Abstract: The disclosure relates to a technique for providing an image of diagnostically relevant area of a jaw region of a patient by means of a magnetic resonance apparatus by capturing information about the jaw region of the patient, which comprises at least one reference to a position and/or an extent of the diagnostically relevant area of the jaw region. The technique also includes adjusting a parameter of a magnetic resonance measurement as a function of the captured information about the jaw region of the patient, carrying out the magnetic resonance measurement with the adjusted parameter, capturing image data of the jaw region of the patient, reconstructing an image of the diagnostically relevant area of the jaw region as a function of the captured image data, and providing the image of the diagnostically relevant area of the jaw region of the patient.

Abstract: In a method for masking one or more regions surrounding an anatomical region of interest for each of one or more MRI images obtained from MRI imaging data, the one or more regions surrounding the anatomical region of interest are masked based on control data determined for identifying the anatomical region of interest in the MRI imaging data. The MRI imaging data may be obtained during an MRI exam of a patient for a measurement volume including the anatomical region of interest. The anatomical region of interest may be ascertained before performing the MRI exam.

Abstract: In a method and system for reducing motion artifacts in magnetic resonance image data acquired from a facial region of a patient, the patient is positioned in an imaging region of a magnetic resonance imaging device configured to perform a magnetic resonance measurement of the facial region of the patient, the magnetic resonance measurement is performed to acquire magnetic resonance image data of the facial region of the patient, and a motion correction technique is employed exploiting an accessibility to the facial region of the patient during the magnetic resonance measurement. The motion correction technique advantageously reduces an influence of a patient motion on the magnetic resonance image data.

Abstract: A computer-implemented method of performing deep learning based isocenter positioning includes acquiring a plurality of slabs covering an anatomical area of interest that comprises a patient's heart. For each slab, one or more deep learning models are used to determine a likelihood score for the slab indicating a probability that the slab includes at least a portion of the patient's heart. A center position of the patient's heart may then be determined based on the likelihood scores determined for the plurality of slabs.

Abstract: A magnetic resonance apparatus, for acquiring magnetic resonance data from a person who is asleep, includes a person support apparatus to provide a sleeping place; an acquisition arrangement including a radiofrequency coil arrangement for transmitting excitation pulses and for receiving magnetic resonance signals; and a controller, designed to operate the acquisition arrangement according to a magnetic resonance sequence for acquiring a magnetic resonance dataset from a region under examination of the person. The magnetic resonance apparatus includes a main magnetic field of strength less than 20 mT, in particular less than 10 mT, and the controller includes an acquisition unit for acquiring a magnetic resonance dataset via a prolonged magnetic resonance sequence having a total acquisition duration of more than one hour.

Abstract: The disclosure relates to a technique for providing an image of diagnostically relevant area of a jaw region of a patient by means of a magnetic resonance apparatus by capturing information about the jaw region of the patient, which comprises at least one reference to a position and/or an extent of the diagnostically relevant area of the jaw region. The technique also includes adjusting a parameter of a magnetic resonance measurement as a function of the captured information about the jaw region of the patient, carrying out the magnetic resonance measurement with the adjusted parameter, capturing image data of the jaw region of the patient, reconstructing an image of the diagnostically relevant area of the jaw region as a function of the captured image data, and providing the image of the diagnostically relevant area of the jaw region of the patient.

Abstract: A magnetic resonance apparatus, for acquiring magnetic resonance data from a person who is asleep, includes a person support apparatus to provide a sleeping place; an acquisition arrangement including a radiofrequency coil arrangement for transmitting excitation pulses and for receiving magnetic resonance signals; and a controller, designed to operate the acquisition arrangement according to a magnetic resonance sequence for acquiring a magnetic resonance dataset from a region under examination of the person. The magnetic resonance apparatus includes a main magnetic field of strength less than 20 mT, in particular less than 10 mT, and the controller includes an acquisition unit for acquiring a magnetic resonance dataset via a prolonged magnetic resonance sequence having a total acquisition duration of more than one hour.

Abstract: In a method and system for reducing motion artifacts in magnetic resonance image data acquired from a facial region of a patient, the patient is positioned in an imaging region of a magnetic resonance imaging device configured to perform a magnetic resonance measurement of the facial region of the patient, the magnetic resonance measurement is performed to acquire magnetic resonance image data of the facial region of the patient, and a motion correction technique is employed exploiting an accessibility to the facial region of the patient during the magnetic resonance measurement. The motion correction technique advantageously reduces an influence of a patient motion on the magnetic resonance image data.

Abstract: A computer-implemented method of performing deep learning based isocenter positioning includes acquiring a plurality of slabs covering an anatomical area of interest that comprises a patient's heart. For each slab, one or more deep learning models are used to determine a likelihood score for the slab indicating a probability that the slab includes at least a portion of the patient's heart. A center position of the patient's heart may then be determined based on the likelihood scores determined for the plurality of slabs.

Abstract: A method includes introducing the examination object into an examination region of a combination device; recording emission computed tomography data over a measurement period and storing detection events and detection instants associated therewith; measuring magnetic resonance data of at least two subregions of the examination region at at least two instants during the recording period of the emission computed tomography data and storing the magnetic resonance data and the recording instants; determining motion information describing a motion of a region of the examination object at a first instant relative to the position at a second instant from the magnetic resonance data recorded at the first instant and the second instant, for each subregion; determining a motion model describing motion of the examination object, for the entire object, from information for the subregions; and calculating motion-corrected emission tomography data from detection events, detection instants and the motion model.

