Methods and systems are provided for cardiac triggering of an imaging system. a method for an imaging system comprises acquiring, during a scan of a subject, an electrical signal indicating a periodic physiological motion of an organ of the subject, inputting a sample of the electrical signal into a trained neural network to detect whether a peak is present in the sample, triggering acquisition of image data responsive to detecting the peak in the sample, and not triggering the acquisition of image data responsive to not detecting the peak in the sample. In this way, the timing of data acquisition may be optimally and robustly synchronized with a cardiac cycle.

The present subject matter refers a method to evaluate concentration of a living being based on artificial intelligent techniques. The method comprises detecting a continuous increase in concentration of a living being based on an artificial neural network (ANN), The method comprises receiving a parameter of the continuous increase in concentration, determining a first value of the concentration based on a first condition, said first condition defined by increase of the received parameter by more than a first predetermined threshold; and determining a second value of the concentration based on a second condition, said second condition defined by decline in the concentration from the first value by more than a second predetermined threshold.

An implantable medical device (IMD) is provided and includes sensing circuitry coupled to electrodes. The sensing circuitry is configured to sense electrical biological signals indicative of a non-physiologic condition of interest experienced by a patient during a magnetic resonance imaging (MRI) procedure, and in the presence of an MRI scanning sequence, the MRI scanning sequence includes at least one of radio frequency (RF) or gradient fields that are in an active state for active field intervals. The device includes memory to store the biological signals and to store program instructions and includes a processor that, when executing the program instructions, is configured to: determine start times for the active field intervals when the at least one of RF or gradient fields switch to the active state and manage generation of MRI-induced-noise corrected (MRI-INC) biological signals, based on the start times for the active field intervals, by at least one of: 1) applying a blanking interval to the sensing circuitry to blank a sensing operation during at least portions of the active field interval or 2) modifying segments of the biological signal sensed during at least the portions of the active field interval, and 3) comparing biologic signal sensed during at least the portions of the active field interval to a template. The device analyzes the biological signals for an indication that the patient is experiencing the non-physiologic condition.

A method for vascular assessment is disclosed. The method, in some embodiments, comprises receiving a plurality of 2-D angiographic images of a portion of a vasculature of a subject, and processing the images to produce a stenotic model over the vasculature, the stenotic model having measurements of the vasculature at one or more locations along vessels of the vasculature. The method, in some embodiments, further comprises obtaining a flow characteristic of the stenotic model, and calculating an index indicative of vascular function, based, at least in part, on the flow characteristic in the stenotic model.

A breathing guidance system is provided for guiding the breathing of a user during a magnetic resonance imaging procedure. A target breathing rate is determined for the user which is in synchronism with the sounds, such as clicking sounds, generated by the MRI scanner. In this way, an improved signal to noise ratio is obtained for the scanned image by controlling the breathing of the user to be regular.

In a method and magnetic resonance (MR) apparatus for pulse wave velocity (PWV) measurement along the aorta of a subject using MR imaging, a multislice cardio synchronized segmented ciné MR data acquisition sequence is optimized in order to enhance inflow representation in the slice images, in order to make the multislice MR data acquisition sequence viable for clinical uses, so as to acquire intensity-based MR data from two transverse slices spaced from each other along the descending aorta. The respective intensities of relevant pixels in at least two respective slice images are analyzed in order to identify the arrival of a pulse wave in the respective slices by the onset of flow enhancement in the slices, represented by intensity changes in the pixels. From the onset of flow enhancement in the respective slice images, PWV is calculated. An electronic signal representing the calculated PWV is then provided from a computer.

An object of the invention is to perform MRI imaging which is less likely to be affected by a body motion without prolonging an imaging time. The control unit takes in images captured by the camera at a predetermined frame rate. The imaging pulse sequence is divided into small sequences at a time width corresponding to the frame rate of the camera. The control unit, before causing the imaging unit to execute one small sequence, detects a displacement of the subject with respect to a predetermined reference position or a motion speed of the subject based on an image of the latest frame, and causes the imaging unit to execute the small sequence when a detection result is within a predetermined allowable range and waits until an image of a next frame is taken in according to the frame rate without causing the imaging unit to execute the small sequence when the detection result exceeds the allowable range.

An information processing apparatus acquires projection data obtained by dividing a subject into first and second divided areas and capturing the first and second divided areas, the projection data including first projection data obtained by capturing a dynamic state of the subject in a first capturing range including the first divided area and second projection data obtained by capturing the dynamic state of the subject in a second capturing range including the second divided area. The apparatus acquires similarity relating to the dynamic state of the subject on a basis of projection data of a first partial area and projection data of a second partial area, and acquires a first timing for reconstructing an image of the first divided area and a second timing for reconstructing an image of the second divided area, on a basis of the similarity.

A T1-weighted turbo-spin-echo magnetic resonance imaging system configured to capture data associated with a subject's heart during a time period and produce MR images has a dark-blood preparation module, a data capture module, and an image reconstruction module. The dark-blood preparation module performs dark-blood preparation through double inversion during some, but not all of the heartbeats within the time period. The data capture module configured performs data readouts to capture imaging data of an imaging slice during every heartbeat in which dark-blood preparation is performed. The data capture module also performs a steady state maintenance step during every heartbeat in which dark-blood preparation is not performed in order to maintain maximum T1-weighting. The image reconstruction module configured to reconstruct a T1-weighted image based on the imaging data.

A method for adapting, per cardiac cycle, the parameters governing interpolation of varying and non-interpolation of fixed fractions of each individual cardiac cycle is provided. A time series of data values associated with a cardiac cycle is received, and the time series is scaled to a reference cardiac cycle, wherein the scaling includes applying a model to the time series to generate a scaled time series of data values associated with the first cardiac cycle. The model is trained using the scaled time series.