465 results about "Computed tomography" patented technology

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

The invention discloses an intelligent auxiliary diagnosis system and method based on big data analysis, and relates to the field of intelligent auxiliary diagnosis. Original CT scanning data and electronic medical record data of a patient are processed in parallel, and a deep learning model is introduced to extract high-dimensional image features and text features; through constructing a knowledge prior relation matrix derived from clinical guidelines and expert rules, knowledge-guided cross-modal attention fusion is carried out on image features and text features so as to realize deep and accurate joint characterization of patient conditions, and then intelligent risk prediction and classification are carried out on the basis of the deep and accurate joint characterization. Thus, through deep coupling of data-driven feature learning and medical knowledge-driven logical reasoning, intelligent and logical integration of multi-modal medical information can be realized, and the accuracy and reliability of an auxiliary diagnosis model in a complex clinical scene are effectively improved.

The invention discloses a CT (Computed Tomography) image pulmonary embolism segmentation and classification method combined with quality evaluation, which relates to the technical field of image processing, and comprises the following steps: inputting a 256 * 256 pulmonary embolism CT image and a quality score thereof into a quality score guide encoder, expanding a quality score dimension through linear transformation, and carrying out point product fusion with a feature map extracted by ResNet34 layer by layer to obtain a final product; generating multi-scale coding features; performing wavelet domain decomposition and reconstruction on the coding features through a wavelet transform fusion jump link module, and optimizing feature transmission; a multi-scale cross enhanced decoder is adopted to carry out multi-scale deconvolution fusion on the features, a segmentation result is output in combination with an efficient channel attention mechanism, meanwhile, pulmonary embolism existence judgment is output through a classification head, and the method provides powerful support for early diagnosis of pulmonary embolism, development of an image auxiliary diagnosis system and clinical application, and has good application prospects. Wide application prospects and profound social significance are realized.

The invention discloses a chronic sinusitis CT (Computed Tomography) image automatic typing and severity assessment method and a chronic sinusitis CT image automatic typing and severity assessment system based on deep learning. The method comprises the following steps: acquiring paranasal sinus CT image data of a chronic sinusitis patient and an associated clinical tag; carrying out standardization processing on the CT image, wherein the standardization processing comprises gray level normalization, denoising and region-of-interest segmentation; a multi-task deep learning model is constructed, an improved 3D Re < s> Ne < t-50 > architecture is adopted by a typing sub-model to output an immune endotype classification result, and a severity evaluation sub-model segments a lesion area based on a U-Ne < t + + > structure and automatically calculates a severity level; integrating model output to generate individualized treatment suggestions; and superposing a labeling result through the thermodynamic diagram and embedding the labeling result into a hospital PACS system. Accurate typing and evaluation of chronic nasosinusitis are achieved, and diagnosis efficiency and clinical decision support capability are improved.

The invention belongs to the technical field of deep learning, and particularly relates to a kidney and kidney stone segmentation method for a computed tomography image and electronic equipment. Comprising the following steps: S1, carrying out data preprocessing and data enhancement on a CT image data set; s2, constructing a semantic segmentation model for segmenting the CT image; s3, constructing a composite loss function fusing a cross entropy loss function and a loss function based on a Dice coefficient for training the semantic segmentation model; s4, setting a learning rate change curve, performing 2D slicing on the CT image data, and training a semantic segmentation model by using the 2D slices; and S5, segmenting the kidney and the kidney stone in the CT image by using the trained semantic segmentation model. According to the method, data preprocessing and data enhancement are performed by combining data set statistical parameters, Attention-gate and residual structures are introduced to construct the segmentation model, and finally, a proper training and prediction strategy is adopted, so that the segmentation accuracy of the kidney and the kidney stone in the CT image is improved.

