208 results about "Breast tissue" patented technology

The inventions provided herein relate to injection applicators, tissue markers and uses thereof, e.g., to mark a target tissue site (e.g., a biopsy site in a breast tissue) or to produce a cell scaffold. The tissue markers described herein are designed to be resistant to fast migration (e.g., immediate migration after implantation through a needle track) and slow migration (e.g., over an extended period of time) upon implantation at a target tissue site (e.g., a biopsy site in a breast tissue), without using an adhesive. Additionally or alternatively, the tissue markers described herein can be readily detectable by at least one imaging modality, e.g., but not limited to magnetic resonance imaging, X-ray imaging, ultrasound imaging, or a combination thereof.

A collection of bras includes a first set providing a first level of support to breast tissue. Each bra in the first set includes a first inner layer, a first outer layer, and a first printed reinforcement layer positioned between the first inner and outer layers. The collection includes a second set providing a second level of support to breast tissue. Each bra in the second set includes a second inner layer, a second outer layer, and a second printed reinforcement layer positioned between the second inner and outer layers. A weight of the first inner layer and first outer layer is less than that of the second inner layer and second outer layer, an amount of printed material in the first printed reinforcement layer is less than that in the second printed reinforcement layer, and the first level of support is less than the second level of support.

The invention discloses intelligent wearable equipment for breast health monitoring and a data analysis system and method. The equipment comprises a plurality of wearable ultrasonic patches, a wireless communication module, a signal processing and control unit and a power management module. The data analysis system comprises a data acquisition system, a data transmission system, a data processing and analysis system and a user interaction system, and the data acquisition system is used for acquiring ultrasonic images of mammary tissue and physiological parameters of a mammary area; the data processing and analysis system comprises a data preprocessing module, a feature extraction module and a multi-modal deep learning algorithm module, data preprocessing, feature extraction and data fusion are achieved, and the user interaction system comprises a data visualization system and an early warning notification module. According to the invention, ultrasonic images and various physiological parameters of the mammary gland can be collected in real time, long-term, repeatable and non-invasive monitoring can be carried out on the mammary gland tissue, and early warning and risk assessment of mammary gland diseases can be realized.

Methods and systems for identifying a region of interest in breast tissue utilize artificial intelligence to confirm that a target lesion identified during imaging the breast tissue using a first imaging modality (e.g. x-ray imaging) has been identified using a second imaging modality (e.g. ultrasound imaging). A computing system operating a lesion matching engine utilizes a machine learning classifier algorithm trained on cases of x-ray images and corresponding ultrasound images in which lesions were identified for further analysis. The lesion matching engine analyzes a target lesion identified with x-ray imaging and a potential lesion identified with ultrasound imaging to determine a likelihood that the target lesion is the same as the potential lesion. A confidence level indicator for the lesion match is presented on a display of a computing device to aid a healthcare provider in locating a lesion in breast tissue.

The invention provides a degradable breast implant which is of a three-dimensional network structure and comprises a surface part and a filling part, the surface part is a first three-dimensional virtual boundary and is located on the periphery of the breast implant, the appearance of the first three-dimensional virtual boundary is of a preset shape, the size of the first three-dimensional virtual boundary is of a preset size, and the center position of the surface part is a base point; the surface part is filled with the filling part, the filling part is of a dot matrix structure formed by a plurality of lattice units, the fiber thickness of the lattice units is the line diameter, the dot matrix structure comprises a plurality of dot matrix layers which are connected and communicated with one another, the shape of the dot matrix layers is the same as a preset shape, and the size of the dot matrix layers is scaled down relative to the preset size. The line diameters of the same dot matrix layer are the same, and the line diameters of different dot matrix layers are gradually reduced from the base point to the surface part. The line diameters of the different dot matrix layers are designed to be gradually reduced in the direction from the base point to the surface part, so that the problem of non-uniform breast tissue regeneration and growth caused by no difference of the degradation speed of the breast implant is successfully solved.

