Abstract:
A method is disclosed for correcting a distortion in a magnetic resonance recording. A distortion indicates a mismatch between a distorted position of an image point in the magnetic resonance recording and an actual position of the image point. According to at least one embodiment of the method, a B0 field deviation and a gradient field deviation are determined for at least one actual position in the magnetic resonance facility. Furthermore, a magnetic resonance recording of an examination object is captured and the actual position of an image point of the magnetic resonance recording is determined as a function of the distorted position of the image point in the magnetic resonance recording, the B0 field deviation at the actual position and the gradient field deviation at the actual position.
Abstract:
In the method according to at least one embodiment of the invention, a first segmentation of a structure in an image data record is firstly carried out, and a first final segmentation result is obtained therefrom. A region in the image data record is selected based on the first final segmentation result obtained. A first band is placed at a first, outwardly pointing distance from the selected region. This first band characterizes a background region. A second band is placed at a second, inwardly pointing distance from the projected first final segmentation result of the first segmentation. This second band characterizes a structure region. A further segmentation is carried out based on the characterized background region and the characterized structure region, and the final segmentation result of the further segmentation is saved and/or displayed. Furthermore, an image processing unit for carrying out the method is disclosed.
Abstract:
Dixon methods in magnetic resonance imaging generate MRI images that may contain at least two tissue components such as fat and water. Dixon methods generate images containing both tissue components and predominantly one tissue component. A first segmentation of a first tissue component is generated in a T1 weighted image. The segmentation is correlated with at least a first and a second Dixon image. The image with the highest correlation is assigned the first tissue component.
Abstract:
Dixon methods in magnetic resonance imaging generate MRI images that may contain at least two tissue components such as fat and water. Dixon methods generate images containing both tissue components and predominantly one tissue component. A first segmentation of a first tissue component is generated in a T1 weighted image. The segmentation is correlated with at least a first and a second Dixon image. The image with the highest correlation is assigned the first tissue component.
Abstract:
A method is disclosed for calculating a spatially resolved value of an absorption parameter for a positron emission tomography (PET) scan of an examination object via magnetic resonance tomography (MRT). Magnetic resonance data is acquired within a first region lying within a field of view of a magnetic resonance system and within a second region bordering on the first and lying at the edge of the field of view. The method includes the spatially resolved calculation of a first value of the absorption parameter from the first MR data within the first region and of a second value from the second MR data within the second region. A three-dimensional parameter map is obtained from the first value. This parameter map is extended by the second value such that within the first region and the second region the parameter map has the value of the absorption parameter in spatially resolved form.
Abstract:
A method of attenuation correction for a positron emission tomography (PET) system includes obtaining PET scan data representative of a volume scanned by the PET system, obtaining a plurality of magnetic resonance (MR) scan data sets representative of the volume, each MR scan data set being acquired in a respective time period during acquisition of the PET scan data by the PET system, detecting motion of the volume that occurred during the acquisition of the PET scan data based on an assessment of the plurality of MR scan data sets, the PET scan data, or the plurality of MR scan data sets and the PET scan data, determining attenuation correction data from the plurality of MR scan data sets based on the detected motion for alignment of the attenuation correction data and the PET scan data, and correcting the PET scan data with the attenuation correction data.
Abstract:
A method is disclosed for determining radiation attenuation as a result of an object in a positron emission tomography scanner. In at least one embodiment, a phantom object is arranged in the positron emission tomography scanner during the method. First raw radiation data of the phantom object is acquired while the object is not arranged in the positron emission tomography scanner. A first image of the phantom object is calculated from the first raw radiation data. The object then is arranged in the positron emission tomography scanner (2) and preliminary radiation attenuation of the object is identified. Second raw radiation data of the phantom object is acquired while the object is arranged in the positron emission tomography scanner. A second image of the phantom object is calculated from the second raw radiation data taking into account the preliminary radiation attenuation. The radiation attenuation is determined on the basis of the first image and the second image.
Abstract:
MR image data relating to a volume section of an examination object is determined. Image data relating to this volume section is also captured by way of a true-to-original tomographic method. The MR image data is compared with the image data. Depending on the results of this comparison, either the MR image data is corrected such that the MR image data matches the image data as closely as possible, or parameters that are used during the capture of the MR image data are modified such that, when the MR image data of the predefined volume section is captured again using the modified parameters, the newly captured MR image data matches the image data as closely as possible.
Abstract:
A method is disclosed for imaging a portion of an examination object in a magnetic resonance scanner. The portion is arranged at the edge of a field of view of the magnetic resonance scanner. During at least one embodiment of the method, a gradient field is produced such that a nonlinearity in the gradient field and a B0-field inhomogeneity cancel at a predetermined point at the edge of the field of view. Magnetic resonance data, which contains the predetermined point at the edge of the field of view, is acquired with the aid of the gradient field. An image of the portion of the examination object at the predetermined point is determined from the magnetic resonance data.
Abstract:
An embodiment of the invention relates to the generation of MR images of a volume section within an examination object by way of a magnetic resonance scanner. In at least one embodiment, the following steps are performed: generating at least one of the MR images; automatically performing a number of quality inspections on the at least one MR image; and, should one of these quality inspections fail, an action is automatically performed in order to improve a quality when generating more of the MR images.