40 results about "Mammography" patented technology

This invention discloses a positioning support device for a mammography machine in radiology, belonging to the field of medical device technology. The positioning support device includes a movable guide rail, a mounting base slidably connected to the movable guide rail, a standing plate rotatably connected to the mounting base, a back plate fixed to one side of the top of the standing plate, two sets of shoulder fixation components symmetrically and slidably connected to the back plate, and an adjustable lumbar support pad slidably connected to the back plate. The shoulder fixation components and the lumbar support pad move up and down synchronously. A seat plate is also movably connected to the back plate, and a hidden groove matching the seat plate is provided on the back plate, located below the shoulder fixation components. This positioning support device allows patients to have their shoulders fixed in a normal standing position for convenient examination, and also allows patients to undergo mammography in a seated position. The seat position is rotatable and movable, and patients can easily get in and out of the seat. Furthermore, this positioning support device also provides effective support for the patient's lower back.

According to an exemplary embodiment of the disclosure, an imaging system and method is provided for determining the need for generation of enhanced diagnostic images of a patient. The imaging system includes a radiation source operable at to emit radiation at multiple energy levels, a detector alignable with the radiation source, a controller operably connected to the radiation source and detector to generate image data in an imaging procedure, and a computer aided detection (CAD) system configured to analyze low energy (LE) images to locate regions of interest (ROI) and / or other triggering attributes, characteristics or findings within the object. Upon locating one or more triggering attributes, characteristics or findings within the LE images, the system and method can acquire one or more high energy (HE) images of the object, and can process the one or more LE images and the one or more HE images to form enhanced diagnostic images.

The invention relates to a mammography system having a stand unit for locating the mammography system on the floor; an L-shaped source unit, the L-shaped source unit including an arm connected to an X-ray detector in a rotatably mounted manner on a front face of the stand unit, and another arm of the L-shaped source unit protrudes substantially perpendicularly, an X-ray source being located at an end of the source unit remote from the stand unit; and a substantially U-shaped protective unit.

The utility model discloses a kind of compressor identification detection structure and breast machine for breast machine.The described compressor identification detection structure includes photoelectric detection module and compressor, the photoelectric detection module is installed in the installation port, the compressor is provided with the lead-in seat compatible with the installation port, the lead-in seat is provided with locking module and detection identification board, the locking module is locked in the installation port when the lead-in seat is inserted into the installation port, the detection identification board is detected by the photoelectric detection module when the lead-in seat is inserted into the installation port;Breast machine includes breast machine host, the breast machine host is provided with riser and bearing table, the bearing table is located below the riser, the riser is provided with installation port, the installation port is provided with the described identification detection structure, and the breast machine host is electrically connected with remote control system. The utility model is applied to the technical field of breast machine.

A mammography apparatus including: an imaging table that has a placement surface on which a breast is placed; a protective cover that includes a first magnetic object at a predetermined first position and is mounted on the placement surface; and a sample tray that includes a second magnetic object and a housing part of a sample and is placed on the placement surface via the protective cover, the second magnetic object being attracted to the first magnetic object by a magnetic force, wherein the sample tray is configured to be magnetically attached to the predetermined first position of the protective cover by the first magnetic object and the second magnetic object.

Mammography system (100), comprehensive - a swivel arm (108, 308, 508, 608, 708, 1008, 1108), - an X-ray source (102), and - a protection unit (103, 203, 303, 403, 503, 603, 703, 803, 903, 1003, 1103, 1203, 1303, 1403, 1503), wherein the swivel arm (108, ..., 1108) is designed to swivel the X-ray source (102), where the protection unit (103, ..., 1503) is arranged in a stationary position, wherein the protective unit (103, ..., 1503) is arranged in a protective position to prevent a collision between a patient and the swivel arm (108, ..., 1108), wherein the protection unit (103, ..., 1508) has a removable section (203.2, 303.2, 403.2, 503.2, 603.2, 703.2, 803.2, 903.2, 1003.2, 1103.2, 1203.2, 1303.2, 1403.2, 1503.21, 1503.22) and a fixed section (203.1, 303.1, 403.1, 503.1, 603.1, 703.1, 803.1, 903.1, 1003.1, 1103.1, 1203.1, 1303.1, 1403.1, 1503.1) includes wherein the removable section (203.2, ..., 1503.22) of the protective unit (103, ..., 1503) can be removed from the protective position.

