signal decoding and display device solves the problems of short transmission distance, weak anti-interference capability, limited resolution, and high power consumption associated with traditional VGA interfaces. It also achieves full compatibility with traditional VGA devices, integrating audio processing, local playback, intelligent signal enhancement, and remote monitoring and management functions. It achieves reliable conversion from analog to differential signals, supports high-definition display, and has a transmission distance of up to 50 meters, while maintaining full compatibility with traditional VGA devices. This technology is particularly suitable for professional fields such as industrial automation and medical imaging, meeting the diverse display and intelligent operation and maintenance needs of professional scenarios.

The present invention relates to a system for sensor signal dependent interaction generation during a medical imaging process, the system comprising: a sensor module configured to measure patient status data; a processor module configured to analyze the patient status data to determine biometric and health status data of the patient; and an interaction data generation module configured to generate questionnaire data for obtaining real-time feedback from the patient during the medical imaging process, the questionnaire data being based on parameters of the medical imaging process and the determined biometric and health status data of the patient.

The application discloses a kind of sulphur-containing polydopamine melanin nanoparticles and preparation method and application, preparation raw materials include polyhydroxy compound and sulphur-containing compound, the weight ratio of the polyhydroxy compound and the sulphur-containing compound is (1-100) :(1-100), the preparation raw materials also include water, organic solvent and acid-base regulator.The application occurs self-polymerization reaction under alkaline condition with dopamine and sulphur-containing compound, without additional crosslinking agent and oxidant, and the nanoparticles obtained have excellent photothermal performance.In photothermal therapy, biomedical imaging, water purification, functional coating and other aspects, it shows great application potential.And preparation reaction condition is mild, without additional catalyst and oxidant, process is safe, post-processing is simple, and no harmful waste water and waste residue to environment, meet the requirements of green chemistry.

A medical imaging system includes a data acquisition system for acquiring projection data of a subject during a scan of the subject based on a scan protocol. The scan protocol includes a reconstruction with a mapping to a file transfer profile. The transfer profile includes a file transfer location to a host. The reconstruction does not include the file transfer location. The medical imaging system further includes a reconstructor configured to generate image data based on the acquired data and the scan protocol. The medical imaging system further includes an operator console with a processor configured to execute instructions that initiate transfer of the image data to the host based on the file transfer location in the file transfer profile mapped to in the reconstruction of the scan protocol.

A system (100) for transferring data (110) generated by a medical imaging system over a communication network (120), is provided. The system includes a processing arrangement (130, 140) configured to identify (S120) one or more protected health information, PHI, elements (110′) in the data (110); obscure (S130) the one or more PHI elements (110′) in the data (110) to provide de-identified data (110″); transmit (S140) the de-identified data (110″) over the communication network (120); and receive (S150) the de-identified data (110″) at a remote terminal (150).

This invention relates to an intelligent decision support system for rectal cancer prognosis integrating digital pathological images, belonging to the field of medical image processing technology. The system includes a data acquisition module for collecting multiple sets of sample data; a feature selection module for identifying multiple key medical imaging features of rectal cancer based on the multiple sets of sample data; a model building module for acquiring a pre-trained deep learning model and constructing a rectal cancer prognosis prediction model based on transfer learning, the pre-trained deep learning model, the multiple sets of sample data, and the multiple key medical imaging features of rectal cancer; an image acquisition module for acquiring pre- and post-operative medical images of the rectal cancer patient to be evaluated; and a recurrence prediction module for predicting the recurrence probability of the rectal cancer patient to be evaluated based on the pre- and post-operative medical images of the patient using the rectal cancer prognosis prediction model. This system has the advantage of improving the accuracy of non-invasive prediction of postoperative recurrence of rectal cancer.

Systems and methods are provided for providing adaptive and intelligent segmentation processes that support personalization during ultrasound scanning. In one example, an ultrasound imaging system includes a processing circuit having a processor coupled to a memory device storing instructions thereon that, when executed, cause the processing circuit to perform operations including generating an ultrasound image based on image data obtained by a transducer; segmenting an anatomical structure in the ultrasound image using a segmentation algorithm; presenting, on a display of the ultrasound imaging system, the ultrasound image including the segmentation of the anatomical structure; receiving, via the display, an input from a user, the input including an adjustment to the segmentation of the anatomical structure; adjusting the segmentation of the anatomical structure based on the input; presenting, via the display, the ultrasound image with the adjusted segmentation of the anatomical structure; and updating the segmentation algorithm based on the input.