The invention relates to the technical field of medical image processing, and discloses a multi-mode ultrasonic mammary gland and multi-mode fusion method. The method comprises the following steps: S1, acquiring medical images of at least two modalities of a mammary gland area, wherein the medical images comprise a first modal image and a second modal image; s2, performing standardization preprocessing on the first modal image and the second modal image; and S3, constructing a physical modeling model of the breast tissue based on the second modal image, and generating a tissue deformation displacement field to obtain tissue response information. By adopting a multi-modal ultrasonic mammary gland image registration and fusion technology and combining feature fusion and deformation field optimization based on an image neural network, the image registration precision is remarkably improved. Compared with a traditional image registration method in the prior art, the multi-modal image registration method not only optimizes the alignment effect among the multi-modal images, but also effectively reduces registration errors caused by modal differences, and particularly provides more accurate alignment on detail structures of breast tissues.

Various implementations include a breast tissue expander device. The device includes one or more tabs extending outwardly from a body of the device for coupling the device to the chest wall of a patient. The device further includes an aspiration port in fluid communication with a drain tube for draining body fluid, along with retention members for securing the drain tube to the body. The device may also include one or more flow barriers configured to prevent the inadvertent leakage of expansion fluid or body fluid from the device.

Methods and systems for identifying internal motion of a breast of a patient during an imaging procedure. The method may include compressing the breast of the patient in a mediolateral oblique (MLO) position. During compression of the breast, a first tomosynthesis MLO projection frame for a first angle with respect the breast is acquired and a second tomosynthesis MLO projection frame for a second angle with respect to the breast is acquired. Boundaries of the pectoral muscle are identified in the projection frames and boundary representations are generated. A difference between the first representation and the second representation is determined. A motion score is then generated based on at least the difference between the first representation and the second representation.

The invention relates to the technical field of deep learning, and provides a mammary gland blood oxygen dynamic imaging method and system based on multispectral fusion, and the method comprises the steps: irradiating mammary gland tissues, and collecting mammary gland tissue reflected light image sequences under different wavelengths to obtain multispectral time sequence data; constructing an adaptive weight prediction network model, and dynamically predicting the fusion weight of each spectral wavelength at different moments in the future according to the blood oxygen change intensity and historical time sequence information at the current moment; performing multi-resolution time sequence modeling on the multi-spectral time sequence data, respectively extracting short-term, medium-term and long-term time sequence features, and performing weighted fusion on the features of different spectral wavelengths through a fusion weight to obtain fusion feature data; and performing inversion processing on the fused feature data, and calculating oxyhemoglobin saturation distribution of a continuous time sequence in real time to obtain a dynamic blood oxygen image sequence. According to the invention, the blood oxygen detection precision and the depth resolution are improved, and high-precision dynamic imaging of the blood oxygen saturation of the breast tissue is realized.

A supportive undergarment configured to restrain movement of breast tissue in the superior direction is provided. The undergarment is configured to be used in conjunction with a conventional bra, especially an underwire-containing sports bra, without unnecessarily duplicating the support provided by the bra. The undergarment comprises a pair of supporting straps that are releasably anchored to the undergarment's lower circumscribing band via at least one anchor member. The supporting straps are configured to provide compression to the wearer's upper breast roots and arrest upward movement of the wearer's breasts.

The invention provides a breast cancer tissue anomaly detection method based on multi-frequency electrical impedance dynamic analysis, and the method comprises the steps: generating a multi-frequency electrical excitation signal covering a preset low frequency to a high frequency, applying the multi-frequency electrical excitation signal to a to-be-detected breast tissue through an electrode array, and synchronously collecting a response voltage signal. Orthogonal demodulation is carried out on the collected voltage signals, real and imaginary components of each frequency point are separated, a complex impedance value is calculated, and a multi-frequency impedance spectrum is generated. Feature vectors including amplitude-frequency characteristic slope, phase-frequency characteristic extreme point position, high-frequency-band impedance attenuation rate and the like are extracted from the impedance spectrum, a pre-trained dynamic judgment model is input to calculate a tissue anomaly index, and finally whether the mammary gland tissue is abnormal or not is judged according to a comparison result of the anomaly index and a preset threshold value. The accuracy of early detection of breast cancer can be improved, and the stability and reliability of detection are enhanced.