Examples relate to a method comprising using a non-target tissue model to virtually purify an experimental electrical impedance signal with respect to target tissue. A method comprisingobtain a purifying impedance transfer function based on an electrical impedance model with one or more non-target tissue components and without a target tissue component; andpurifying an experimental electrical impedance signal using the purifying impedance transfer function to obtain a virtually purified signal for the target tissue component. A method comprising: in dependence upon age and / or a measure of obesity, access an impedance transfer function dependent upon non-tumor tissue; modify an experimental electrical impedance signal using the obtained impedance transfer function to obtain a signal less dependent upon non-tumor tissue and more dependent upon tumor tissue impedance.

A breast cancer comprehensive diagnosis system based on combination of tactile information and a mammary gland molybdenum target image optimizes tactile, image and physiological data through a data preprocessing technology to improve the accuracy of subsequent diagnosis, and a feature fusion technology of multi-modal data ensures the maximum utilization of information between data sources, so that the accuracy of diagnosis is improved. According to the breast cancer automatic diagnosis method based on the multi-task processing, the robustness of the model is further enhanced, the model strategy of multi-task processing enables classification, segmentation and frame selection to be more accurate, and a high-performance solution is provided for automatic diagnosis of the breast cancer, and tactile information, a mammary gland molybdenum target image and patient baseline information are combined, so that the accuracy of diagnosis of the breast cancer is improved. Feature extraction and fusion are carried out by adopting CNN, Transformer, Bernoulli distribution, Fourier technology and other methods, and finally accurate diagnosis of breast cancer is realized.

A breast rest for a mammography device includes a front panel on a patient-facing side of the breast rest and a top panel having a concavity configured to accommodate a breast of a patient. A transition from the front panel to the top panel can be curved. The breast rest can be included in the mammography device. The breast rest can further include side panels. The breast rest can further include an open end to receive a breast test instrument. Multiple sizes and / or shapes of the breast rest can be provided and selected from based on patient data. Breast rests can be manufactured for particular patients having sizes and / or shapes determined from patient data.

The invention discloses a high-precision rotating system of a mammary gland machine, the mammary gland machine comprises a pulley plate, a main shaft, a bulb tube arm and a detector arm, the high-precision rotating system comprises a C arm rotating mechanism and a bulb tube arm rotating mechanism, one end of the main shaft is arranged on the pulley plate through the C arm rotating mechanism, and the other end of the main shaft is fixedly connected with the detector arm; the bulb tube arm is arranged in the middle of the main shaft through the bulb tube arm rotating mechanism, and the main shaft is a hollow shaft; the C-arm rotating mechanism comprises a worm gear I, a worm I and a limiting ring; the bulb tube arm rotating mechanism comprises a second worm gear, a second worm and two limiting check blocks.

This invention relates to the field of medical technology and discloses a self-supervised breast cancer classification method, comprising the following steps: S1: Image acquisition and dataset creation: acquiring contrast-enhanced spectral images of different modalities and multimodal contrast-enhanced spectral mammography images; S2: Data preprocessing: preprocessing the multimodal contrast-enhanced spectral mammography images, cropping the images, and performing pixel mean squarening; S3: Image feature extraction: extracting image features using a Vision Transformer model and providing image category predictions; S4: Loss calculation: calculating the distortion entropy of the predicted classification result and the information entropy loss between the category confidences generated by the classification branches of the two spectral images. This invention improves speed while ensuring accuracy, balancing the relationship between accuracy and efficiency, and proposes a breast cancer image classification model with high accuracy, fast speed, strong robustness, and good adaptability.

A calibration jig is attached to a biopsy apparatus used in combination with a mammography apparatus, and that is for performing calibration to match three-dimensional coordinate systems of the mammography apparatus and the biopsy apparatus, and the calibration jig includes a pseudo biopsy needle that is a pseudo needle of a biopsy needle that is actually used in the biopsy apparatus; and a marker that has a plurality of parts each of which a positional relationship with a needle tip of the pseudo biopsy needle is known.