A system for inspecting an object, includes: a source of X-ray radiation; a horizontal array of detectors, wherein the source and the array of detectors are positioned substantially on a first plane; a platform configured to rotate as well as translate in a vertical trajectory, wherein the platform is positioned on a second plane between the source and the array of detectors, and wherein the object is disposed on the platform; and a computing device configured to: cause the source to fire a substantially horizontal fan beam in a third plane, wherein the third plane is above a top of the object; acquire calibration data from the array of detectors while the third plane is above the top of the object; cause the platform to simultaneously rotate and raise the object vertically upwards; acquire scan data of the object; and generate a three dimensional scan image of the object.

The invention relates to a computer-implemented method of liver resection surgery planning, comprising the steps of: processing (E2) preoperative computed tomographic images (10) of a patient to generate liver, liver lesion (ss) and venous vessels segmentations; pruning the venous vessels segmentation to retain only major vessels and determining (E3) a primary hepatic zone (PHZ) from the retained major vessels; determining (E4) at least one quantitative feature from the primary hepatic zone, the liver segmentation and the liver lesion(s) segmentation; processing (E5) the determined quantitative features with a classification model to determine a liver resection complexity score for the patient.

The present disclosure relates to the field of nuclear imaging and therapy, and more specifically to high purity copper radiotracer compositions useful in imaging, such as positron emission tomography (PET) and single-photon emission computerized tomography (SPECT), and therapy. More specifically, the present disclosure relates to novel compositions useful in imaging and treatment of conditions such as prostate cancer, somatostatin receptor-expressing tumors, like neuroendocrine tumor, epithelial tumors, as well as to methods wherein such compositions are prepared.

The invention relates to a reconstructed image anti-aliasing processing method based on an adaptive sampling rate, belongs to the technical field of CT (Computed Tomography) reconstructed image processing, and solves the problem that the existing anti-aliasing processing method for a CT reconstructed image is poor in effect. The anti-aliasing processing method for the reconstructed image comprises the following steps: preprocessing the reconstructed image to obtain a to-be-processed image; performing edge extraction on the to-be-processed image based on a preset gradient threshold and a preset Sobel operator, and segmenting the to-be-processed image into a to-be-replaced image region and a reserved image region; determining an adaptive sampling rate based on the horizontal direction edge pixel connection number and the vertical direction edge pixel connection number of all sawtooth vertex pixels in the to-be-processed image; determining a pixel value of each pixel in the to-be-replaced image region based on the adaptive sampling rate and the to-be-processed image, and obtaining a replaced image region; and combining the replaced image area and the reserved image area to obtain an image after anti-aliasing processing. And the anti-aliasing effect of the CT reconstructed image is improved.

Examples may provide a method of producing a synthetic computed tomography (CT) image. The method includes generating, by a computer, a synthetic tumor image using a simulated tumor development model. The method also includes integrating, by the computer, the synthetic tumor image with a reference CT image. Examples may also provide electronic neural networks trained using sets of synthetic CT images. Additional methods as well as related systems and computer readable media are also provided.

One or more example embodiments relates to a gantry for a computed tomography device, the gantry comprising an opening forming a tunnel extending along a system axis of the gantry; a first gantry part including an X-ray source configured to produce X-ray radiation, the first gantry part annularly surrounding the opening; a second gantry part supporting the first gantry part; a linear guide, the first gantry part is movably mounted via the linear guide such that a translational movement of the first gantry part relative to the second gantry part is executable along the system axis; a threaded spindle, the threaded spindle is rotatably mounted about a spindle rotation axis via a spindle rotary bearing relative to the second gantry part, the spindle rotation axis is parallel to the system axis; a screw drive, the screw drive is configured to convert a rotational movement of the threaded spindle.