The invention relates to the technical field of preparation of health-care beverages, and particularly discloses a nodule-preventing radix angelicae and oyster peptide beverage and a preparation method thereof, and the nodule-preventing radix angelicae and oyster peptide beverage comprises the following raw materials: oyster peptide powder, a compound traditional Chinese medicine extract, zero-calorie syrup, xanthan gum, citric acid and purified water. The preparation method of the radix angelicae and oyster peptide beverage comprises the following steps: mixing the oyster peptide powder, the compound traditional Chinese medicine extract and the purified water, uniformly stirring, adding the zero-calorie syrup, the xanthan gum and the citric acid, homogenizing, and sterilizing to obtain the radix angelicae and oyster peptide beverage for preventing nodules. The prepared radix angelicae and oyster peptide beverage is high in nodule inhibition rate, serum E2 and P can be accurately adjusted to be balanced to be close to the normal level, and the core inducement of hormone imbalance is effectively corrected. The composition can significantly reduce the content of inflammatory factors such as TNF-alpha and IL-6 in mammary tissue, improve the SOD activity and reduce the MDA level, and strongly inhibit inflammatory response and oxidative stress injury.

An engineered adhesive fashion tape element comprising a constructed dynamic function includes a multilayered embodiment with strategically placed predetermined predisposed direction and designed with multilayered materials, a modern dynamic function solution lifting projecting and supporting a user's breast tissue and body tissue to defy gravity for a sustained period while wearing and functioning with daily activities. An adhesive tape and methodology to replace wearing a bra, for a healthier and improved solution so the user can have an alternative to wearing an underwire bra, and traditional bra, shapewear, breast tissue and body tissue shaping structure. An improved alternative to wearing an adhesive bra cup and shaping garments with a variety of fashion which achieves projection lift support and defies gravity for the breast tissue and body tissue.

Provided is a nanoparticle-mediated targeted drug delivery robotic system for the precision treatment of breast cancer. **Solution**: This system 100 integrates robot-assisted movement, real-time image processing, an artificial intelligence-driven control mechanism, and sensor-guided targeting to ensure the accurate delivery of therapeutic drugs to cancer tissue while minimizing damage to surrounding healthy structures. The system consists of a six-degree-of-freedom articulated robotic arm 102, a drug release control actuator 114, a targeting module 106 equipped with optical and electromagnetic sensors, and a control unit 110 equipped with machine learning technology for real-time decision-making. The image subsystem 112 utilizes magnetic resonance imaging, ultrasound, and infrared imaging to provide a detailed anatomical and functional view of breast tissue. The artificial intelligence-driven technology of this system continuously processes image and sensor data, guides the robotic arm towards the tumor site, and dynamically adjusts the positioning based on physiological movements and tissue changes. A force feedback mechanism minimizes tissue damage during insertion, and an automatic calibration system finely adjusts the movement of the robotic arm in real time. The actuator is designed as an electric syringe or a controlled valve system to accurately administer nanoparticle-based therapeutic drugs directly to the tumor, optimizing the drug efficacy while suppressing systemic toxicity.

An antenna-based system for hyperthermia treatment of breast cancer, consisting of: a G-shaped microstrip patch antenna configured for operation at an ISM frequency of 434 MHz and having dimensions of 3.6 cm × 3.8 cm × 1.6 cm; an aluminum cavity chamber to accommodate the G-shaped microstrip patch antenna; a coaxial feed line configured to allow an impedance matching of 50 ohms to the G-shaped microstrip patch antenna; a bolus of deionized water configured to surround the aluminum cavity chamber, wherein the bolus of deionized water is further configured to serve as a cooling medium for controlling the skin surface temperature, and wherein the bolus of deionized water is further configured to reduce hotspots and improve the radiation efficiency of the G-shaped microstrip patch antenna; and A polyethylene film was positioned between the G-shaped microstrip patch antenna and the bolus of deionized water to prevent interference between the G-shaped microstrip patch antenna and a breast tissue phantom.