A medical image acquisition apparatus including: a biopsy apparatus; an imaging table that is used to capture an image of a living body disposed on an imaging surface with an imaging apparatus; a projector that projects the image; and at least one processor, wherein the processor performs control of projecting relevant information associated with each execution stage of a biopsy that is performed on the living body using the biopsy apparatus, from the projector toward the imaging surface of the imaging table for each execution stage.

A breast rest for a mammography device includes a front panel on a patient-facing side of the breast rest and a top panel having a concavity configured to accommodate a breast of a patient. A transition from the front panel to the top panel can be curved. The breast rest can be included in the mammography device. The breast rest can further include side panels. The breast rest can further include an open end to receive a breast test instrument. Multiple sizes and / or shapes of the breast rest can be provided and selected from based on patient data. Breast rests can be manufactured for particular patients having sizes and / or shapes determined from patient data.

The invention relates to the technical field of image acquisition, in particular to a mammary gland X-ray photography exposure parameter optimization method, device, equipment and medium, and the method comprises the steps: carrying out the radiation simulation of each mammary gland model in a pre-established individualized digital mammary gland model library through a pre-established GPU acceleration Monte Carlo simulation system, calculating the average gland dosage of each mammary gland model under different exposure parameter combinations; inserting a plurality of lesion features into each mammary gland model to obtain a lesion-containing mammary gland model, and evaluating lesion visibility of the lesion-containing mammary gland model by using a non-pre-whitening observer model to obtain a non-pre-whitening coefficient of each mammary gland model; and screening out a final exposure parameter combination according to the average gland dosage and the non-pre-whitening coefficient of each mammary gland model under different exposure parameter combinations. Therefore, the problem that the existing exposure parameter optimization research excessively depends on a homogeneous motif and empirical parameter adjustment, so that the exposure parameter optimization method has significant limitation is solved.

The invention discloses a mammary gland X-ray photography equipment motion control system and a mammary gland X-ray photography equipment motion control method based on multi-axis coordination control. The mammary gland X-ray photography equipment motion control system comprises a main controller module which is responsible for overall motion process control, state management and parameter configuration and communicates with each control module through a CAN bus; the C-arm rotation control module, the bulb tube rotation control module and the stand column lifting control module all comprise corresponding drivers, motors and encoders, and corresponding rotation control and lifting control are achieved. The C-arm rotation control module, the bulb tube rotation control module and the stand column lifting control module are respectively connected with a corresponding encoder and decoder feedback module, each encoder feedback module is connected with the main controller module through a CAN bus, position information of each motion shaft is monitored in real time, and accurate position feedback is provided for closed-loop control. According to the control method, by controlling the control system, multi-axis coordination control over the mammography equipment is achieved, and the motion precision, the control stability and the operation efficiency are greatly improved.

The invention relates to a mammography apparatus (1), the mammography apparatus (1) comprising:-a control device (2); a stage (3) for placing a breast (4) of a subject (5); -compression means (6) for compressing the breast (4) arranged on the stage (3); at least one operating element (8) for increasing and / or decreasing the compression force acting on the breast (4) of the subject (5); and-a detection device (7) for detecting compression information describing the presently acting compression force, the operating element (8) having an actuator (10) for haptic information output, and the control device (2) being configured to actuate the actuator (10) in accordance with the compression information in order to generate a haptic feedback.

A hybrid quantum computing system for the multimodal detection and classification of breast cancer, comprising: an input module configured to receive multimodal medical breast images containing at least one of the following features: mammography images, ultrasound images, and / or histopathological images; a preprocessing module configured to perform noise reduction, normalization, and segmentation of relevant areas on the received multimodal medical breast images; a feature extraction module comprising a hybrid quantum-classical convolutional neural network-based deep feature extractor configured to extract deep features from the preprocessed images, and a handcrafted feature extractor configured to extract handcrafted features encompassing texture features, shape features, and statistical features from the preprocessed images;a quantum-optimized feature fusion module configured to encode the deep features and hand-crafted features into a quantum-inspired representation, apply superposition-based transformations to the encoded features, and apply entanglement-based transformations to the encoded features to generate fused features; a classification module consisting of a hybrid neural classifier configured to process the fused features to predict a diagnostic classification of benign or malignant tissue; and an output module connected to a user interface and configured to provide a diagnostic decision and confidence score based on the predicted diagnostic classification, which are then displayed via the user interface.

