Abstract: A method for acquiring a magnetic resonance image dataset of an object includes using an imaging protocol in which a number of k-space lines are acquired in one shot. The imaging protocol includes a plurality of shots. A plurality of additional k-space lines are acquired in at least a subset of the shots, such that movement of the object is detected throughout the imaging protocol. A method for generating a motion-corrected magnetic resonance image dataset from the dataset thus acquired, a magnetic resonance imaging apparatus, and a computer program are also provided.

Abstract: A method for reconstructing a motion-corrected magnetic resonance image of a subject.

Abstract: A method for generating a motion-corrected MR image dataset of a subject includes: acquiring k-space data of an MR image of a subject in an imaging sequence; acquiring at least two low-resolution scout images of the subject interleaved with the k-space data of the imaging sequence; comparing the scout images with one another in order to detect and/or to estimate subject motion between the scout images; and reconstructing a motion-corrected MR image dataset from the k-space data acquired in the imaging sequence. The reconstruction process includes: estimating the motion trajectory of the subject by comparing the k-space data with at least one of the low-resolution scout images; and estimating the motion-corrected image dataset using the estimated motion trajectory, wherein the estimations involve minimizing the data consistency error between the acquired k-space data and a forward model described by an encoding operator.

Abstract: A method for generating a motion-corrected magnetic resonance image dataset of a body region of a subject, the method comprising receiving magnetic resonance data acquired of the body region; receiving information on the body region covered by the magnetic resonance image dataset; weighting at least part of the received magnetic resonance data by reducing the signal originating from parts of the body region that are expected to have undergone non-rigid and/or independent motion during the acquisition, thereby producing weighted magnetic resonance data; and estimating the motion-corrected image dataset by minimizing the data consistency error between the magnetic resonance data acquired in the imaging protocol and a forward model described by an encoding matrix, wherein the encoding matrix includes motion parameters, Fourier encoding, and optionally subsampling and/or coil sensitivities of a multi-channel coil array, wherein the estimation includes at least one step of estimating motion parameters from the wei

Abstract: A method for acquiring a magnetic resonance image dataset of an object includes using an imaging protocol in which a number of k-space lines are acquired in one shot. The imaging protocol includes a plurality of shots. A plurality of additional k-space lines are acquired in at least a subset of the shots, such that movement of the object is detected throughout the imaging protocol. A method for generating a motion-corrected magnetic resonance image dataset from the dataset thus acquired, a magnetic resonance imaging apparatus, and a computer program are also provided.

Abstract: A method is provided for acquiring a magnetic resonance image dataset of an object, using an imaging protocol in which several k-space lines are acquired in one echo train, wherein the echo train may include one or several sub echo trains, and wherein the imaging protocol includes a plurality of echo trains. Within the method, a set of additional k-space lines within a central region of k-space is acquired a number of times per echo train, wherein the number is greater than 1, in order to detect movement of the object during the echo train. The sets of additional k-space lines are acquired at pre-determined positions within the echo trains. The disclosure is also directed to a method for generating a motion-corrected magnetic resonance image dataset from the dataset thus acquired, a magnetic resonance imaging apparatus, and a computer program.

Abstract: A motion estimation method and apparatus for magnetic resonance imaging and a magnetic resonance imaging system. The method includes: calculating a rigid body motion vector of a subject for each of a most recent N imaging excitations; according to pilot tone (PT) data of each channel acquired for the most recent N imaging excitations and N rigid body motion vectors calculated for the most recent N imaging excitations, calculating a linear transformation model for transforming from the PT data of each channel acquired for the most recent N imaging excitations to the N rigid body motion vectors; and for each subsequent imaging excitation, according to PT data of each channel acquired during an echo duration of each echo and the linear transformation model, calculating a rigid body motion vector of the subject for each echo of each imaging excitation.

Abstract: A computer-implemented method for providing a final motion corrected image dataset includes: receiving magnetic resonance data; determining a first motion corrected image dataset by solving a first optimization problem, wherein the first optimization problem depends on the magnetic resonance data and on motion data, and wherein the motion data concerns a movement of an object during the acquisition of the magnetic resonance data; processing the first motion corrected image dataset by an algorithm for image quality improvement to provide a processed image dataset; determining a second motion corrected image dataset by solving a second optimization problem that depends on the magnetic resonance data, on the motion data and on the processed image dataset, and either providing the second motion corrected image dataset as the final motion corrected image dataset or determining the provided final motion corrected image dataset based on the second motion corrected image dataset.

Abstract: A method for acquiring a magnetic resonance image dataset of a body part of a subject includes acquiring a low-resolution magnetic resonance image of the body part, optionally acquiring a reference set of additional k-space lines within a central region of k-space, and acquiring further sets of additional k-space lines within a central region of k-space at intervals throughout the imaging protocol. The method includes applying a trained machine learning model to a dataset including the low-resolution image in k-space notation and a further set of additional k-space lines. A set of pose parameters is generated. The pose parameters are used for prospective and/or retrospective motion correction of the magnetic resonance image dataset.

Abstract: A method for acquiring a magnetic resonance image dataset of a field-of-view using a gradient-echo imaging protocol includes acquiring additional k-space lines within a central region of k-space at intervals throughout the imaging protocol, wherein the additional k-space lines are used for estimating motion parameters of the field-of-view. The imaging protocol has been amended by inserting additional gradient blips after at least some of the RF excitations, such that at least one additional gradient echo is generated, allowing the acquisition of at least one additional k-space line during one echo time.