The present invention relates to the field of medical imaging technology, and discloses a method, apparatus, device, and storage medium for prone breast ultrasound imaging, which are applied to prone breast ultrasound equipment. The method comprises: acquiring multiple pre-scan images of target breast tissue, the multiple pre-scan images including images acquired from multiple different angles of the target breast tissue; respectively identifying skin boundaries in the multiple pre-scan images; based on the skin boundaries identified in each pre-scan image, respectively acquiring target ultrasound emission angles perpendicular to the skin boundaries; and during formal scanning and imaging, emitting ultrasound perpendicular to the target breast tissue based on the target ultrasound emission angles to acquire an ultrasound image. The present invention can ensure that the ultrasound emission direction is as perpendicular to the target breast tissue as possible during prone breast ultrasound imaging, thereby improving ultrasound image quality.

The application belongs to the technical field of breast cancer treatment and detection, and specifically discloses a 3D-printed positioning device for breast cancer prone position treatment, which comprises a bottom plate fixed on a moving platform of a treatment and detection device, a first support, a second support and a third support arranged in sequence on the upper surface of the bottom plate along the movement direction of the moving platform, the first support, the second support and the third support being used for supporting a human body, a detection cavity being formed between the second support and the third support and used for accommodating breast tissue of the human body, a pressing part arranged on the upper surface of the bottom plate, the pressing part comprising a fastening belt, the inner surface of the fastening belt and the upper surface of the bottom plate surrounding a fixing cavity for the human body to pass through, the detection cavity being located in the fixing cavity, and the fastening belt being used for surrounding the rib part and the back of the human body and applying force to the human body, and the device has the following advantages: through the segmented support, the detection cavity and the fastening belt, the tissue overlap is effectively reduced, and the breast detection accuracy and stability are improved.

The application discloses a breast cancer examination tool based on collagen fiber multi-element fusion analysis, which is used for quantitative analysis of breast tissue collagen fiber structure characteristics and examination of breast tissue cancer level. The application can multidimensionally and comprehensively extract structure information of collagen fibers, and through multi-element fusion analysis of multiple structure parameters, the application improves information complementarity of breast tissue morphological characteristic analysis; the application realizes visualization of collagen fiber structure characteristics by using a pixel level resolution quantitative method and combining with a pseudo-color coding technology, and enhances intuitiveness of information; the application classifies and analyzes three potential biomarkers representing different breast cancer levels, provides a high-precision, automatic and rapid breast cancer level examination method, and has greater application potential compared with a traditional breast cancer examination method.

An engineered adhesive fashion tape element comprising a constructed dynamic function includes a multilayered embodiment with strategically placed predetermined predisposed direction and designed with multilayered materials, a modern dynamic function solution lifting projecting and supporting a user's breast tissue and body tissue to defy gravity for a sustained period while wearing and functioning with daily activities. An adhesive tape and methodology to replace wearing a bra, for a healthier and improved solution so the user can have an alternative to wearing an underwire bra, and traditional bra, shapewear, breast tissue and body tissue shaping structure. An improved alternative to wearing an adhesive bra cup and shaping garments with a variety of fashion which achieves projection lift support and defies gravity for the breast tissue and body tissue.

A method and breast imaging system for processing breast tissue image data includes feeding image data of breast images to an image processor, identifying image portions depicting breast tissue and high density elements and executing different processing methods on input images. A first image processing method involves breast tissue enhancement and high density element suppression, whereas the second image processing method involves enhancing high density elements. Respective three-dimensional sets of image slices may be generated by respective image processing methods, and respective two-dimensional synthesized images are generated and combined to form a two-dimensional composite synthesized image which is presented through a display of the breast imaging system. First and second image processing may be executed on generated three-dimensional image sets or two-dimensional projection images acquired by an image acquisition component at respective angles relative to the patient's breast.