The invention provides a radiographic image report generation method and system of a CT image, and the method comprises the steps: firstly transmitting an input CT image into a region division module, carrying out the whole-organ segmentation of the image, then distributing a whole-organ segmentation result according to a preset anatomical region with clinical significance, obtaining an anatomical region image with clinical significance, and carrying out the whole-organ segmentation according to a preset anatomical region with clinical significance. An anatomical area image with clinical significance is sent to a report generation module, an area image report text is generated, the report text and an original image are sent to a text-driven focus detection module, the position of a focus in the image is obtained and reported, and a doctor modifies the area image report and then sends the area image report to a report writing module to generate a final report. And meanwhile, the report modified by the doctor and the report automatically generated by the model are sent to an AI report generation quality evaluation module, so that the model carries out immediate update learning.

The utility model discloses a movable workpiece defect scanning device, belongs to the technical field of industrial CT (Computed Tomography), and is used for solving the technical problem that industrial vertical scanning equipment is inconvenient to carry out outdoor detection on workpieces. The moving device comprises a moving carrier, a scanning device and a moving channel, the moving channel comprises a first channel and a second channel, the first channel and the second channel are detachably connected with the two ends of the scanning device respectively, each of the first channel and the second channel comprises a universal wheel and a workpiece conveying belt, and the scanning device comprises a rotating body and a rotating balance assembly. The workpiece defect scanning device disclosed by the utility model can be quickly moved and arranged indoors and outdoors, so that self-adaptive rotating balance is realized, and the scanning precision is improved.

A medical image processing apparatus according to one embodiment includes processing circuitry. The processing circuitry acquires a plurality of pieces of energy bin data that are generated based on execution of photon counting CT scan. The processing circuitry reconstructs a plurality of energy band images based on the plurality of pieces of energy bin data. The processing circuitry generates, based on the plurality of energy band images, a three-dimensional histogram based on a plurality of pixel values and a plurality of energy bands included in the plurality of energy band images.

The invention provides a volume photocuring three-dimensional printing method and device based on oxygen permeation interface dynamic oxygen inhibition control, and relates to the technical field of photocuring additive manufacturing. The volume photocuring three-dimensional printing method comprises the following steps that a resin cavity is prepared, the closed container is formed by compounding an oxygen permeable membrane and a transparent rigid material; establishing an oxygen inhibition layer: maintaining air or oxygen-containing atmosphere outside the closed container, so that oxygen continuously permeates into a resin boundary area through the oxygen permeation membrane to form the stable oxygen inhibition layer; volume light field projection: projecting a projection image generated by a computed tomography algorithm into the resin volume by adopting a calculation axial photoetching type multi-angle projection mode to realize multi-angle rotary projection exposure; edge curing is delayed through the boundary oxygen inhibition layer, the problem that the boundary light dosage of traditional volume printing is not uniform is solved, the final forming volume is enlarged by 1.5-3 times compared with the prior art, and the size bottleneck of volume light curing printing is effectively solved.

The embodiment of the invention discloses a method and system for emission computed tomography for animal imaging. The method comprises the steps that a plurality of imaging animals are placed on a plurality of trays in preset placement postures, each tray is configured to place one imaging animal, each tray comprises a body part fixing part, and the body part fixing parts are configured to fix the preset placement postures of the imaging animals placed on the body part fixing parts; placing a plurality of trays on the supporting part of the multi-imaging animal fixing device; the multi-imaging-animal fixing device is placed in an animal cabin of scanning equipment, and emission computed tomography is carried out on multiple imaging animals at the same time.

Embodiments are directed to a new imaging modality called X-ray-induced acoustic computed tomography (XACT) technology and can be combined with traditional pulse and echo ultrasound imaging. It has the capability of real-time monitoring of geometric and morphological misalignments of the X-ray field with respect to the target tissue, thus improving radiotherapy tumor eradication and limiting treatment side effects. The XACT / US image-guided radiotherapy system according to embodiments holds great potential for personalized cancer treatment and better outcomes.

