8 results about "Cardiac phase" patented technology

Some disclosed methods involve monitoring a heart rate waveform associated with a subject to detect cardiac cycle markers, determining a cardiac phase transition window based on the cardiac cycle markers, and activating a photoacoustic sampling system at a start of the cardiac phase transition window, the photoacoustic sampling system including a piezoelectric receiver and a light source system. Such methods may involve, during the cardiac phase transition window, controlling the light source system to emit a plurality of light pulses into biological tissue of the subject, receiving, from the piezoelectric receiver, signals corresponding to acoustic waves emitted from portions of the biological tissue, and obtaining plethysmography data based on the signals. Such methods may involve deactivating the photoacoustic sampling system by an end of the cardiac phase transition window.

This invention discloses a preoperative risk prediction method for cerebral aneurysms based on multimodal deep learning. To address the problems of time-consuming computational fluid dynamics simulations and difficulty in quickly obtaining individualized hemodynamic indicators, this invention reconstructs vascular geometry and a tree diagram by aligning computed tomography angiography, magnetic resonance angiography, and blood pressure and heart rate time series. It employs a graph network that satisfies Kirchhoff conservation and connects differentiable Wendt-Kessel impedance learning boundary conditions. Combining physical constraints of cardiac phase conditional neural operators, Helmholtz projection, and signed distance function boundary embedding, it approximates the flow field, calculates and closes the loop to correct wall shear stress, oscillatory shear exponent, and pressure gradient. Then, it fuses the risk features of the imaging branch, clinical branch, and text branch through expert product to output lesion-level and patient-level risks and confidence levels. This achieves the technical effect of rapidly estimating hemodynamics and performing interpretable preoperative risk assessment under physically consistent constraints.

A cardiac phase selection method and an imaging method are described. The cardiac phase selection method includes: obtaining coronary image quality index data of a coronary image dataset, wherein the coronary image quality index data quantifies the medical image quality of coronary medical images of a subject under examination at a plurality of cardiac phases; selecting a first cardiac phase from the plurality of cardiac phases based on the coronary image quality index data, wherein the first cardiac phase is within a first phase range; and selecting a second cardiac phase based on the coronary image quality index data, wherein the second cardiac phase is within a second phase range different from the first phase range. In examples described herein, a plurality of cardiac phases can be selected, thereby facilitating the acquisition of medical images of the plurality of cardiac phases.

The disclosure relates to a method for generating MR images of a heart of a patient. The method may include selecting first 3D MR datasets acquired at a first breath hold of the patient over a plurality of cardiac phases and selecting second 3D MR datasets acquired at a second breath hold over several cardiac phases. A first combined MR dataset may be generated based on the first 3D MR datasets at the first breath hold, and a second combined MR dataset may be generated based on the second 3D MR datasets at the second breath hold. Motion information for the heart between the first and second breath hold may be determined based on the first and second combined MR datasets. For the plurality of cardiac phases, MR images of the heart may be reconstructed based on the first 3D MR datasets, motion information, and second 3D MR datasets.

This invention discloses a patient vital signs detection system based on millimeter-wave radar, belonging to the field of vital signs monitoring technology. The system includes: acquiring multi-range-unit echo phase data using millimeter-wave radar; calculating the phase difference between adjacent range units to identify and delete static scatterer data; and outputting a dynamic phase sequence. Spectral analysis is performed on the dynamic phase sequence to identify overlapping energy frequency bands, establishing a time-frequency distribution matrix, and separating the phase into respiratory and cardiac phase components based on temporal envelope differences. The trough positions of the respiratory phase components are detected, and the cardiac phase components are divided into multiple respiratory cycle segments according to the trough positions. Phase jump variables at the boundaries are calculated for cumulative phase compensation, and a continuous phase heartbeat signal is output. The phase offset angle between the peak of the heartbeat signal and the trough of the respiratory signal is detected, and the cross-cycle change amplitude is calculated. An intervention command is triggered when the value exceeds a threshold. This invention improves the accuracy and reliability of vital signs monitoring.

The present disclosure provides a cardiac phase recognition method, device, equipment and storage medium, to realize multi-frame automatic segmentation and accurate cardiac phase recognition. The cardiac phase recognition method comprises: selecting an initial segmentation frame in the ventricular contrast sequence image data; performing ventricular boundary recognition based on the feature points marked in the initial segmentation frame to determine the ventricular boundary contour; for the image frame adjacent to the initial segmentation frame, taking the ventricular boundary contour of the initial segmentation frame as the starting contour, emitting a ray in a narrow band range to search for a boundary point in a polar coordinate manner, connecting the boundary points and performing region-driven segmentation to obtain the ventricular boundary contour; taking the image frame as a new initial segmentation frame, repeating the above steps for the next image frame to obtain the full sequence ventricular boundary contour; determining the ventricular cavity area sequence corresponding to the ventricular contrast sequence image data based on the full sequence ventricular boundary contour, and dividing the cardiac phase according to the ventricular cavity area sequence.

The application provides a non-synchronous dual-view coronary motion compensation reconstruction method. The method constructs a high-dimensional motion model containing a cardiac phase, a respiratory phase and a local region modulation parameter based on three-dimensional coronary prior data, generates a non-synchronous dual-view training sample through reversible differential homeomorphism deformation, trains an implicit motion compensation network by using the sample, corrects cross-view non-rigid mismatch, inputs a compensated three-dimensional intermediate representation into a post-stage reconstruction model, and outputs a coronary three-dimensional result, so that the reconstruction continuity and topological consistency are improved.

This specification provides a cardiac phase selection method and a medical imaging method. The cardiac phase selection method includes: acquiring coronary artery image quality index data from a coronary artery image dataset, wherein the coronary artery image quality index data quantifies the medical image quality of the coronary arteries of an examined object at multiple cardiac phases; selecting a first cardiac phase from the multiple cardiac phases based on the coronary artery image quality index data, wherein the first cardiac phase is within a first phase range; and selecting a second cardiac phase from the coronary artery image quality index data, wherein the second cardiac phase is within a second phase range different from the first phase range. This specification embodiment can select multiple cardiac phases, thereby facilitating the acquisition of medical images at multiple cardiac phases.