Abstract: A method of magnetic resonance (MR) imaging of a volume undergoing repetitive motion includes obtaining source slice data indicative of a plurality of source slices during the repetitive motion, and obtaining anchor slice data indicative of an anchor slice during the repetitive motion. The anchor slice intersects the plurality of source slices. The source slice data and the anchor slice data are reconstructed. A three-dimensional image assembly procedure is implemented to generate, for each phase of the repetitive motion, volume data based on a respective subset of the reconstructed source slice data. For each phase of the repetitive motion, the respective subset of slices is selected based on a correlation of the source slice data and the anchor slice data along an intersection between each source slice and the anchor slice. The source slice data of the selected subset is corrected for misalignment with the anchor slice data.

Abstract: A method for operating a Magnetic Resonance (MR) imaging system including generating radio frequency (RF) excitation pulses in a volume of patient anatomy that includes a patient's heart to provide subsequent acquisition of associated RF echo data and generating slice select magnetic field gradients for phase encoding and readout RF data acquisition in the volume of patient anatomy. The method also includes acquiring a plurality of slices of an image of the volume of patient anatomy within a plurality of cycles representing time period between successive beats of the patient's heart. The method also includes causing, by a control processor, accelerated acquisition of two or more slices of the plurality of slices within a quiescent phase of each of the plurality of cycles. The method further includes applying, by the control processor, one or more saturation areas proximate to a target volume of the patient anatomy.

Abstract: A method for operating a Magnetic Resonance (MR) imaging system including generating radio frequency (RF) excitation pulses in a volume of patient anatomy that includes a patient's heart to provide subsequent acquisition of associated RF echo data and generating slice select magnetic field gradients for phase encoding and readout RF data acquisition in the volume of patient anatomy. The method also includes acquiring a plurality of slices of an image of the volume of patient anatomy within a plurality of cycles representing time period between successive beats of the patient's heart. The method also includes causing, by a control processor, accelerated acquisition of two or more slices of the plurality of slices within a quiescent phase of each of the plurality of cycles. The method further includes applying, by the control processor, one or more saturation areas proximate to a target volume of the patient anatomy.

Abstract: A method of magnetic resonance (MR) imaging of a volume undergoing repetitive motion includes obtaining source slice data indicative of a plurality of source slices during the repetitive motion, and obtaining anchor slice data indicative of an anchor slice during the repetitive motion. The anchor slice intersects the plurality of source slices. The source slice data and the anchor slice data are reconstructed. A three-dimensional image assembly procedure is implemented to generate, for each phase of the repetitive motion, volume data based on a respective subset of the reconstructed source slice data. For each phase of the repetitive motion, the respective subset of slices is selected based on a correlation of the source slice data and the anchor slice data along an intersection between each source slice and the anchor slice. The source slice data of the selected subset is corrected for misalignment with the anchor slice data.

Abstract: A method and system for automated view planning for cardiac magnetic resonance imaging (MRI) acquisition is disclosed. The method and system automatically generate a full scan prescription using a single 3D MRI volume. The left ventricle (LV) is segmented in the 3D MRI volume. Cardiac landmarks are detected in the automatically prescribed slices. A full scan prescription, including a short axis stack and 2-chamber, 3-chamber, and 4-chamber views, is automatically generated based on cardiac anchors provided by the segmented left ventricle and the detected cardiac landmarks in the 3D MRI volume.

Abstract: A method includes introducing the examination object into an examination region of a combination device; recording emission computed tomography data over a measurement period and storing detection events and detection instants associated therewith; measuring magnetic resonance data of at least two subregions of the examination region at at least two instants during the recording period of the emission computed tomography data and storing the magnetic resonance data and the recording instants; determining motion information describing a motion of a region of the examination object at a first instant relative to the position at a second instant from the magnetic resonance data recorded at the first instant and the second instant, for each subregion; determining a motion model describing motion of the examination object, for the entire object, from information for the subregions; and calculating motion-corrected emission tomography data from detection events, detection instants and the motion model.

Abstract: A system receives cardiac cine MR images consists of multiple slices of the heart over time. A series of short axis images slices are received. Long axis images are also received by the system, wherein a base plane defined by landmark points is detected. An intersection of the base plane with a contour of a heart chamber is determined for a plurality of slices in the short axis image. A volume for each of the contour slices covering the heart chamber, including for contours that are limited by base plane intersections, is evaluated. All slice volumes are summed to determine a total volume of the chamber. In one embodiment the chamber is a left ventricle and the landmark is a mitral valve. An ejection factor is determined.

Abstract: A system receives cardiac cine MR images consists of multiple slices of the heart over time. A series of short axis images slices are received. Long axis images are also received by the system, wherein a base plane defined by landmark points is detected. An intersection of the base plane with a contour of a heart chamber is determined for a plurality of slices in the short axis image. A volume for each of the contour slices covering the heart chamber, including for contours that are limited by base plane intersections, is evaluated. All slice volumes are summed to determine a total volume of the chamber. In one embodiment the chamber is a left ventricle and the landmark is a mitral valve. An ejection factor is determined.

Abstract: In a method and device to automatically determine a rest phase of the heart of an examination person in an imaging device, multiple images of the heart are acquired during a cardiac cycle and the rest phase of the heart is automatically determined by post-processing of the acquired images, and the determined rest phase is used for subsequent measurements.

Abstract: A method is disclosed for processing medical image data which image a structure layer by layer, the image data for at least some layers respectively including a plurality of layer images. In at least one embodiment, the method includes segmentation of the structure in the layer images and determination respectively of a position of a point in a layer image. In at least one embodiment, at least one layer image set is furthermore compiled on the basis of the representative points in the layer images.