97 results about "Cardiac Ultrasound" patented technology

A system and method for limiting a temperature induced in a body by an ultrasound imaging catheter are provided. The method includes receiving, at an isolation box, an imaging signal from an imaging catheter, receiving, at an isolation box, a signal indicative of a temperature of tissue adjacent to the imaging catheter, removing power to the imaging catheter at the isolation box if the signal indicates the temperature of tissue adjacent to the imaging catheter exceeds a known value, and sending the imaging signal from the catheter to a processor if the signal indicates the temperature of tissue adjacent to the imaging catheter is less than the limit.

The invention discloses a three-dimensional myocardial deformation strain calculation method. The invention divides the myocardium into a plurality of local (sub) regions according to the time and space coordinates on the basis of completing the segmentation processing of the marked cardiac magnetic resonance image sequence, a feed forward neural network (BPNN) and a polynomial or support vector machine (SVM) are used for fitting a local displacement field, the calculation of the established local continuous displacement field is done by the Newton iterative method, the motion parameters of the myocardial particle are calculated and the non-linear interpolation technology is used for calculating the myocardial strain parameters. The invention has clear physical significance and simple and effective algorithm, a model is applicable to parallel calculation, which can calculate the forward and backward motion of arbitrary myocardial particle; and the strain calculation results can be used as the judgment criteria of the three-dimensional cardiac ultrasound strain measurement results.

A method and an apparatus for diagnosing cardiac diseases based on a cardiac motion modeling are provided. The method may include applying physical characteristics of a cardiac motion to a 3D heart shape model, deriving a boundary condition by fusing the 3D heart shape model to which the physical characteristics are applied and a plurality of cardiac ultrasound images according to a temporal change, obtained to acquire a dynamic image, and diagnosing the cardiac diseases using a result of modeling that models the cardiac motion of the user using the boundary condition.

A method for real-time fusion of a 2D cardiac ultrasound image with a 2D cardiac fluoroscopic image includes acquiring real time synchronized US and fluoroscopic images, detecting a surface contour of an aortic valve in the 2D cardiac ultrasound (US) image relative to an US probe, detecting a pose of the US probe in the 2D cardiac fluoroscopic image, and using pose parameters of the US probe to transform the surface contour of the aortic valve from the 2D cardiac US image to the 2D cardiac fluoroscopic image.

An ultrasound image acquisition device initiates acquisition of anatomical images of a portion of patient anatomy in response to a heart rate related synchronization signal. The ultrasound image acquisition device includes multiple ultrasound transducers for generating sound waves. The ultrasound transducers are arranged in different transducer groups oriented to enable acquisition of different ultrasound imaging information used in generating a single composite ultrasound image. A synchronization processor derives the heart rate related synchronization signal from a patient cardiac function blood flow related parameter. The synchronization signal enables adaptive activation of a particular group of the different transducer groups for acquisition of ultrasound imaging information used in generating the single composite ultrasound image. A display processor presents the single composite ultrasound image, acquired by the ultrasound image acquisition device, to a user on a reproduction device.

The embodiment of the invention relates to a method and device for screening diastolic and systolic images based on a cardiac ultrasound video. The method comprises the following steps: acquiring the cardiac ultrasound video; performing video image framing to generate a plurality of framed images; performing left ventricle semantic segmentation on each framed image to obtain a corresponding left ventricle segmented image; performing image area statistics to generate corresponding left ventricular area parameters; performing area-time curve conversion to generate a first area-time curve; performing significance threshold confirmation to generate a first significance threshold; carrying out saliency peak and valley value point identification on the existing peak and valley value points of the first area-time curve; performing effective peak and valley value point screening on the significant peak and valley value points; and taking the framed image corresponding to the effective valley point as a screening image at the end of a contraction period, taking the framed image corresponding to the effective peak point as a screening image at the end of a relaxation period, and sorting all the screening images to generate a screening image sequence. According to the invention, the image screening quality stability can be ensured.

A method and an apparatus for diagnosing cardiac diseases based on a cardiac motion modeling are provided. The method may include applying physical characteristics of a cardiac motion to a 3D heart shape model, deriving a boundary condition by fusing the 3D heart shape model to which the physical characteristics are applied and a plurality of cardiac ultrasound images according to a temporal change, obtained to acquire a dynamic image, and diagnosing the cardiac diseases using a result of modeling that models the cardiac motion of the user using the boundary condition.

The invention provides a method of noninvasively calculating personalized coronary artery branch blood flow reserve capacity, and belongs to the field of biomedical engineering. The method includes the steps: cardiac ultrasound data is adopted to obtain the flow of a coronary artery at a resting state; on the basis of coronary artery CT image files, a coronary artery three-dimensional model is rebuilt, and the length, volume and opening cross-section area of a coronary artery branch are measured; then, according to coronary artery fractal coefficients and allometry laws, a flow distribution method based on the opening cross-section area of the coronary artery branch is built, in combination with resistance mathematical models corresponding to coronary artery stenosis segments and coronaryartery non-stenosis segments, the pressure of a coronary artery distal outlet is obtained, and through hydrodynamics, coronary artery distal outlet flow taking stenosis effects into account is calculated; and finally, according to the relationship that the flow of the coronary artery at a maximum congestion state is 3 times that of the coronary artery at the resting state, coronary artery distal outlet flow at the maximum congestion state is obtained, and by comparing a threshold value of 3 with the ratio of the coronary artery blood flow at the maximum congestion state and the coronary arteryblood flow at the resting state, the coronary artery branch blood flow reserve capacity is determined.