58 results about "Carotid artery plaque" patented technology

A system and method of obtaining and analyzing ultrasound images of a patient provides for the identification of specific tissue types in using the image data. A feature vector set of sub-regions of the region of interest is obtained, dimensionally reduced and evaluated using a heuristic to identify the tissue type. Where the tissue type is suitable for image standardization, the overall gray scale of the image is adjusted with respect to a predetermined gray scale for the identified tissue type. The image may be segmented and plaque regions identified and characterized. The characterized plaque and other parameters such as percent stenosis may be used to determine a risk score for the patient.

The invention belongs to the field of intersection of a computer technology and medical images, and in particular relates to a dividing method of plaque in the cross section direction of carotid artery blood vessel in an ultrasound image. The method specifically comprises the following steps of: selecting the current frame image; dividing to obtain profiles of internal and external membranes of the blood vessel; extracting the plaque and dividing the interested area; detecting an initial plaque external boundary: carrying out curve fitting on each column of pixel point gray value between the internal and external membrane profiles on a polar coordinate image obtained through conversion in the interested area, and detecting the pixel point with the minimum gray value and nearest to the external membrane profile as the initial plaque external boundary point; carrying out level set evolution to obtain the final plaque external boundary; and using the area between the final external boundary and the internal membrane profile as the plaque area. By adopting the dividing method of ultrasound carotid artery plaque, plaque can be accurately divided, the workload of doctors can be greatly reduced, and the plaque size and area calculated on the basis of the division result can help doctors analyze the lesion degree and treatment effect.

A system and method of obtaining and analyzing ultrasound images of a patient provides for the identification of specific tissue types in using the image data. A feature vector set of sub-regions of the region of interest is obtained, dimensionally reduced and evaluated using a heuristic to identify the tissue type. Where the tissue type is suitable for image standardization, the overall gray scale of the image is adjusted with respect to a predetermined gray scale for the identified tissue type. The image may be segmented and plaque regions identified and characterized. The characterized plaque and other parameters such as percent stenosis may be used to determine a risk score for the patient.

Systems, methods and apparatus are provided through which carotid plaque is classified in an image and visually displayed using an iterative adaptive process, such as an expectation maximization process.

The present disclosure is directed to compounds, diagnostic agents, and related methods. In some cases, methods for treating patients are provided. More specifically, the disclosure provides compounds, diagnostic agents, and kits for detecting and / or imaging and / or monitoring elastin rich tissues. In addition, the disclosure provides methods of detecting and / or imaging and / or monitoring the presence of coronary plaque, carotid plaque, iliac / femoral plaque, aortic plaque, renal artery plaque, plaque of any arterial vessel, aneurism, vasculitis, other diseases of the arterial wall, and / or damage or structural changes in ligaments, uterus, lungs or skin, as indicated by changes in total vessel wall area, internal lumen size, and exterior arterial perimeter.

The invention provides a carotid plaque segmentation method and device based on artificial intelligence and a storage medium, and the method comprises the steps: obtaining an original mode image slice, and recognizing a bifurcated slice based on the original mode image slice; marking initial boundary points of the bifurcated slices, and interpolating the marked initial boundary points to create a continuous initial boundary; and refining the initial boundary through a distance regularization level set to obtain an intima boundary and an outer wall boundary of a carotid plaque blood vessel cavity, and obtaining the carotid plaque. According to the technical scheme provided by the invention, the carotid plaque is automatically segmented by using brand new 3DUS imaging based on a plaque segmentation integrated framework of 3DUS and deep learning, the accuracy of carotid plaque segmentation is improved, the plaque burden can be more comprehensively measured, and the recognition of the carotid plaque is more accurate.

The present disclosure is directed to compounds, diagnostic agents, and related methods. In some cases, methods for treating patients are provided. More specifically, the disclosure provides compounds, diagnostic agents, and kits for detecting and / or imaging and / or monitoring elastin rich tissues. In addition, the disclosure provides methods of detecting and / or imaging and / or monitoring the presence of coronary plaque, carotid plaque, iliac / femoral plaque, aortic plaque, renal artery plaque, plaque of any arterial vessel, aneurism, vasculitis, other diseases of the arterial wall, and / or damage or structural changes in ligaments, uterus, lungs or skin, as indicated by changes in total vessel wall area, internal lumen size, and exterior arterial perimeter.

The invention relates to a domestic and medical two-purpose sound recording and fetal heart sound listening stethoscope, and belongs to the field of medical apparatuses. A stethoscope head (1), a sound conduction tube, a three-way tube and a listening tube protecting port are mutually connected, so that a pipeline stethoscope is constituted; a microphone, an amplifier (2), a recording-playing module (3), a transmission module (4), a power supply and the like are arranged in the stethoscope head, so that an electronic stethoscope, which is capable of recording and playing sound, is formed to listen two different stethoscopic sound effects. People can identify sounds from left side and right side through two ears, but the known stethoscopes are operated in a mode of communicating left and right ears, and subsequently, a listening habit is changed and a hearing threshold is narrowed; with the application of the stethoscope which adopts a novel dual-sound-track circuit, the listening habit is recovered and the hearing threshold is widened, so as to bring about benefits for doctors in auscultation. In addition, known fetal heart rate instruments cannot output original heartbeat sound, while by virtue of the novel stethoscope, actual fetal heartbeat sound can be listened, and meanwhile, the sound can be recorded or played; and when the sound is recorded, a voice catalog can be additionally annotated by virtue of the microphone, so that functions of searching and tracing an electronic medical record can be developed. Moreover, a carotid artery plaque detection method is more convenient and rapider than the known stethoscopes.

