Abstract: Techniques are described for carrying out a dental magnetic resonance imaging examination of a field-of-view within a subject, the field-of-view including a dental area of the subject. The techniques include determining whether a metallic object is present within or near the field-of-view, initiating a standard examination workflow if it has been determined that no metallic object is present within or near the field-of-view, and initiating a modified examination workflow that is different from the standard examination workflow if it has been determined that a metallic object is present within or near the field-of-view, and carrying out the standard examination workflow or the modified examination workflow.

Abstract: The disclosure relates to a hygiene cover for preventing a contamination of a target surface of a medical imaging device. The hygiene cover is configured for reversibly attaching to the target surface of the medical imaging device and/or a body region of a patient, and the reversible attachment is configured to provide for maintaining a predefined relative position of the hygiene cover to the medical imaging device.

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: 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.

Abstract: A method of visualizing spinal nerves includes receiving a 3D image volume depicting a spinal cord and a plurality of spinal nerves. For each spinal nerve, a 2D spinal nerve image is generated by defining a surface within the 3D volume comprising the spinal nerve. The surface is curved such that it passes through the spinal cord while encompassing the spinal nerve. Then, the 2D spinal nerve images are generated based on voxels on the surface included in the 3D volume. A visualization of the 2D spinal images is presented in a graphical user interface that allows each 2D spinal image to be viewed simultaneously.

Abstract: A method of visualizing spinal nerves includes receiving a 3D image volume depicting a spinal cord and a plurality of spinal nerves. For each spinal nerve, a 2D spinal nerve image is generated by defining a surface within the 3D volume comprising the spinal nerve. The surface is curved such that it passes through the spinal cord while encompassing the spinal nerve. Then, the 2D spinal nerve images are generated based on voxels on the surface included in the 3D volume. A visualization of the 2D spinal images is presented in a graphical user interface that allows each 2D spinal image to be viewed simultaneously.

Abstract: A method of visualizing spinal nerves includes receiving a 3D image volume depicting a spinal cord and a plurality of spinal nerves. For each spinal nerve, a 2D spinal nerve image is generated by defining a surface within the 3D volume comprising the spinal nerve. The surface is curved such that it passes through the spinal cord while encompassing the spinal nerve. Then, the 2D spinal nerve images are generated based on voxels on the surface included in the 3D volume. A visualization of the 2D spinal images is presented in a graphical user interface that allows each 2D spinal image to be viewed simultaneously.

Abstract: A method improves a detection of a brain tissue pathology in magnetic resonance (MR) images of a patient. The method includes acquiring multiple MR imaging data for creating four different contrast maps of a patient brain. From the multiple MR imaging data, performing an estimation of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF) concentration for each voxel of a part of the patient brain. From the multiple MR imaging data, segmenting the part of the patient brain in different regions-of-interest (ROIs) according to a chosen atlas. For each voxel of each of the contrast maps of the patient brain, computing, for the part of the patient brain, a deviation score. The method further includes creating from the deviation score and for each of the quantitative contrast maps, a deviation map representing the part of the brain in dependence on the deviation score calculated for each voxel.

Abstract: A method is disclosed for recording a parameter map of a target region via a magnetic resonance device. In at least one embodiment, an optimization method is used for the iterative reconstruction of the parameter map. In the optimization method, the deviation of undersampled magnetic resonance data of the target region present in the k-space for different echo times, magnetic resonance data of a portion of the k-space being present in each case for each echo time, is assessed from hypothesis data of a current hypothesis for the parameter map obtained as a function of the parameter from a model for the magnetization. To determine the magnetic resonance data of a portion of the k-space, undersampled raw data is initially acquired within the portions by way of the magnetic resonance device embodied for parallel imaging, and missing magnetic resonance data within the portions is completed by way of interpolation.

Abstract: A method for improving image homogeneity of image data acquired from balanced Steady-State Free Precision (bSSFP) sequences in magnetic resonance imaging. Multiple bSSFP sequences are performed with different radio frequency phase increments to create multiple bSSFP image volumes with different phase offsets ?. Each image has voxels whose intensity M is a function of a nuclear resonance signal (or magnetization) measured by the MR imaging apparatus. Per-voxel fitting of a mathematical signal model onto the measured magnetization of the field of view in function of the phase offsets ?. Then the spin density M0, the relaxation time ratio ? and the local phase offset ?? are determined from the fit for each voxel. A homogeneous image of the object is generated by calculating the signal intensity in each voxel, using the spin density M0 and the relaxation time ratio ?, wherein ?? is chosen such that ????=0°.

Abstract: An atlas-free magnetic resonance imaging method images at least one part of a brain. An MRI sequence configured for acquiring two image volumes of the part at different inversion times within a single acquisition is combined to a fat-water separation method for acquiring a fat-water separated image. For each echo time two image volumes are acquired, respectively a first image volume and a second image volume at the first echo time, and a first image volume and a second image volume at the second echo time, and combined to a uniform image. The acquired images are combined to form a final uniform image, a final fat-water separated image, and a final second image volume that are fed into a multichannel image segmentation algorithm using a Markov random field model for segmenting the part into multiple classes of cranial tissues, in order to obtain a segmented image of said part.

