8 results about "Blood vessel diameter" patented technology

State of art techniques for measurement of blood viscosity, RBC concentration and the like are in vitro methods. Embodiments of the present disclosure provide a method and system for in vivo non-invasive measurement of blood parameters using Laser Enabled Swept Frequency Acoustic Interferometry (LE-SFAI) principle. A Continuous Wave Laser diode based Photo Acoustic (CWPA) signal in frequency domain generated from laser excitation incident on a biological tissue of a subject carrying blood vessel is acquired by the ultrasound sensor and converted to a windowed time domain CWPA signal limited to two peaks. The signal characteristics such as risetime, amplitude, and time difference between first peak and the second peak are obtained to derive blood viscosity, Red Blood Corpuscles (RBC) concentration, and blood vessel diameter.

This invention provides an ultrasound image processing method for identifying blood vessels in an ultrasound image and displaying them in the ultrasound image. [Solution] An ultrasonic image processing method is provided that is performed by a computing device, comprising the steps of: receiving a plurality of consecutive ultrasonic frames including a blood vessel; determining the diameter of the blood vessel for each of the plurality of consecutive ultrasonic frames using a neural network; generating the current diameter of the blood vessel corresponding to the current frame by integrating the plurality of blood vessel diameters determined in the plurality of consecutive ultrasonic frames; determining a display mode for a label relating to the blood vessel based on the current diameter; and displaying the label in the current frame according to the determined display mode.

This invention relates to the field of puncture auxiliary equipment technology, and in particular to a puncture auxiliary device, which includes a probe clamp with a probe disposed on the inner wall of the probe clamp, a fixing clamp disposed on the outer wall of the probe clamp with a drawing pen disposed on the inner wall of the fixing clamp, a length ruler disposed on the outer wall of the probe clamp, a push-pull rod movably disposed on the inner wall of the length ruler, and a puncture fixator and a puncture needle disposed at the end of the push-pull rod; a mounting block disposed at the end of the probe clamp, and a mounting frame and a control block disposed inside the mounting block, with a locking component inside the control block for fixing the mounting frame; this application integrates the probe, drawing pen and puncture needle into the same device, realizing the simultaneous completion of vascular ultrasound exploration and body surface marking, avoiding the errors of step-by-step operation; by using the cooperation of the length ruler and the push-pull rod, the insertion direction and depth of the puncture needle can be directionally and controllably adjusted, and combined with the angle adjustment rod and sliding buckle, it can adapt to different blood vessel diameters and puncture angle requirements, improving puncture accuracy and clinical applicability.

The application introduces a kind of blood vessel diameter automatic measurement method for fundus OCT image.Retinal blood vessel diameter measurement is an important clinical examination method, which can be used for the diagnosis and monitoring of ophthalmic diseases and cardiovascular diseases.The traditional half-peak full-width measurement method has higher requirements for the medical level of operators and limited applicability, while the present method realizes efficient and accurate measurement through a two-stage model.In the first stage, the approximate area of the blood vessel is obtained by using U-Net network, and in the second stage, the edge attention network (EAT) is used for accurate segmentation of the blood vessel area.The feature fusion module uses different fusion methods to meet the requirements of measurement speed and accuracy.The method has high efficiency and accuracy, and reduces the influence of human error.The neural network model trained by a large amount of data can accurately identify and measure retinal blood vessels of different shapes and diameter ranges, and is suitable for the diagnosis and monitoring needs of various ophthalmic and cardiovascular diseases.

Disclosed are systems and methods for energy-efficient pulsing in ultrasound-based blood pressure sensor implants. In some embodiments, disclosed methods comprise conducting ultrasound sampling of a target vessel for blood pressure measurement only during defined time windows correlated to one or more characteristic features of the vessel during a cardiac cycle representing maximum and minimum diameters of the target vessel. In some embodiments, time windows are predicted by synchronizing ultrasound pulsing with a patient's electrocardiogram (ECG). In other embodiments, time windows are predicted by conducting limited periodic sampling and fitting the resulting limited measurements to a mathematical function that describes the waveform of vessel diameter over a cardiac cycle. In yet other embodiments, maximum and minimum diameter may be computed directly from the mathematical function.

The present disclosure is generally directed to systems and methods including a model trained to determine one or more IVL parameters for preparing lesions within a blood vessel for further treatment. The parameters may be used to configure an IVL system that can prepare the lesions for further treatment. IVL parameters may include, for example, balloon size, balloon diameter, balloon length, balloon pressure, a number of pulses, a number of emitters for a balloon, a shockwave energy distribution for a balloon, a pulse pattern, post-treatment vessel diameter, rime for balloon to be positioned within a vessel, or catheter flexibility, treatment positions, or the like. The model may receive, as input, imaging data of a region of interest. The region of interest may include, for example, one or more lesions to be treated through IVL. In some examples, the imaging data may be intravascular imaging.

This application relates to a blood flow parameter measurement device, equipment, storage medium, ultrasound probe, and system, belonging to the field of medical devices. The blood flow parameter measurement device includes: a first acquisition module for acquiring first measurement parameters obtained by a first transducer group in imaging mode; a second acquisition module for acquiring second measurement parameters obtained by a second transducer group in imaging mode or Doppler blood flow detection mode; both the first and second measurement parameters include vessel location, vessel depth, vessel diameter, and Doppler angle; a correction module for combining and calculating the first and second measurement parameters to correct the vessel diameter and Doppler angle; and a monitoring module for monitoring the hemodynamic parameters of the target object based on the corrected vessel diameter and Doppler angle. The technical solution of this application can output stable hemodynamic evaluation results.

According to one embodiment, a medical image processing device may include an image acquisition unit, a memory, and a processor. Specifically, the processor may enable the medical image processing device to: extract a contour of a target blood vessel including a first branch and a plurality of second branches branching from the first branch from a medical image; determine a first reference point where the contour of the target branch and the contour of another branch among the plurality of second branches are connected; generate a first candidate contour by extending the contour of the target branch from the first reference point to a second reference point which is a boundary between the other branch and the first branch; generate one or more second candidate contours by extending the contour of the target branch from the first reference point to a second reference point and another point; determine a target contour corresponding to a path following the first branch and the target branch based on the first candidate contour and one or more second candidate contours; and provide blood vessel information including the blood vessel diameter and blood vessel shape of the path based on the target contour.