At least some embodiments of the present disclosure describe a wearable apparatus for medical imaging which includes: a supporting device; a plurality of x-ray signal emitters arranged in a first closed shape on the supporting device and configured to emit x-ray signals to an object; a plurality of detectors disposed on the supporting device and configured to detect the x-ray signals; and one or more processors coupled to the plurality of x-ray signal emitters and the plurality of detectors. In some embodiments, the one or more processors are configured to: receive data from the plurality of detectors; and generate a cross-sectional image based on the data received from the plurality of detectors. In certain embodiments, the plurality of x-ray signal emitters, the plurality of detectors, and the object remain physically stationary when the wearable apparatus is in use.

Systems and methods for performing a medical imaging analysis task conditioned on multi-domain medical images with missing modalities are provided. 1) one or more medical images each in a different domain and 2) a domain code defining a presence of the different domains in a set of predefined domains are received. One or more weights are determined based on the domain code. One or more parameters of a machine learning based encoder are updated based on the one or more weights. Features are extracted from the one or more medical images using the machine learning based encoder with the one or more updated parameters. A medical imaging analysis task is performed based on the extracted features. Results of the medical imaging analysis task are output.

The application relates to the medical imaging technical field and discloses a motion detection method and device for a perfusion scanning process and a CT scanning device, wherein the motion detection method comprises the following steps: acquiring an image of a current scanning circle; performing skull region segmentation on the image of the current scanning circle to obtain a skull mask image of the current scanning circle; comparing the skull mask image of the current scanning circle with a target skull mask image to determine an overlapping degree index; and determining the motion condition of the patient's head according to the overlapping degree index. The image reconstructed by the current scanning circle is acquired in real time during the scanning process, the image of the current scanning circle is subjected to skull region segmentation to obtain a skull mask image, and the overlapping degree index of the skull mask image of the current scanning circle and the target skull mask image is determined, so that the motion condition of the patient's head can be quantitatively evaluated, and the motion detection accuracy is improved.

Embodiments of the present application provide a method for determining a scanning scheme in medical imaging and a medical imaging system. The method comprises: determining a scanning scheme according to at least two of information about a key point on an object being examined being blocked, connection state information of a coil covering a surface of the object being examined and orientation information of the object being examined, the scanning scheme being used for scanning the object being examined by a medical scanning device; and notifying the scanning scheme. Thus, the scanning scheme does not need to be manually loaded, the scanning process is simplified, and the scanning efficiency is improved.

A curved-surface fusion method and apparatus, and a medical imaging device, which relate to the technical field of medical treatment. The curved-surface fusion method comprises: calculating a first TSDF value of each corner point corresponding to a curved surface to be fused; acquiring a second TSDF value of each corner point corresponding to a target curved surface; according to the first TSDF value and the second TSDF value, determining a third TSDF value of each corner point corresponding to a fused curved surface; according to the third TSDF value and corner point coordinates, determining vertex coordinates of a triangular mesh of the fused curved surface and a topological structure of the triangular mesh; and determining the fused curved surface according to the vertex coordinates of the triangular mesh of the fused curved surface and the topological structure of the triangular mesh.

This invention discloses a method for reconstructing magnetoacoustic electromagnetic particle images based on time-reversal. This method utilizes the method of moments discretization, combining the voltage-time inversion formula with the theory of the magnetoacoustic electromotive force problem for magnetic particles. It reconstructs the spatiotemporal discrete signals of the first and second derivatives of the voltage acquired by the electrodes into an equivalent field source distribution within the imaging region. A unit current is injected across the electrodes, and the potential distribution is obtained by solving the reciprocal potential Poisson equation. Combining the field source and the reciprocal potential distribution, the discrete divergence field of the magnetic nanoparticle concentration can be calculated, and then expressed as a five-point difference form of the Poisson equation. Finally, the Gauss-Seidel iterative method is used to solve this equation to obtain an image of the magnetic nanoparticle concentration distribution. This invention effectively reduces computational complexity and storage requirements, significantly improves imaging speed, and expands the application potential of this technology in the field of medical imaging.

The present disclosure features imaging media including a contrast agent encapsulated within a biodegradable nanoparticle matrix. The particles are sized such that they avoid excretion via urinary excretion (e.g., at least 5 nm in diameter) during an imaging procedure or an image-guided procedure. Instead, the particles are predominantly removed from circulation by the reticuloendothelial system of the liver. This results in a buildup of contrast agent in the liver, allowing for a highly specific imaging modality for liver imaging. Further, the bulk of the imaging media is excreted into the bowel, reducing in-vivo toxicity of the imaging media. Finally, because of their size, the nanoparticles of the imaging media have a higher circulation half-life.