Abstract: A method for acquiring a magnetic resonance image dataset of a field-of-view using an imaging protocol includes acquiring a low-resolution scout image dataset of the field-of-view, and sets of one or more additional k-space lines within a central region of k-space at regular intervals during the imaging protocol. A contrast of the low-resolution scout image dataset and a contrast of the sets of one or more additional k-space lines are matched and are independent of a contrast of the magnetic resonance image dataset. The low-resolution scout image dataset and the sets of one or more additional k-space lines are acquired after an at least approximately matched magnetization preparation and matched recovery times.

Abstract: A method for acquiring a magnetic resonance image dataset of a subject is disclosed, wherein k-space is sampled during the acquisition in a plurality of k-space lines having different positions in the phase encoding direction. The method includes: sampling a first part of k-space by acquiring a number of k-space lines; determining a subject motion trajectory including motion data of the subject at one or several time points during the acquisition; associating the motion data with the positions along the phase encoding direction(s) of the k-space lines which were or will be acquired at the time points of the motion data; analyzing the distribution of the motion data in k-space and calculating a metric of variation of the motion data; and selecting the positions of the k-space lines of a next part of k-space to be acquired in the imaging protocol, depending on the metric of variation.

Abstract: A method for reconstructing a motion-corrected magnetic resonance image of a subject includes providing k-space magnetic resonance data including a plurality of shots, wherein each shot corresponds to an individual motion state of the subject. The method further includes providing motion parameters related to each motion state, determining redundancies across the motion states of the plurality of shots based on the motion parameters, compressing the plurality of motion states based on the determined redundancies across the motion states, and reconstructing the magnetic resonance image from the k-space magnetic resonance data based on the compressed plurality of motion states.

Abstract: In a method and system for reducing motion artifacts in magnetic resonance image data, a scout scan of the region of the patient is performed, a magnetic resonance (MR) measurement of the region of the patient is performed to acquire MR image data of the region of the patient, and motion correction is performed on the acquired MR image data based on the scout scan to generate corrected MR image data. The motion correction technique advantageously reduces an influence of a patient motion on the magnetic resonance image data.

Abstract: A method for reconstructing a MRI image may include: receiving MRI measurement data sets f1 to fN, each data set being acquired from an examination object based on a different MRI protocol of an MRI system; receiving MRI images u10 to uN0 corresponding to the MRI measurement data sets f1 to fN; performing one or more translation and rotation transformations on the MRI images u10 to uN0; applying one or more trained functions: to the transformed MRI images u10 to uN0, using a neural network, and to the MRI images u10 to uN0, using a forward-sampling operator; performing one or more inverse translation and rotation transformations on an output of the neural network; and generating at least one output MRI image uT based on an output of the forward-sampling operator, the inversely transformed output of the neural network, and the input MRI images u10 to uN0.

Abstract: A method for generating a motion-corrected MR image dataset of a subject includes: acquiring k-space data of an MR image of a subject in an imaging sequence; acquiring at least two low-resolution scout images of the subject interleaved with the k-space data of the imaging sequence; comparing the scout images with one another in order to detect and/or to estimate subject motion between the scout images; and reconstructing a motion-corrected MR image dataset from the k-space data acquired in the imaging sequence. The reconstruction process includes: estimating the motion trajectory of the subject by comparing the k-space data with at least one of the low-resolution scout images; and estimating the motion-corrected image dataset using the estimated motion trajectory, wherein the estimations involve minimizing the data consistency error between the acquired k-space data and a forward model described by an encoding operator.

Abstract: A method is provided for acquiring a magnetic resonance image dataset of an object, using an imaging protocol in which several k-space lines are acquired in one echo train, wherein the echo train may include one or several sub echo trains, and wherein the imaging protocol includes a plurality of echo trains. Within the method, a set of additional k-space lines within a central region of k-space is acquired a number of times per echo train, wherein the number is greater than 1, in order to detect movement of the object during the echo train. The sets of additional k-space lines are acquired at pre-determined positions within the echo trains. The disclosure is also directed to a method for generating a motion-corrected magnetic resonance image dataset from the dataset thus acquired, a magnetic resonance imaging apparatus, and a computer program.

Abstract: Techniques are described for detecting a specified substance in an examination object by way of a magnetic resonance apparatus. A controller ascertains a magnetic resonance sequence comprising at least one sub-sequence for detecting at least one substance to be detected in the examination object as a function of the at least one substance to be detected, and ascertains at least one measuring instant for capturing a respective MRT signal to detect the at least one substance to be detected in the examination object as a function of the at least one substance to be detected. The at least one MRT signal is evaluated for fulfillment of a predetermined detection condition, and a presence of the at least one substance to be detected is established when the at least one MRT signal fulfils the predetermined detection condition.

Abstract: A three-dimensional magnetic resonance image dataset of an object is acquired using a multi-shot imaging protocol in which several k-space lines are acquired in one shot. The three-dimensional k-space includes a central region and a periphery, wherein the sampling order of k-space lines differs between the central region and the periphery. At least one k-space line from each shot passes through the central region, whereas the periphery includes regions, which are sampled by k-space lines from a subset of the plurality of shots.

Abstract: A method for acquiring a magnetic resonance image dataset of an object includes using an imaging protocol in which a number of k-space lines are acquired in one shot. The imaging protocol includes a plurality of shots. A plurality of additional k-space lines are acquired in at least a subset of the shots, such that movement of the object is detected throughout the imaging protocol. A method for generating a motion-corrected magnetic resonance image dataset from the dataset thus acquired, a magnetic resonance imaging apparatus, and a computer program are also provided.