The utility model relates to a computer and power distribution cabinet body for a CT machine, which comprises a plurality of layers of drawers arranged in an upper layer area and connected to computer area support columns arranged on two sides along the height direction of the cabinet body in a drawable manner; the emergency power supply and switch supporting plates in the middle area are horizontally mounted on the upright posts on the two sides of the cabinet body; the power distribution unit installation area of the lower layer area comprises a front panel and a rear panel, and further comprises four power area supporting columns arranged in the height direction of the cabinet body, gaps are formed between the power area supporting columns and the front panel and between the power area supporting columns and the rear panel respectively, the front panel is provided with input and output terminal holes matched with input and output terminals of a power distribution unit, and the rear panel is provided with input and output terminal holes matched with input and output terminals of the power distribution unit. The rear panel is provided with protection and control terminal holes matched with protection and control terminals of the power distribution unit. The power distribution unit is installed on a supporting crossbeam at the bottom of the cabinet body. According to the utility model, the technical problems of low space utilization rate and unreasonable layout of the CT cabinet body in the prior art are solved.

The utility model relates to an in-situ torsion experiment device for X-ray CT (Computed Tomography), and belongs to the technical field of scientific instruments for in-situ torsion experiments for X-ray CT. Comprising a driving assembly, a torque sensor and a clamp assembly. Two ends of a shaft of the torque sensor are respectively connected with the driving assembly and a clamp. The driving assembly comprises a motor, an outer shell, a worm gear and a worm, the worm gear and the worm are rotationally arranged in the outer shell and meshed, the upper end of the worm gear is in key connection with the lower end of the torque sensor, and one end of the worm is connected with the output end of the motor. The driving assembly is stable in transmission during an experiment, has a self-locking function, prevents reverse rotation, improves the detection accuracy, is compact in structure, has a large transmission ratio, is suitable for speed reduction, is low in noise and small in vibration, and effectively prevents the influence on other works in a laboratory.

The invention relates to a cable guidance system (10) for a computed tomography system, wherein a gantry (2) of the computed tomography system is adjustable in a horizontal plane, the cable guidance system (10) comprising: - a guide connection (17) arranged on the gantry (2), - a gantry articulated arm (12) and a center articulated arm (11), wherein the gantry articulated arm (12) is pivotably connected to the guide connection (17) by means of a first joint (14) and to the center articulated arm (11) by means of a second joint (14), - a ceiling column (13) with a column head (13a) that can be attached to a ceiling and a column body (13b) arranged on the column head (13a), wherein the central articulated arm (11) is rotatably attached about the longitudinal axis (L) of the column at a coupling point (13c) of the column body (13b) that is opposite the column head (13a), wherein the ceiling column (13), the gantry articulated arm (12) and the central articulated arm (11) are designed to guide at least one supply line (19) along their longitudinal axes to the guide connection (17).

CT images from the neck, lung, cardiac, abdominal, pelvis, hip, spine or lower extremity areas are obtained and analyzed by a computer to measure trabecular bone density on each level it is available, in the spine and hip. Any bone tissue associated with vertebrae that is fractured is excluded, along with Schmorl's nodes, large blood vessels, and cortical bone, to accurately average the trabecular bone density on a scan. The density of fat, heart, and muscle tissue of a subject is used to calibrate the results. That data may be input to an absolute fracture risk model (Fracture Risk Algorithm calculator). Information such as bone density, T score, Z score, fracture risk, and identification of vertebral fractures (if present) may be determined and reported.

The utility model relates to the technical field of medical instruments, and discloses a body position keeping device for patient CT (Computed Tomography) detection, which comprises a bed board, a first cavity is formed in the bed board, the inner side wall of the first cavity is connected with a connecting plate in a sliding manner, and the two ends of the connecting plate are fixedly connected with sliding blocks; a mounting block is fixedly connected to one side of the bed board, a sliding groove is formed in the top of the mounting block, the sliding block is slidably connected to the interior of the sliding groove, and a motor is fixedly connected to the inner bottom wall of the first cavity. According to the body position keeping device for CT detection of the patient, through the arrangement of connecting plates, a motor, a threaded rod, a movable block and a connecting rod, when the body position keeping device is used, firstly, the motor is started to drive the threaded rod to rotate, so that the movable block is driven to move, the angle of the connecting rod is changed, and the two connecting plates are driven to get close; therefore, the two baffles are driven by the sliding blocks to clamp the patient, and the stability of the patient at the side position is guaranteed.