The application provides a trigger type wearable ultrasonic device and method, and relates to the technical field of medical imaging and rehabilitation engineering. The device comprises: an ultrasonic imaging module for generating an ultrasonic image of a target part; a training intensity monitoring module for monitoring rehabilitation training actions of a user in real time and generating a training intensity signal; a central processing and control module for generating an action type and a training intensity parameter according to the training intensity signal, generating an imaging trigger instruction according to a trigger condition, and synchronously and associatively storing the collected ultrasonic image and the training intensity parameter and the action type at the trigger time. Thus, the ultrasonic imaging is intelligently triggered through the training intensity signal, the system only works in an effective training period, thereby significantly reducing the power consumption of the system and prolonging the endurance time; and the multimodal synchronization and association of the ultrasonic image data and the training intensity parameter are realized, thereby providing an objective and fused data basis for the quantitative evaluation of rehabilitation effects and the accurate formulation of rehabilitation plans.

A system may be configured to generate multiple machine-learning based volumetric images from initial measurement data. Slices of a machine-learning based volumetric image may correspond to ML-based versions of respective slices of the initial volumetric image. The system may calculate differences between the different machine-learning based volumetric images. The system may enable a user to select an image slice for viewing. Based on the selection the system may identify multiple machine-learning based image slices that correspond to the selected image slice, generate a display object based on the identified machine-learning based image slices, and display the display object.

This invention discloses a work-related musculoskeletal disorder monitoring and training system based on distributed flexible sensing, belonging to the interdisciplinary field of preventive medicine and clinical rehabilitation. The invention includes a distributed flexible sensing module, a data processing and reconstruction module, an individualized baseline construction module, and a monitoring target generation module. This invention collects real-time morphological and motion data of the spine during occupational work or rehabilitation training using flexible sensing patches. Combined with individualized medical imaging baselines and occupational ergonomic load thresholds, a multi-dimensional assessment model is constructed. An individualized three-dimensional morphological baseline of the spine is built, and dynamic correction targets are generated. During training, the three-dimensional spatial deviation between the spinal curve and the target is analyzed in real time. This allows for rehabilitation training guidance adapted to the user's physiological structure. Furthermore, the deviation between spinal posture and ergonomic safety benchmarks is analyzed in real time during training, enabling prevention, early warning, and precise rehabilitation guidance for occupational spinal injuries.

Medical imaging device (410), in particular endoscope device, exoscope device and / or microscope device, comprising: an illumination unit (412) with at least one light source (414) configured to provide illumination light (416) for illuminating an object (418) to be imaged; an image acquisition unit (420) configured to acquire several calibration images (422, 423) of the object (418) to be imaged and to acquire at least one object image (424) of the object (418) to be imaged; and an image correction unit (426) configured to: determine depth information from the calibration images (422, 423), wherein the depth information comprises several depth maps relating to different wavelength ranges;Determining a correction for the object image (424), wherein the correction includes taking into account a distance dependence of a light intensity of illumination light (416) and / or a distance dependence of a light intensity of object light (428) according to the depth information; and producing a corrected object image (430) according to the correction, wherein the illumination unit (412) is configured to be operable in different illumination modes in which illumination light in different spectral ranges can be provided, and wherein the image acquisition unit (420) is configured to acquire several calibration images (422, 423) the acquisition of which is based on different illumination modes of the illumination unit (412).

Presented herein are methods and systems for integrating pre-operative and post-operative images of a subject to create an enhanced image. According to one aspect, a method includes obtaining a first image at a first time and obtaining second image at a second time. The first image is a three-dimensional (3D) image and the second image is a two-dimensional (2D) image. The method also includes determining a view angle associated with the first image. The view angle is associated with a 2D projection of the first image and is arranged to match the 2D projection with the second image. Matching the second image with the 2D projection includes extracting a feature from the first image and projecting the feature at the view angle onto a 2D plane to form a projected feature. The projected feature is transferred to the second image to create an enhanced second image.

