Abstract: A method for medical imaging may include obtaining a plurality of successive images of a region of interest (ROI) including at least a portion of an object's heart. The plurality of successive images may be based on imaging data acquired from the ROI by a scanner without electrocardiography (ECG) gating. The plurality of successive images may be related to one or more cardiac cycles of the object's heart. The method may also include automatically determining, in the plurality of successive images, target images that correspond to at least one of the one or more cardiac cycles of the object's heart.

Abstract: The present disclosure provides a system for MRI. The system may obtain a plurality of auxiliary signals and a plurality of imaging signals collected by applying an MRI pulse sequence simultaneously to a plurality of slice locations of a subject. For each of at least one target slice location of the plurality of slice locations, the system may generate at least one target image of the target slice location based on the plurality of auxiliary signals and the plurality of imaging signals. During the application of the MRI pulse sequence, phase modulation may be applied to at least one of the plurality of slice locations so that the plurality of slice locations have different phases during the readout of at least one of the plurality of imaging signals.

Abstract: An imaging method may include obtaining imaging data associated with a region of interest (ROI) of an object. The imaging data may correspond to a plurality of time-series images of the ROI. The imaging method may also include determining, based on the imaging data, a data set including a spatial basis and one or more temporal bases. The spatial basis may include spatial information of the imaging data. The one or more temporal bases may include temporal information of the imaging data. The imaging method may also include storing, in a storage medium, the spatial basis and the one or more temporal bases.

Abstract: A method for measuring angular velocity and angular acceleration based on monocular vision. Firstly, a movement sequence image of a feature mark fixed on a working table of a rotary motion generating device is acquired via an acquisition and imaging device. Secondly, a region of interest on the movement sequence image of the feature mark under different shooting distances and rotating conditions is determined by cyclic matching between a set of circular templates and the movement sequence image of the feature mark. Then, a sub-pixel of feature line edges in the region of interest is extracted using a line segment detection method, and only the feature line edges in a motion direction are retained through a constraint of the number of edge points. Finally, the angular velocity and angular acceleration are calculated by using the extracted feature line edges in the motion direction.

Abstract: A method for calibrating linear vibration and angular vibration based on monocular vision. A motion sequence image of a feature mark is acquired by an industrial camera, and an output signal of a linear and angular accelerometer is acquired by a data acquisition card, where the feature mark and the linear and angular accelerometer are fixed on a work table. An exciting acceleration of the linear and angular accelerometer is measured by a monocular vision method integrating a camera calibration method and a sub-pixel edge extraction method based on line segment detection. The exciting acceleration and the output signal are fitted by a sine approximation method, respectively, and corresponding fitted peaks are obtained. A sensitivity of the linear and angular accelerometer is obtained according to the fitted peaks.

Abstract: A method for calibrating linear vibration and angular vibration based on monocular vision. A motion sequence image of a feature mark is acquired by an industrial camera, and an output signal of a linear and angular accelerometer is acquired by a data acquisition card, where the feature mark and the linear and angular accelerometer are fixed on a work table. An exciting acceleration of the linear and angular accelerometer is measured by a monocular vision method integrating a camera calibration method and a sub-pixel edge extraction method based on line segment detection. The exciting acceleration and the output signal are fitted by a sine approximation method, respectively, and corresponding fitted peaks are obtained. A sensitivity of the linear and angular accelerometer is obtained according to the fitted peaks.

Abstract: A method for measuring angular velocity and angular acceleration based on monocular vision. Firstly, a movement sequence image of a feature mark fixed on a working table of a rotary motion generating device is acquired via an acquisition and imaging device. Secondly, a region of interest on the movement sequence image of the feature mark under different shooting distances and rotating conditions is determined by cyclic matching between a set of circular templates and the movement sequence image of the feature mark. Then, a sub-pixel of feature line edges in the region of interest is extracted using a line segment detection method, and only the feature line edges in a motion direction are retained through a constraint of the number of edge points. Finally, the angular velocity and angular acceleration are calculated by using the extracted feature line edges in the motion direction.