The disclosure relates to a method for monitoring a motion of a subject, as well as to a corresponding system and computer program product. As part of the method, a monitoring signal is emitted towards a corresponding receiver. The motion of the subject is then detected based on a change in the received monitoring signal. Therein, the monitoring signal is emitted using a spread-spectrum technique and/or using an M-to-N and multi-antenna emitter-receiver system with a set of M transmitting antennas and a set of N receiving antennas.

The present disclosure provides a system and method for motion field generation and image correction. The method may include obtaining a plurality of first sets of magnetic resonance (MR) image data of an object generated based on a plurality of first sets of imaging sequences. The method may include obtaining a motion curve of the object. The method may include obtaining position emission tomography (PET) image data of the object generated in a scanning time period. The method may include generating one or more target motion fields corresponding to the scanning time period based on the plurality of first sets of MR image data and the motion curve. The method may include generating one or more corrected PET images by correcting, based on the one or more target motion fields, the PET image data.

A method for adapting a medical system to an object movement during medical examination of the object and a medical system configured for carrying out the method. The medical system has a device for detecting and quantifying a motion of the object before or during an acquisition of diagnostic data. The system for detecting and quantifying a motion of the object is able to directly identify and qualify the occurrence of object motion and to automatically suggest an adaptation of the diagnostic data acquisition strategy/technique as a function of the object motion.

A method for performing 3D body imaging includes performing a 3D MRI acquisition of a patient to acquire k-space data and dividing the k-space data into k-space data bins. Each bin includes a portion of the k-space data corresponding to a distinct breathing phase. 3D image sets are reconstructed from the bins, with each 3D image set corresponding to a distinct k-space data bin. For each bin other than a selected reference bin, forward and inverse transforms are calculated between the 3D image set corresponding to the bin and the 3D image set corresponding to the reference bin. Then, a motion corrected and averaged image is generated for each bin by (a) aligning the 3D image set from each other bin to the 3D image set corresponding to the bin using the transforms, and (b) averaging the aligned 3D image sets to yield the motion corrected and averaged image.

An imaging processing method that acquires first and second overlapping image data sets by performing first and second measurements on an overlapping location at first and second times, wherein the first and second times are different times; determines whether the first and second overlapping image data sets have substantially a same image quality; and generating and outputting, a first weighted overlapping combined image by combining (a) first weighted image data generated by applying a first weight to an overlapping frequency range of the overlapping image data set having a higher image quality and (b) second weighted image data generated by applying a second weight to the overlapping frequency range of the overlapping image data set having a lower image quality, wherein the first weight is larger than the second weight.

A magnetic resonance imaging (MRI) apparatus includes a radio frequency (RF) receiver which acquires a magnetic resonance (MR) signal received by at least one channel coil, and an image processor which acquires a data set of a k-space for the at least one channel coil by oversampling the MR signal in a readout direction of the k-space, divides the data set into a plurality of sub-data sets, and acquires an MR image based on the plurality of sub-data sets.

In order to remove restriction on the number of additions in imaging for offsetting errors caused by hardware performance and/or signal fluctuation caused by a hardware control method by inverting the polarity of predetermined hardware output, the present invention executes a first imaging sequence and a second imaging sequence in which the polarity of a predetermined gradient magnetic field pulse in the first imaging sequence was inverted, adds data acquired in each imaging sequence, and then acquires addition images. In order to perform the addition, each coefficient is determined so that the total of coefficients by which first data acquired in the first imaging sequence are to be multiplied is equal to the total of coefficients by which second data acquired in the second imaging sequence are to be multiplied.

A method for measuring oil-water distribution using DNP-MRI, comprising adding a free radical for DNP enhanced NMR signal of a water phase or an oil phase in a sample containing oil and water; performing an MRI experiment on the sample, and collecting an MRI image of the sample without DNP enhancement; applying microwave excitation for DNP-MRI experiment under the same MRI experiment condition as step 2, and collecting an MRI image of the sample after DNP enhancement; and comparing the MRI image after DNP enhancement with the MRI image without DNP enhancement. In the MRI image with DNP enhancement, an area with enhanced MRI signal intensity is a selectively enhanced fluid phase distribution area, and an area without obviously changed MRI signal intensity is a non-selectively enhanced fluid phase distribution area. The method is simple, convenient to operate, short in measurement time, and high in measurement efficiency.

According to one embodiment, an image processing apparatus includes a storage unit configured to store data of a series of slice images associated with a region including a target region of an object, a first rest period specifying unit configured to specify a first rest period based on a change between images of the series of slice images, and a second rest period specifying unit configured to specify a second rest period shorter than the first rest period by tracking the target region on a plurality of slice images corresponding to the specified first rest period or a rest period enlarged from the first rest period.

Techniques are disclosed related to the compensation of phase variations introduced into k-space lines, which cause imaging artifacts. The techniques utilize the detection of motion via an encoding plus motion model, which does not require the use of additional prospective or retrospective motion detection techniques. The techniques described herein use the encoding plus motion model to reconstruct an initial image from a set of motion states, and then calculate phase information from images that are projected form the initial reconstructed image using a projection onto convex sets (POCS). The phase information is incorporated into the encoding plus motion model over several iterations to minimize data consistency error, thereby generating a refined image that compensates for patient motion over the set of motion states.