The invention belongs to the technical field of medical ultrasonic imaging, and particularly relates to a low-frequency reverberation breast ultrasonic viscoelastic ultrafast imaging method and system based on FPINN. The low-frequency reverberation breast ultrasonic viscoelastic ultrafast imaging method comprises the following steps: acquiring and processing displacement data of a to-be-imaged breast tissue to obtain frequency domain information; obtaining shear wave velocities under different frequencies based on the frequency domain information, and obtaining elasticity, viscosity and flow data of the mammary tissue according to the shear wave velocities under different frequencies; and based on the obtained elasticity, viscosity and flow data of the mammary tissue, performing imaging processing by using the trained FPINN model to obtain an imaging result of the mammary tissue. According to the FPINN model, in the imaging processing process, the input elasticity, viscosity and flow data of the mammary tissue can be quickly converted into imaging results, and the real-time performance and accuracy of imaging can be improved.

The invention relates to an embroidery pattern for producing a mesh pocket to support an implant, specifically a breast implant, and / or tissue, specifically breast tissue, comprising a two-dimensional ring structure (1) with several spaced-apart concentric rings (1.1 - 1.13), each adjacent concentric ring (1.1 - 1.13) having several connections (2.1 - 2.12), wherein the connection length of the connections (2.1 - 2.12) formed between adjacent concentric rings, extending from one of the inner concentric rings (1.1 - 1.12) to the outer concentric ring (1.13), increases, at least in certain areas, relative to the distance between the respective adjacent concentric rings (1.1 - 1.13). The invention further relates to a method for producing the mesh pocket, wherein the embroidery pattern is stitched onto a substrate and the substrate is subsequently removed.The net pocket is finally formed by concentric twisting of the concentric rings (1.1 - 1.13).

The utility model discloses a breast protection and rehabilitation device for a breast cancer patient, and relates to the technical field of medical devices. The bra comprises a bra body, wherein a protective cover is fixedly connected to one side of the bra body; a protection assembly is arranged in the protection cover and comprises a spring, the spring is fixedly connected to the inner wall of the protection cover, and one end of the spring is fixedly connected with a fixing cover. Through the arrangement of the protective cover, breasts can be better supported, the risks of breast sagging and deformation after operation are effectively reduced, uniform pressure distribution can be provided, the burden of breast tissues is relieved, postoperative recovery is promoted, and the comfort of a patient is improved; the supporting strength can be automatically adjusted according to changes of breast shapes and patient activities, it is ensured that the best supporting effect can be provided under different conditions, and therefore the comfort and stability are further improved, and the patient is helped to go through the rehabilitation period better.

The application discloses a breast cancer HER2 gene mutation prediction method and device based on ABVS, and comprises the following steps: S1, acquiring an ABVS image; S2, performing preliminary segmentation on the ABVS image to obtain a breast tissue part; S3, performing secondary segmentation on the basis of the segmented breast tissue part to obtain a lesion ROI region; S4, obtaining an imageomics feature according to the lesion ROI region, wherein the imageomics feature comprises first-order gray statistical features, shape features, texture features and transformation-based features; and S5, combining segmentation features generated in the segmentation process with the imageomics feature, and using a deep feature classifier to predict a HER2 gene mutation state. The application predicts the HER2 mutation state in breast cancer by using a non-invasive method, is accurate in prediction, and provides help for clinical treatment of breast cancer.

The invention discloses a molybdenum target detection device based on human engineering, which belongs to the technical field of medical engineering and intelligent sensing control, and comprises an electric compressor, a ray emitter and a control center, wherein the electric compressor comprises a plurality of retractable slide rail sections and a slide rail chassis; for any one contraction slide rail section, the contraction slide rail section is slidably clamped with the petal-shaped curved surface imaging plate through a sliding buckle; when the control center recognizes a detection starting signal, the petal-shaped curved surface imaging plate is controlled to move towards the center direction of the sliding rail chassis along the contraction sliding rail section, so that the electric compressor enters a clamping state; when the control center judges that the detected mammary tissue image is effective, a detection ending signal is obtained, the petal-shaped curved surface imaging plate is controlled to move in the opposite direction of the center of the sliding rail base plate along the contraction sliding rail section, and the electric compressor enters a release state. According to the molybdenum target detection device based on the human engineering, it is guaranteed that the detection process is conducted stably, and the image detection precision is effectively improved.