Abstract: A motion detection system detects object motion in a medical imaging system. The computer-implemented calibration method includes an automatic calibration process for determining a motion threshold for the object motion detection system, while the object is positioned for imaging by the medical imaging system. The calibration process includes: repeatedly acquiring motion detection data and repeatedly acquiring motion quantification data with a motion quantification system. The motion quantification data are analyzed to determine whether the object was mobile or immobile. If the object was immobile, an object motion threshold for the motion detection system is determined by statistical analysis of the motion detection data.

Abstract: A method detects phase-encoding ghosting in a MR image of an object to be imaged and mitigates the corresponding artifact in the MR image. The method includes acquiring MRI raw data of the object by a MRI apparatus. The MRI apparatus has multiple receiver channels for acquiring the MRI raw data. An artifact map of at least one part of the object to be imaged is calculated from the MRI raw data, the artifact map is configured for highlighting artifact appearing in the MR image. An outlier mask representing detected phase-encoding artifact is created in the artifact map. The phase-encode ghosting in the MR image is mitigated by using the previously obtained artifact map and the outlier mask for obtaining an improved MR image.

Abstract: A method improves a detection of a brain tissue pathology in magnetic resonance (MR) images of a patient. The method includes acquiring multiple MR imaging data for creating four different contrast maps of a patient brain. From the multiple MR imaging data, performing an estimation of gray matter (GM), white matter (WM) and cerebrospinal fluid (CSF) concentration for each voxel of a part of the patient brain. From the multiple MR imaging data, segmenting the part of the patient brain in different regions-of-interest (ROIs) according to a chosen atlas. For each voxel of each of the contrast maps of the patient brain, computing, for the part of the patient brain, a deviation score. The method further includes creating from the deviation score and for each of the quantitative contrast maps, a deviation map representing the part of the brain in dependence on the deviation score calculated for each voxel.

Abstract: A method of visualizing spinal nerves includes receiving a 3D image volume depicting a spinal cord and a plurality of spinal nerves. For each spinal nerve, a 2D spinal nerve image is generated by defining a surface within the 3D volume comprising the spinal nerve. The surface is curved such that it passes through the spinal cord while encompassing the spinal nerve. Then, the 2D spinal nerve images are generated based on voxels on the surface included in the 3D volume. A visualization of the 2D spinal images is presented in a graphical user interface that allows each 2D spinal image to be viewed simultaneously.

Abstract: A method and a magnetic resonance imaging apparatus provide subject/object motion detection and correction during a MRI scan. The method includes generating via a magnetic resonance scanner a magnetic field gradient and a radio-frequency signal for the MRI scan. The radio-frequency signal contains a successive repetition of pulse sequences, each pulse sequence starting with a radio-frequency excitation pulse. A time between two successive radio-frequency excitation pulses are defined as a repetition time. Detecting, from a readout signal emitted in response to the pulse sequence, time-points in which motion has occurred. Interleaves are automatically created. A sampling of the k-space is performed by arranging k-space MRI readout signals acquired over each repetition time of the pulse sequence into several groups of interleaves of uniform k-space sampling reconstructing separately each subset of interleaves for obtaining low resolution MR images.

Abstract: A method for improving image homogeneity of image data acquired from balanced Steady-State Free Precision (bSSFP) sequences in magnetic resonance imaging. Multiple bSSFP sequences are performed with different radio frequency phase increments to create multiple bSSFP image volumes with different phase offsets ?. Each image has voxels whose intensity M is a function of a nuclear resonance signal (or magnetization) measured by the MR imaging apparatus. Per-voxel fitting of a mathematical signal model onto the measured magnetization of the field of view in function of the phase offsets ?. Then the spin density M0, the relaxation time ratio ? and the local phase offset ?? are determined from the fit for each voxel. A homogeneous image of the object is generated by calculating the signal intensity in each voxel, using the spin density M0 and the relaxation time ratio ?, wherein ?? is chosen such that ????=0°.

Abstract: In a method and magnetic resonance (MR) apparatus for determination of movement of an examination subject during the acquisition of (MR) measurement data using at least two antenna elements that exhibit respectively different spatial positions, after each radiated excitation pulse a navigator signal is acquired in the measurement data and movement of the examination subject between two excitation pulses during the acquisition of the measurement data is determined from a change of the signal strength of the navigator signal in the at least two antenna elements and based on the respective spatial positions of the antenna elements.

Abstract: A method detects phase-encoding ghosting in a MR image of an object to be imaged and mitigates the corresponding artifact in the MR image. The method includes acquiring MRI raw data of the object by a MRI apparatus. The MRI apparatus has multiple receiver channels for acquiring the MRI raw data. An artifact map of at least one part of the object to be imaged is calculated from the MRI raw data, the artifact map is configured for highlighting artifact appearing in the MR image. An outlier mask representing detected phase-encoding artifact is created in the artifact map. The phase-encode ghosting in the MR image is mitigated by using the previously obtained artifact map and the outlier mask for obtaining an improved MR image.

Abstract: A method and an apparatus are disclosed for analyzing pathological changes to anatomic areas in examination objects. In such cases, the method includes the segmentation of 3D data of the anatomic area, its standardization, comparison with a reference model and assignment of a deviation value and intensity value from an intensity scale to the anatomic area. The intensity value of the diagrammatic display of the standardized anatomic area allows the person skilled in the art to determine pathological changes to the anatomic area in a quick and cost-effective manner.