The application discloses a urethral stone fragment identification method, and relates to the technical field of image enhancement, and the method comprises the following steps: acquiring a urethral CT scan image sequence of a target patient in a preset window; obtaining a urethral CT scan image identified stone fragment size set sequence and a urethral CT scan image identified stone fragment position set sequence; performing mapping fusion risk identification to obtain a fusion risk factor sequence; and determining a stone fragment identification result according to the size of the fusion risk factor in the fusion risk factor sequence. The application solves the technical problem of low recognition accuracy and automation degree and single dimension in the prior art when urethral stone fragments are identified. The technical effect of reliable stone fragment identification is achieved.

The disclosure provides a subclinical valve leaflet thrombosis auxiliary identification method, system and signal acquisition device after transcatheter aortic valve replacement, belonging to the technical field of heart information acquisition and identification. The subclinical valve leaflet thrombosis auxiliary identification method is used for auxiliary diagnosis of subclinical valve leaflet thrombosis after transcatheter aortic valve replacement, comprising: collecting a heart sound signal, processing the heart sound signal, obtaining preset parameters of the heart sound signal, and the preset parameters at least including time, frequency and energy; determining a systolic period according to the heart sound signal; identifying the highest energy point in the characteristic interval of the systolic period; obtaining the characteristic frequency corresponding to the highest energy point, and judging whether the characteristic frequency is greater than the threshold frequency, if yes, marking the heart sound signal as an abnormal heart sound signal caused by subclinical valve leaflet thrombosis; if not, marking the heart sound signal as a normal heart sound signal. The method solves the problem that the subclinical valve leaflet thrombosis detection mainly uses multi-dimensional computed tomography, which leads to limited scope of application.

The invention provides an AI active flow control single-phase immersed heat dissipation system and a data center. The system comprises a micro thermoelectric effect sensor array, a distributed acoustic transducer array, a micro electro mechanical system pump valve network and a system controller, wherein the micro thermoelectric effect sensor array and the distributed acoustic transducer array are arranged in a cabinet, and the micro electro mechanical system pump valve network is integrated in a flow channel. The controller cooperatively controls the acoustic transducer array to emit coded sound waves and receive echoes, and reconstructs a three-dimensional flow velocity field in the cabinet based on the computational tomography principle; meanwhile, reading of the thermoelectric effect sensor array is obtained and processed into a three-dimensional heat flow vector field; and finally, generating a control instruction based on the two three-dimensional fields, and independently driving each pump valve in the pump valve network of the micro-electro-mechanical system to perform targeted heat dissipation. The core problems of information asymmetry and control granularity mismatch in an existing immersed heat dissipation technology are fundamentally solved, and conversion from macroscopic passive heat dissipation to microcosmic active flow control is achieved.

The application relates to a medical imaging system, a medical imaging method and a computer readable storage medium. The method comprises the following steps: obtaining first projection data by detecting radioactive rays passing through a first scanning field of view, and simultaneously detecting a part of radioactive rays in radioactive rays not passing through the first scanning field of view but passing through a second scanning field of view to obtain second projection data, wherein the second scanning field of view is larger than the first scanning field of view, and the first scanning field of view is located in the second scanning field of view; obtaining third projection data corresponding to the second scanning field of view based on the first projection data and the second projection data; and reconstructing a tomographic image in the second scanning field of view based on the third projection data. Through the application, the problem that the signal in the extended scanning field of view obtained by speculation is greatly different from the real signal in the related art is solved, and the reconstruction quality of the computer tomographic image is improved.