8 results about "Diastolic phase" patented technology

The invention relates to the technical field of cardiovascular examination, in particular to a cardiovascular ultrasonic examination quality control method and system based on artificial intelligence, and the method comprises the following steps: obtaining a valve motion image through ultrasound, extracting a valve leaflet edge coordinate, recognizing a valve opening center and a valve leaflet tip through a convolutional neural network, and generating motion data; the method comprises the following steps: calculating a deviation degree based on trajectory fitting, judging stability, analyzing peak values of a systolic period and a diastolic period, calculating a symmetry difference, extracting a valve opening area, carrying out self-encoder analysis in combination with the symmetry difference to generate a fluctuation amplitude, and carrying out normalization processing to complete hierarchical classification so as to generate a quality control result. By acquiring leaflet edge points and combining a convolutional neural network to identify key features, accurate extraction of motion data, finer trajectory fitting and offset calculation, more scientific quantitative evaluation of symmetry difference and more stereoscopic area fluctuation and feature fusion analysis are realized, hierarchical and hierarchical synchronization is realized through normalization processing, and the accuracy of the motion data is improved. And the result is more credible, more stable and higher in clinical value.

The invention discloses an aortic valve function evaluation device which comprises a processor and a memory, and the memory stores programs or instructions capable of running on the processor. When the program or the instruction is executed by the processor, the following steps are realized: acquiring a first echocardiogram of a target object corresponding to a final systole and a second echocardiogram of a target object corresponding to a final diastole in a cardiac cycle, and acquiring medical record data of the target object; determining a first mask pattern corresponding to the first echocardiogram and a second mask pattern corresponding to the second echocardiogram according to the first echocardiogram, the second echocardiogram and an aortic valve segmentation model; determining an aortic valve morphological index of the target object according to the first mask pattern and the second mask pattern; determining aortic valve functional indexes of the target object according to the medical record data of the target object; and determining and outputting an aortic valve function evaluation result of the target object according to the first mask pattern, the second mask pattern, the aortic valve morphological index and the aortic valve functional index.

To determine instantaneous wave-free ratio (IWFR) as a diastole-based hemodynamic index.SOLUTION: A diastole-based hemodynamic index may be calculated noninvasively for a patient by receiving image data respective of an anatomical region of the patient, creating an electronic model of the anatomical region, creating one or more boundary conditions model value sets representative of flow conditions during diastole, calculating one or more pressure drops at a location in the anatomical region, and determining, based on the calculated pressure drop (possibly drops) and based on a reference pressure, a hemodynamic index value, such as IWFR, for the location.SELECTED DRAWING: Figure 2

This invention discloses a method and system for effectively reducing X-ray radiation dose during electrocardiogram (ECG) scanning, relating to the field of artificial intelligence technology. The method includes: acquiring real-time ECG signals of the subject, identifying the R-wave and its occurrence time, and calculating the RR interval between adjacent R-waves; dividing the subject's cardiac cycle based on the RR interval and the R-wave occurrence time, and determining the intense cardiac motion phase and diastolic phase of each cardiac cycle; during the intense cardiac motion phase, controlling the X-ray tube mA value to decrease to a dose reduction mA value below the source mA value; when the current time enters the diastolic phase, controlling the X-ray tube mA value to recover from the dose reduction mA value back to the source mA value; after determining that the X-ray tube mA value has recovered and stabilized at the source mA value, a trigger signal is activated, and the acquisition of projection data is initiated based on the trigger signal. This method helps solve the problem that existing technologies cannot effectively reduce X-ray radiation dose during ECG scanning.

This application provides a ventricular assist interventional system, relating to the field of medical device technology, comprising a diaphragm pump, a first catheter, a balloon, and a pneumatic actuator. A balloon for implantation into the descending aorta to assist the heart is disposed on the surface between a bidirectional valve on the first catheter and the proximal end of the first catheter. The distal end of the first catheter is inserted into the ventricle. The balloon is connected to the pneumatic actuator via an air circuit. The proximal end of the first catheter is connected to the blood chamber of the diaphragm pump, and the medium chamber of the diaphragm pump is connected to the pneumatic actuator via an air circuit. A single pneumatic actuator simultaneously drives the diaphragm pump to aspirate or pump blood and to inflate or deflate the balloon. The inflation and deflation cycle of the balloon is synchronized with the diaphragm pumping action, thereby precisely corresponding to the systolic and diastolic phases of the heart. This reduces the number of components used in the ventricular assist interventional system and improves the technical problem of existing ventricular assist interventional systems being bulky and easily increasing the burden on patients.

The invention provides a CT cardiac stationary period detection and imaging triggering method and device based on millimeter wave radar, and the method comprises the steps: carrying out the self-adaptive offset through a chest wall micro-motion signal collected in a non-contact manner and a reference channel signal, and separating breathing and heartbeat components; obtaining a high-precision instantaneous cardiac phase and the uncertainty thereof; generating a trigger availability score in combination with the multi-dimensional features, and adaptively selecting a trigger strategy; and system delay is calibrated on line, an RR interval is predicted, an advanced triggering moment is calculated based on a target phase proportion, and accurate imaging triggering is realized in combination with a safety guard condition. According to the method, non-contact and self-adaptive accurate cardiac stationary phase detection and imaging triggering can be realized in a strong interference environment of a CT machine room, multiple challenges such as metal scattering, cardiac respiration coupling, individual difference and system delay are overcome, CT environment interference and individual difference can be effectively overcome, and the cardiac CT image quality and the scanning success rate are remarkably improved.

The invention provides a method and a device for identifying a diastolic period and a systolic period of a CBCT image, and the method comprises the steps: scanning a heart region through CBCT equipment, and collecting a plurality of two-dimensional projection images of the heart region; preprocessing the plurality of two-dimensional projection images so as to suppress scanning errors of CBCT equipment and enhance the distinction degree of heart motion signals and non-motion signals in the CBCT images; based on a PCA algorithm, extracting a feature value of each preprocessed two-dimensional projection image, the feature values being used for representing a heart motion state; fitting the characteristic values of all the two-dimensional projection images into a characteristic curve according to an acquisition time sequence; and identifying a peak value and a valley value of the characteristic curve, and determining that the two-dimensional projection image corresponding to the peak value is a diastolic period projection image and the two-dimensional projection image corresponding to the valley value is a systolic period projection image. According to the application, accurate and efficient identification of the key cardiac stage of the heart can be realized, and stable and reliable image support is provided for subsequent clinical operation.

This invention relates to a method and apparatus for processing characteristic dimensions based on cardiac ultrasound video measurements. The method includes: receiving a first video; extracting video frame images; detecting key points in each frame image based on a key point detection model; filtering diastolic and systolic frame images; filtering mid-systolic ventricular frame images; annotating key points and characteristic dimensions of the right ventricular diameter, interventricular septum thickness, left ventricular diameter, and left ventricular posterior wall thickness on the diastolic frame images; annotating key points and characteristic dimensions of the left ventricular diameter on the systolic frame images; annotating key points and characteristic dimensions of the left atrial anteroposterior diameter, aortic valve annulus diameter, aortic sinus diameter, and ascending aortic diameter on the mid-systolic ventricular frame images; and outputting the annotated diastolic, systolic, and mid-systolic ventricular frame images as the processing result. This invention can solve the problem of manual intervention in conventional methods and improve measurement efficiency.