The invention discloses a mammary gland tissue characterization method and device, a medium and a product, and relates to the field of mammary gland tissue analys.The method comprises the steps that RF signals, envelope signals and B-mode signals corresponding to sections of a mammary gland cross section, a sagittal plane and a coronal plane are determined according to mammary gland three-dimensional data; generating a corresponding B-mode image according to the determined B-mode signal of each tangent plane; inputting the B mode images of all sections into an ROI detection model to obtain a tumor ROI region; the ROI detection model comprises a tumor B model edge detection model, a tracking module and an ROI generation module; based on the tumor ROI region, extracting RF signals, envelope signals and B-mode signals corresponding to the cross section, sagittal plane and coronal plane regions of interest from the mammary gland three-dimensional data; and inputting the extracted signal into a tumor tissue analysis model to obtain a tumor tissue characterization result. According to the invention, the searching efficiency and the positioning accuracy of the breast tumor can be improved, and the quantitative analysis of the tumor tissue characteristics is realized.

The invention discloses zwitter-ion-based hydrogel and a preparation method and application thereof.The preparation method includes the steps that zwitter-ion monomers are stirred and dissolved in water under the ice-water bath condition, and a zwitter-ion monomer solution is obtained; injecting the obtained zwitter-ion solution into a mold, and placing in a water bath kettle at 37-60 DEG C for 24-72 hours to obtain zwitter-ion-based hydrogel; wherein the zwitter-ions are selected from at least one of [2-(methacryloyloxy) ethyl] dimethyl-(3-sulfonic acid propyl) ammonium hydroxide, 2-methacryloyloxyethyl phosphorylcholine and 3-[[2-(methacryloyloxy) ethyl] dimethyl ammonium] propionate. The zwitter-ion hydrogel material provided by the invention has a compression elastic modulus of 22.2-47.8 kPa, which is matched with the elastic modulus of breast tissues, and the hydrogel material has good self-repairing property, and it is found that the compression modulus after compression is equivalent to an initial state value; in addition, the hydrogel also has good tensile property and can bear the action of tensile force.

Systems and methods related to processing medical image data. Medical image data of a patient's breast tissue is received from a medical imaging device. The medical image data includes a plurality of X-ray projection images of the patient's breast tissue from a plurality of perspectives. The medical image data is encoded using lossy compression. The medical image data is decoded to yield a transmission image. The transmission image is encoded using lossless compression to yield a first compressed image. The first compressed image is transmitted to a first viewing device. The first viewing device is configured to decode the first compressed image to yield the transmission image and view the transmission image using the first viewing device. Viewing the transmission image includes viewing at least one of the plurality of X-ray projection images of the patient's breast or a composite image of the plurality of X-ray projection images.

Systems and methods are provided for a multi-scale deep learning-based digital breast tomosynthesis (DBT) image reconstruction that mitigates the superposition of breast tissue along with the limited angular artifacts, and improves in-depth resolution of the resulting images. A multi-scale deep neural network may be used where a first network may focus on a first parameter, such as limited angular artifacts reduction, and a second network may focus on a second parameter, such as image detail refinement. The output from the first neural network may be used as the input for the second neural network. The systems and methods may reduce the sparse-view artifacts in DBT via deep learning without losing image sharpness and contrast. A deep neural network may be trained in a way to reduce training-time computational cost. An ROI loss method may be used for further improvement on the resolution and contrast of the images.

In some embodiments, an X-ray system comprises a work-station and a mammography apparatus. The mammography apparatus can comprise: a breast positioning area; an absorption contrast imaging apparatus; and a diffractometer for analyzing structure of tissue within a breast. The absorption contrast imaging apparatus and the diffractometer can be configured to move in order to interchangeably align with the breast positioning area. The work-station can be configured to control the mammography apparatus, and to process data received from the mammography apparatus. In some embodiments, a method of controlling an X-ray system comprises: measuring the denseness of the breast tissue using an absorption contrast imaging apparatus; processing the absorption contrast imaging measurement results using the work-station to determine coordinates of potential cancer sites; performing measurements at the coordinates of the potential cancer sites using the diffractometer; and processing the diffractometer measurement results to perform diagnostics.