Atherosclerosis can be viewed as a response to injury and it is not atherosclerosis per se that is serious but instead factors leading to rupture of atherosclerotic plaques. In the present invention we have identified such factors. A decreased binding of Annexing V to the endothelium was seen in patients with a history of atherothrombosis. The use of native Annexin V or an N-terminal fragment as an active component or a subfraction of immunoglobulins to manufacture a pharmaceutical composition is proposed to improve said binding. The use of Annexin V, N-terminal fragments or immunoglobulins to increase the Annexin V-binding to carotid plaque represents novel mechanism for preventing atherothrombosis.

Systems, methods and apparatus are provided through which carotid plaque is classified in an image and visually displayed using an iterative adaptive process, such as an expectation maximization process.

The present disclosure is directed to compounds, diagnostic agents, and related methods. In some cases, methods for treating patients are provided. More specifically, the disclosure provides compounds, diagnostic agents, and kits for detecting and / or imaging and / or monitoring elastin rich tissues. In addition, the disclosure provides methods of detecting and / or imaging and / or monitoring the presence of coronary plaque, carotid plaque, iliac / femoral plaque, aortic plaque, renal artery plaque, plaque of any arterial vessel, aneurism, vasculitis, other diseases of the arterial wall, and / or damage or structural changes in ligaments, uterus, lungs or skin, as indicated by changes in total vessel wall area, internal lumen size, and exterior arterial perimeter.

The invention provides a carotid plaque detection method and device based on a medical ultrasonic image, and the method comprises the steps: building a corresponding relation between a feature parameter in a carotid medical ultrasonic image of a patient and a new vessel perfusion mode in a carotid plaque through the self-learning capability of an artificial neural network; acquiring current feature parameter of the medical ultrasonic image corresponding to the current carotid artery of the patient; determining a new vessel perfusion mode in the current carotid plaque corresponding to the current feature parameter according to the corresponding relationship, specifically, determining a new vessel perfusion mode in the current carotid plaque corresponding to the feature parameter, comprisingdetermining the new vessel perfusion mode in the current carotid plaque corresponding to the feature parameter identical to the current feature parameter in the corresponding relation as the new vessel perfusion mode in the current carotid plaque. The ability of extracting effective features of the neural network is improved, the personnel cost required by detection is reduced, and the accuracy is high.

The carotid artery plaque properties are quantitatively determined by a carotid artery echo whereby predicting incidence of cerebral infarction or myocardial infarct. A method includes obtaining, coloring, and displaying steps. In the obtaining step, the integrated amounts per unit time of echo signals corresponding to pixels of an echo image of carotid artery plaque are obtained. The signals are obtained when the image is obtained by an IBS method. In the coloring step, the relationship between ranges and colors is referenced. The available full range of the integrated amount is previously divided into the ranges. The colors are assigned to the ranges. The pixels are classified into the ranges in accordance with the integrated amounts corresponding to the pixels. The pixels of the image are colored in colors corresponding to the ranges of the pixels. In the displaying step, the colored echo image is displayed on a display portion 30.

The invention belongs to the field of medical image recognition, and provides a carotid artery vulnerability grading method and system based on multi-modal imaging omics. The method comprises the following steps: acquiring at least one of a carotid artery ultrasound image and a nuclear magnetic resonance image; based on at least one of the carotid artery ultrasound image and the nuclear magnetic resonance image, adopting a carotid artery plaque grading model to obtain a vulnerability grade of the carotid artery plaque; the carotid plaque grading model comprises a multi-scale feature fusion network and an attention classification network; wherein the multi-scale feature fusion network is used for fusing extracted carotid ultrasound image sample features and carotid nuclear magnetic resonance image sample features based on carotid ultrasound image samples and carotid nuclear magnetic resonance image samples to obtain fusion features; the attention classification network is used for obtaining the vulnerability level of the carotid plaque based on the fusion features and the carotid ultrasound image sample features / carotid nuclear magnetic resonance image sample features.

The invention belongs to the field of intersection of a computer technology and medical images, and in particular relates to a dividing method of plaque in the cross section direction of carotid artery blood vessel in an ultrasound image. The method specifically comprises the following steps of: selecting the current frame image; dividing to obtain profiles of internal and external membranes of the blood vessel; extracting the plaque and dividing the interested area; detecting an initial plaque external boundary: carrying out curve fitting on each column of pixel point gray value between the internal and external membrane profiles on a polar coordinate image obtained through conversion in the interested area, and detecting the pixel point with the minimum gray value and nearest to the external membrane profile as the initial plaque external boundary point; carrying out level set evolution to obtain the final plaque external boundary; and using the area between the final external boundary and the internal membrane profile as the plaque area. By adopting the dividing method of ultrasound carotid artery plaque, plaque can be accurately divided, the workload of doctors can be greatly reduced, and the plaque size and area calculated on the basis of the division result can help doctors analyze the lesion degree and treatment effect.