Systems and Methods that identify the effect of motion during a medical imaging procedure. A neural network is trained to translate motion induced deviations of a coil-mixing matrix relative to a reference acquisition into a motion score. This score can be used for the prospective detection of the most corrupted echo trains for removal or triggering a replacement by reacquisition.

In a method for automatic control of an examination sequence in magnetic resonance (MR) system during recording of MR signals in an examination segment of a person being examined, which has two tissue components with two different MR resonant frequencies, an examination sequence for examination of the examination segment is determined. Further, whether the examination sequence includes an imaging sequence in which one of the two tissue components is to be suppressed and for which at least two different suppression options exist to reduce the one of the two tissue components during the recording of the MR signals is determined. In response to the determination that the examination sequencing included the imaging sequence, the method can include determining a sequence parameter of the examination for the imaging sequence; and selecting one of the at least two suppression options as a function of the sequence parameter determined for the imaging sequence.

The invention also refers to a flexible coil element for a flexible coil array, for a magnetic resonance imaging apparatus. The invention also refers to a flexible coil array, for a magnetic resonance imaging apparatus, for indicating a loading state of a flexible coil element being positioned on at least one inductive element. The invention also refers to a method for indicating a loading state of a flexible coil element being positioned on at least one inductive element. The flexible coil element is comprised by a flexible coil array, wherein the flexible coil array comprises at least one flexible coil element. Furthermore, the invention refers to a software package comprising instructions for carrying out the method steps.

One or more example embodiments relates to a method for supporting an MRT examination of a patient via a coil placed on the patient. One or more example embodiments also relates to apparatus, a control facility for an MRT system and also an MRT system.

For a complex image to be complexly added, appropriate phase correction is executed by a simple method to prevent occurrence of an artifact in a signal region and to reduce noise in a background region. Two or more types of smoothing processing with different smoothing degrees are executed on a phase image of the complex image to obtain two or more types of smoothed phase images having different smoothing degrees. A weight for each of these smoothed phase images is calculated based on a signal value (SNR) of an intensity image, and addition is performed by a weight for each signal value to obtain a smoothed phase image for correction. After a phase of the complex image is corrected using the smoothed phase image, a phase-corrected complex image is complexly added. As a result, phase correction equivalent to phase correction in which a smoothing degree is weakened in the signal region and a smoothing degree is strengthened in the background region is realized.

Systems and Methods that identify the effect of motion during a medical imaging procedure. A neural network is trained to translate motion induced deviations of a coil-mixing matrix relative to a reference acquisition into a motion score. This score can be used for the prospective detection of the most corrupted echo trains for removal or triggering a replacement by reacquisition.

According to some aspects, a method of suppressing noise in an environment of a magnetic resonance imaging system is provided. The method comprising estimating a transfer function based on multiple calibration measurements obtained from the environment by at least one primary coil and at least one auxiliary sensor, respectively, estimating noise present in a magnetic resonance signal received by the at least one primary coil based at least in part on the transfer function, and suppressing noise in the magnetic resonance signal using the noise estimate.

The present disclosure provides a system and method for image data acquisition. The method may include obtaining image data of a subject including a first type of tissue and a second type of tissue. The method may include determining, based on the image data of the subject, a target portion including at least a portion of at least one of the first type of tissue or the second type of tissue. The method may include determining, based at least in part on the target portion represented in the image data, a scan mode corresponding to the target portion. The method may include causing an imaging device to acquire, based on the scan mode, image data of the target portion.

The present invention relates to a system (10) for functional magnetic resonance image data acquisition. The system comprises an input unit (20), a magnetic resonance imaging “MRI” device (30), an electroencephalography “EEG” data acquisition device (40), and a processing unit (50). The input unit is configured to provide task based information to a patient, wherein the task based information extends over a period of time. The MRI device is configured to acquire functional magnetic resonance imaging “fMRI” data relating to brain activity of the patient, wherein the fMRI data extends over the period of time. The EEG device is configured to acquire EEG data relating to electrical activity of the brain of the patient, wherein the EEG data extends over the period of time. The processing unit is configured to utilize the task based information that extends over the period of time and the EEG data that extends over the period of time to determine at least one first sub-set period of time over the period of time. The processing unit is configured to determine an action associated with acquisition of the fMRI data over the at least one first sub-set period of time.

An excitation region setting method according to an embodiment includes: receiving a designation of a first region from a user, the first region being designated in a distortion-corrected image that is a magnetic resonance image in which an effect of a distortion of a magnetic field has been corrected; calculating an actual excitation region where a subject is to be excited, based on the designated first region and the effect of the distortion of the magnetic field; and correcting imaging conditions including at least one of an orientation of a slice plane that defines the actual excitation region, or a frequency of a high-frequency magnetic field applied to the subject, in such a manner that the calculated actual excitation region becomes closer to an ideal excitation region represented as the first region.