The embodiment of the invention discloses an identification method, device and system for mammography, a host, a medium and a mammography X-ray machine. The method comprises the following steps: acquiring a mammary gland X-ray image of a detection target; determining a region of interest in the mammary gland X-ray image; determining positioning information of a target region corresponding to the region of interest in the detection target; and based on the positioning information, marking the target area on the surface of the detection target in an optical projection mode. Accurate automatic labeling independent of technician experience is achieved, and the method is suitable for various application scenes such as biopsy.

The invention relates to a method for the automated determination of the position of the needle tip (N) of a biopsy needle (32), which is arranged in a needle holder (31) and can be moved along the longitudinal axis of a biopsy unit (30) for biopsy by means of the biopsy unit (30) and is guided by means of a needle guide (33), the method comprises the following steps: positioning the biopsy needle (32) in a needle holder (31), ascertaining the position of at least the needle tip (N) of the biopsy needle (32) by means of a sensor (35), and automatically calculating the distance from the needle tip (N) to a reference point. In addition, the invention comprises a device and a mammography system.

A method for image processing of mammography image data from a mammography system, comprises: acquiring mammography image data of a breast of a patient; and determining corrected mammography image data based on the mammography image data, wherein the corrected mammography image data is modified to at least partially compensate for the influence of the cutout on the representation of the breast in the mammography image data.

This invention belongs to the field of computer-aided medical image technology, specifically relating to an improved self-supervised detection method for mammogram images. Based on Faster R-CNN and combined with improved self-supervised pre-training, this invention can effectively detect lesion regions in mammogram images and classify them as benign or malignant. Using a computer-aided diagnostic system to assist doctors in diagnosis significantly reduces their workload, which is of great significance. Compared to natural images, medical image data is difficult to obtain and annotation is expensive. Therefore, the object detection in this invention combines self-supervised pre-training, allowing the model to achieve better results using unlabeled images.

Systems and methods for providing a visual representation output descriptive of a preliminary diagnosis can include obtaining radiograph data, processing the radiograph data with a machine-learned model to generate one or more classification outputs, and generating the visual representation output based on the one or more classification outputs. The visual representation output can be generated such that the visual representation output can be provided for display on a plurality of different display types with a plurality of different technical capabilities.

The present application relates to the field of medical image processing, in particular to an artificial intelligence assisted early tumor screening image analysis system, comprising: a data preprocessing module for normalizing chest CT, breast mammography X-ray and cervical TCT examination medical images and unifying them into DICOM format; an image segmentation module for segmenting suspicious disease sites based on differential geometry feature analysis, including a manifold feature extraction unit, a curvature analysis enhancement unit and a geodesic flow attention fusion unit; a disease classification module for judging disease types using a ResNet network structure; and a risk assessment module for assessing the risk of suspicious lesions through X-GBoost and residual model; the present application combines differential geometry theory and deep learning technology, effectively solves the technical problems in early detection of small tumors through manifold representation, curvature analysis and geodesic flow attention mechanism, significantly improves the small target detection rate and reduces the false positive rate.

The utility model provides a mammary gland molybdenum target operation training teaching model, which relates to the technical field of mammary gland molybdenum target operation training and comprises a base, a first square groove is arranged on the upper surface of the base, a placing seat is slidably arranged in the first square groove, and a lifting assembly is arranged between the placing seat and the base. According to the utility model, the placing seat is arranged, the servo motor drives the threaded rod to rotate, the first sliding block and the second sliding block are close to each other, the first supporting plate and the second supporting plate are made to rotate, the placing seat is pushed upwards, the placing seat, the mammary gland molybdenum target operation model and a tutor standing on the placing seat are made to rise, and at the moment, students surround the base; the students in the front row are prevented from blocking the sight lines of the students in the back row, so that the operation content cannot be watched, and the repeated operation frequency of the tutor is reduced.