The application provides a surgical robot system and control method for proximal femur osteotomy, the system comprises: a preoperative planning module for constructing a hip joint three-dimensional model and performing preoperative planning according to the hip joint three-dimensional model to generate a proximal femur osteotomy scheme, which is one of a femoral head rotation osteotomy scheme, a femoral neck rotation osteotomy scheme, an intertrochanteric rotation osteotomy scheme and a subtrochanteric rotation osteotomy scheme; a navigation positioning module for registering the entity femur in operation and the hip joint three-dimensional model before operation according to an optical positioner and an optical positioning frame to map the proximal femur osteotomy scheme, real-time tracking the pose of the surgical tool and the entity femur, and displaying and comparing the proximal femur osteotomy scheme and the real-time osteotomy process on a display screen. In the application, the preoperative planning-intraoperative optical positioning navigation can track the osteotomy condition of the surgical tool in real time during operation, and multiple medical imaging is avoided, thereby greatly improving the surgical effect.

This application provides an ablation balloon catheter and an ablation system. A plurality of electrode assemblies are distributed on the surface of a deformable balloon. At least two electrode elements are arranged along the latitudinal direction of the deformable balloon. Each electrode assembly is equipped with a contrast-enhancing element, which is located between adjacent electrode elements. The contrast-enhancing elements in at least two electrode assemblies are different. The surface of the deformable balloon is distributed with a plurality of electrode assemblies for releasing ablation energy. Among these electrode assemblies, at least two electrode assemblies have different contrast-enhancing elements. This difference allows the operator to obtain images showing the differences between the different contrast-enhancing elements under medical imaging such as X-rays, thereby distinguishing different contrast-enhancing elements and their respective electrode assemblies. Therefore, by distinguishing the electrode assemblies, the rotation angle and spatial orientation of the entire deformable balloon can be accurately determined, improving the identifiability of the deformable balloon under medical imaging.

The application relates to a laser speckle image denoising method and device, which combines the complementary advantages of a laser intensity image and a laser phase image, extracts and fuses a contour feature map of a laser speckle image and a curvature feature map and a normal vector feature map of a laser phase image, provides a neural network with abundant geometric context, and further adds geometric feature constraints in the neural network to form a hierarchical system. The synergistic effect of the geometric constraints enables the denoising model to accurately maintain the edge contour, local surface morphology, surface orientation and overall topological structure of the image when removing speckle noise, significantly improves the geometric structure integrity of the denoised image, and effectively solves the problem that denoising and structure preservation are difficult to balance and diagnostic information is lost in the background technology. The application provides a more reliable and accurate solution for medical imaging application scenarios, and has significant technical progress and application value.

Provided are a medical imaging apparatus, a medical imaging support method, and a program that can notify a user of a plurality of notifications from a subject. A medical imaging apparatus according to the present disclosure captures a medical image of a subject, identifies a first motion performed by the subject inserted into a bore of a gantry based on information acquired by a motion sensor, compares the identified first motion with a plurality of second motions registered in a memory, and notifies the user of notification content corresponding to the second motion that matches the identified first motion among the plurality of second motions registered in the memory.

The application discloses a 7T magnetic resonance head and neck tumor radiotherapy response evaluation system, belongs to the field of medical imaging and tumor radiotherapy, and comprises an ultrahigh-field multi-modal image acquisition module, a multi-phase accurate registration and radiomics feature extraction module, an early response biomarker identification module and an adaptive treatment decision support module. The high resolution, high signal-to-noise ratio and multi-nuclide imaging capability of the 7T ultrahigh-field magnetic resonance are utilized to acquire multi-modal images before and during treatment, more than 200 features are extracted through accurate registration and radiomics analysis, the treatment response is predicted based on the Delta feature and the deep learning model 2 to 3 weeks after the start of radiotherapy, the prediction accuracy reaches 87.5%, the prediction is 3 to 4 weeks earlier than the conventional evaluation, decision support is provided for timely adjustment of the treatment strategy, a closed-loop feedback mechanism is established, the clinical verification results are used to optimize the parameters of each module reversely, and continuous improvement is realized.

A patient handling system (PHS) for a medical imaging system having a tunnel extending through at least one scanning portion of the system. The PHS includes a first movable base supporting a detachable first pallet including a first patient. The first base moves the first pallet through the tunnel to enable scanning of the first patient. The PHS also includes a second movable base located at an exit of the tunnel. The second base attaches to the first pallet as the first pallet moves through the tunnel, and the first base is subsequently detached from the first pallet. The second base then moves away from the exit of the tunnel to remove the first pallet from the tunnel. A second patient to be scanned is simultaneously prepared on a second pallet for scanning as the first pallet moves through the tunnel in order to increase patient throughput through the system.