8 results about "Echogenicity" patented technology

Systems and methods for ultrasound imaging include obtaining RF data using an ultrasound probe and processing the RF data in-parallel to generate B-mode data and echo intensity data during ultrasound examination of a patient. The RF data is analyzed in real-time to provide a user with live ultrasound image and echogenicity analytics. Based on the echogenicity analytics, the user may reposition the ultrasonic probe to adjust and select an optimal probe angle to ensure reproducible results. Providing live RF data allows the user to assess the health of nerves and muscles in real-time and make dynamic decisions on further exams to perform during the same office visit.

This invention relates to the field of ultrasound image analysis technology, specifically to a method for classifying and rating thyroid images. The method includes: acquiring thyroid images from a patient; preprocessing the thyroid images to obtain preprocessed images; inputting the preprocessed images into a feature extraction network to obtain nodule extraction features; and feeding the nodule extraction features into corresponding classifiers to obtain corresponding evaluation results. Addressing the problem that existing thyroid nodule identification models are black-box and lack interpretability in assisted diagnosis, this invention introduces a specific feature extraction network to extract nodule features and echogenicity features across multiple dimensions. Each type of feature is labeled to facilitate subsequent diagnosis by doctors, and the output is based on relatively sufficient evidence and has strong interpretability.

An ultrasound-CT registration method for interventional pain management, belonging to the field of ultrasound diagnostic and therapeutic technology, mainly includes: acquiring ultrasound image data; labeling the pleura and lamina in the ultrasound images; reconstructing CT data; manually aligning the spatial data reconstructed by ultrasound with the data reconstructed by CT in a 3D point cloud visualization processing software based on the labeled feature points; and outputting a formatted file containing the positional relationship between the 3D reconstructed data of the pleura and lamina in ultrasound and the CT reconstructed data after manual registration. This method utilizes the high echogenicity of the pleura and lamina in ultrasound images to perform multimodal image fusion of ultrasound and CT, solving both the problem of poor real-time performance of CT images and the problem of ultrasound images not being able to observe the dorsal root ganglia, greatly improving the accuracy, safety, and ease of operation of interventional pain management procedures.

A transseptal guidewire with enhanced echogenicity and markers to facilitate precise positioning during transseptal puncture procedures. The guidewire comprises a flexible elongate body with a distal portion having echogenic markers formed by mechanical deformation of the guidewire surface, creating surface discontinuities that reflect ultrasound waves. These echogenic markers improve visibility under ultrasound imaging, allowing for accurate positioning of the guidewire tip at the target location. The guidewire also includes markers at the proximal end that provide visual or tactile feedback on the relative position of the guidewire with respect to a supporting member, such as a sheath or dilator. The proximal markers enable intuitive positioning and safe advancement of the guidewire during the procedure. By enhancing guidewire visibility and providing positioning feedback, improves the safety and efficiency of transseptal puncture procedures while maintaining compatibility with standard techniques and equipment.

A transseptal guidewire (300, 500) with enhanced echogenicity and markers to facilitate precise positioning during transseptal puncture procedures. The guidewire comprises a flexible elongate body (306) with a distal portion having echogenic markers (320, 520) formed by mechanical deformation of the guidewire surface, creating surface discontinuities that reflect ultrasound waves. These echogenic markers improve visibility under ultrasound imaging, allowing for accurate positioning of the guidewire tip at the target location. The guidewire also includes markers at the proximal end that provide visual or tactile feedback on the relative position of the guidewire with respect to a supporting member, such as a sheath or dilator. The proximal markers enable intuitive positioning and safe advancement of the guidewire during the procedure. By enhancing guidewire visibility and providing positioning feedback, improves the safety and efficiency of transseptal puncture procedures while maintaining compatibility with standard techniques and equipment.

The application discloses a carotid plaque tracking and echo classification framework and method of an ultrasonic video, a multiscale hollow encoder, an internal and external feature decoupler and a tracking network are combined to form a carotid plaque tracking framework, and a carotid plaque echo classification framework is established based on feature recombination and a double-channel 3D-Attention framework; an ultrasonic video image is input into the tracking framework to position a plaque position, feature recombination is used to select a plaque contour as local feature input of the echo classification framework, and an original ultrasonic video image is used as global feature input of the echo classification framework. The tracking and classification framework combines deep learning technologies such as feature hierarchical level fusion, multiscale context temporal feature extraction and a three-dimensional attention mechanism, not only solves the optimization problem caused by the change of the state between ultrasonic sections in the carotid ultrasonic video, and fully combines the context features and the vascular environment features of the plaque, so that the features corresponding to each type of state reflecting the instability of the plaque are fully reflected.

Disclosed in the present invention are an endoscopic ultrasound-based lesion evaluation system and method, and a storage medium. The system comprises: an endoscopic ultrasound target recognition module used for performing target detection on an endoscopic ultrasound image to obtain a first target image; a feature extraction module used for performing layer‑by‑layer feature extraction on the first target image to obtain backbone feature maps; a feature aggregation module used for fusing the backbone feature maps to obtain aggregated feature maps; a decoding and segmentation module used for performing multiple decoding operations on the basis of the aggregated feature maps and obtaining a segmentation prediction map; and a multi‑group category prediction module used for performing computations on the basis of the aggregated feature maps to obtain originating layer, echogenicity level, and disease classification probability results, and constructing a three‑dimensional aggregated probability matrix and calibrating same on the basis of a preset constant matrix. The present invention achieves high segmentation accuracy, enables simultaneous evaluation of the originating layer, echogenicity level, and disease type, simplifies the system complexity, and further improves the accuracy and reliability of evaluation by means of an aggregated probability matrix and constant matrix-based calibration.

An ultrasound-detectable polymeric device that offers superior visibility of the body of the device and decreased ultrasound angle dependence through the use of microcavities and methods of manufacturing thereof is disclosed. These microcavities enable superior ultrasound visualization due to diffuse reflection of sound waves when compared to solid polymeric objects, ensuring that a strong signal is received at the source of the ultrasound transducer and providing strong image contrast throughout the entire cross-section of the implant that is also robust to variable angles of insonation.