According to one aspect of an exemplary embodiment of the present disclosure, a medical imaging system includes a gantry having a radiation source, a detector adapted to receive radiation emitted from the radiation source to generate image data and defining a compression surface, a first support structure and a second support structure moveably disposed on the gantry, a controller, and a biopsy positioner attached to one of the first support structure or the second support structure. The biopsy positioner includes a base engaged with the first support structure or the second support structure, and a positioning arm connected to the base, the positioning arm including a first arm moveably connected to the base and a second arm moveably connected to the first arm, wherein the first arm and the second arm are moveable between a vertical position and lateral positions on opposed sides of the base.

A mammography apparatus, comprises: a control device; an object support for placement of a breast of a patient; a compression device to compress the breast arranged on the object support; at least one operating element to at least one of increase or decrease a compression force acting upon the breast; and an acquisition device to acquire an item of compression information describing the compression force currently acting on the breast. The at least one operating element includes an actuator to output haptic information. The control device is configured to activate the actuator based on the item of compression information to generate haptic feedback.

The invention relates to a method for processing mammography images of a breast, comprising the steps of: - providing CC images (LC, HC) of the breast, which were acquired with the breast in a craniocaudal orientation (O) using two different exposure energies, wherein a LE-CC image (LC) was acquired with the lower exposure energy and a HE-CC image (HC) was acquired with the higher exposure energy; - providing MLO images (LM, HM) of the breast, which were acquired with the breast in a mediolateral orientation (O) using two different exposure energies, wherein a LE-MLO image (LM) was acquired with the lower exposure energy and a HE-MLO image (HM) was acquired with the higher exposure energy; - generating an R-CC image (RC) by recombinating the LE-CC image (LC) and the HE-CC image (HC); - generating an R-MLO image (RM) by recombinating the LE-MLO image (LM) and the HE-MLO image (HM), - Searching images for pathologies (L),- Classifying the pathologies (L), wherein the LE-CC image (LC) is compared with the R-CC image (RC) and with the LE-MLO image (LM), and the R-MLO image (RM) is compared with the LE-MLO image (LM) and with the R-CC image (RC), - Outputting at least the classifications (K) of the pathologies (L). The invention further comprises a method, a device, and a mammography system.

The invention relates to a mammography system (101) for determining the three-dimensional shape of a breast (O). The mammography system (101) comprises an X-ray source (104), an X-ray detector (105), means for projecting at least one marker (210, 220, 320) onto the breast, wherein the marker (210, 220, 320) is transparent to X-rays (R), a camera (102) for detecting the projected marker (220, 320), and a processing unit (110.2) for determining (DET) the three-dimensional shape of the breast (O) as a function of the detected projected marker (220, 320) and for providing (PROV) the determined three-dimensional shape of the breast (O).

This invention discloses a rotational balancing mechanism for a breast cancer machine. The breast cancer machine includes a trolley plate, a main shaft, a X-ray tube arm, and a detector arm. The rotational balancing mechanism includes a C-arm rotational balancing module and a X-ray tube arm rotational balancing module. The C-arm rotational balancing module is located between the main shaft and the trolley plate, and the X-ray tube arm rotational balancing module is located between the main shaft and the X-ray tube arm. The C-arm rotational balancing module includes a reversing wheel, a transmission belt, a first gas spring, and a first balance ring. The reversing wheel is rotatably mounted on the trolley plate, the first balance ring is fixed on the main shaft, the first gas spring is mounted on the trolley plate, the rod of the first gas spring is fixedly connected to one end of the transmission belt, and the other end of the transmission belt is fixedly connected to the first balance ring. The transmission belt is wound around the reversing wheel. The X-ray tube arm rotational balancing module includes a connecting belt, a second gas spring, and a second balance ring. The second balance ring is fixed on the main shaft, the second gas spring is mounted on the X-ray tube arm, the rod of the second gas spring is fixedly connected to one end of the connecting belt, and the other end of the connecting belt is fixedly connected to the second balance ring.