A system, method, and computer program product for predicting, anticipating, and/or assessing tissue characteristics obtains measurement information associated with a parameter of a voxel of tissue of a patient measured at two or more time points, the two or more time points occurring before one or more characteristics of the voxel of the tissue are separable in an image generated based on the parameter of the voxel measured at a single time point of the two or more time points, and determines, based on the parameter of the voxel at the two or more time points, the one or more characteristics of the voxel of the tissue.

An apparatus includes a plurality of particles, wherein each particle contains a plurality of magnetizable (for example, ferromagnetic) and ferroelectric materials in fixed physical relationship (for example, physical contact) with one another. A method and apparatus measure magnetic fields arising from or within the plurality of particles.

The present disclosure is directed to systems and methods of multiphase pseudo-continuous arterial spin labeling.

Methods and systems are provided for adaptive scan control. In one embodiment, a method includes processing acquired projection data of a monitoring area of a subject to measure a first contrast signal of a contrast agent administered to the subject via a first injection, initializing a contrast scan of the subject according to a fallback scan prescription, determining when each of a plurality of zones of the contrast scan are estimated to occur based on the contrast signal, generating a personalized scan prescription for the contrast scan based on when each of the plurality of zones are estimated to occur, and performing the contrast scan according to the personalized scan prescription after a second injection of the contrast agent.

Systems, methods, and computer program products are provided for segmenting a brain tumor from various MRI sequencing techniques. A plurality of MRI sequences of a head of a patient are received. Each MRI sequence includes a T1-weighted with contrast image, a Fluid Attenuated Inversion Recovery (FLAIR) image, a T1-weighted image, and a T2-weighted image. Each image of the plurality of MRI sequences is registered to an anatomical atlas. A plurality of modified MRI sequences are generated by removing a skull from each image in the plurality of MRI sequences. A tumor segmentation map is determined by segmenting a tumor within a brain in each image in the plurality of modified MRI sequences. The tumor segmentation map is applied to each of the plurality of MRI sequences to thereby generate a plurality of labelled MRI sequences.

The present invention is to acquire a multiphase image while avoiding extension of imaging time and excluding an influence of displacement of an image of each multiphase due to a motion. A method for collecting measurement data is to repeat sampling such that low-frequency data and high-frequency data have different densities. At this time, a sampling interval is set shorter than a motion cycle. Motion information is acquired in parallel with imaging, and measurement data obtained in time series is divided into a plurality of time phases based on the motion information so as to obtain a multiphase image. Displacement correction between multiphase images is performed, and then the multiphase images are integrated. Alternatively, measurement data after the displacement correction is used to generate a time-series image.

The present techniques relate to a techniques for performing cardiac perfusion imaging in order to detect perfusion defects in the myocardium. The present techniques relate to methods for performing cardiac perfusion imaging by performing at least two image acquisitions using different, customizable saturation delay times, which improves the ability to detect defects.

Disclosed is a method and apparatus for frequency drift correction of magnetic resonance CEST imaging, and a medium and an imaging device. The method comprises the following steps: firstly, in the frequency drift correction module, exciting a target slice by using a small flip-angle radio-frequency pulse, and acquiring a single line of free induction decay signals or two lines of non-phase encoding gradient echo signals; secondly, respectively calculating a value of the main magnetic field frequency drift according to phase information and an acquisition time of the single line of free induction decay signals or the two lines of non-phase encoding gradient echo signals; then adjusting the center frequency of the magnetic resonance device in real time according to the calculated value of the main magnetic field frequency drift, and achieving the real-time correction of main magnetic field frequency drift; and finally, performing CEST imaging.

The present disclosure relates to an imaging system and method. Specifically, an imaging system comprises: a positioning image acquisition unit, configured to acquire a positioning image of a scanning object; a monitoring slice image acquisition unit, configured to determine a key point corresponding to the position of a target region of interest in the positioning image by using a neural network, and acquire a monitoring slice image of the scanning object at the position of the key point; and a target region-of-interest segmentation unit, configured to segment the monitoring slice image to obtain the target region of interest. The present disclosure can accurately acquire the position of the monitoring slice, and can accurately obtain the target region of interest through segmentation by a cascaded coarse segmentation and fine segmentation.

A method for delineating a ventricle from MRI data relating to the heart of a patient, the method comprising: a) providing a contrast-enhanced cine MRI dataset; b) providing one or more additional MRI datasets; c) segmenting one or more features on the additional MRI dataset or datasets; d) mapping the segmented features to the contrast-enhanced cine MRI dataset; and e) using the segmented features as mapped in step d) to assist segmentation of the ventricle on the contrast-enhanced cine MRI dataset.
A corresponding device and computer program are also disclosed.