Abstract:
A method is disclosed for correction of truncations of an image of an object under examination in the reconstruction of image data from raw data which has been recorded with a magnetic resonance system from a field of view of the magnetic resonance system, with an object under examination which is located in the field of view of the magnetic resonance system being imaged in the raw data, and with the image recorded by the raw data of the object under examination being truncated at the edge of the field of view if at least one part of the object under examination is located outside the field of view. In at least one embodiment, the method includes determining a number of one-dimensional projections of the imaged field of view in the Radon space from the recorded raw data in order to obtain a projection profile of the image object under examination over the field of view in each case; checking each projection profile for whether the projection profile exhibits a truncation which is caused by the at least one part of the object under examination being located outside the field of view; if the respective checked projection profile exhibits a truncation, expanding the projection profile for correcting the truncation in that the projection profile is extrapolated in accordance with a predetermined extrapolation model in the area in which it exhibits the truncation; and reconstructing image data based on the expanded projection profiles in which the truncation of the image of the object under examination is corrected.
Abstract:
In a method and magnetic resonance (MR) apparatus to image a partial region of an examination subject by means of a multislice measurement, which partial region includes at least two measurement slices, and is located at least in part at the edge of a field of view of the magnetic resonance apparatus, for each voxel to be optimized that is located at the edge of the field of view, a gradient field is configured for each measurement slice of the partial region that is to be measured and is used to acquire magnetic resonance data in the multislice measurement. The gradient field is configured so as to cause a nonlinearity of the gradient field and a B0 field inhomogeneity to cancel at each of the aforementioned voxel to be optimized at the partial region at the edge of the field of view. An image of the partial region of the examination subject is determined from the magnetic resonance data acquired in this manner.
Abstract:
In an embodiment, an initial segmentation of an examination object is fixed, wherein an attenuation coefficient is assigned to each segment of the segmentation. Raw radiation data about the examination object arranged in the positron emission tomography scanner is acquired, and a correction factor is determined for each pixel with the aid of an optimization method, in which the probability of the acquired raw radiation data is maximized taking into account the segmentation and the attenuation coefficients assigned to the segments. A statistical parameter of the correction factors is determined for each segment and the segmentation is corrected by subdividing a segment as a function of the statistical parameter determined for the segment. A segment correction factor is determined for each segment from the correction factors assigned to the segment and the attenuation coefficients assigned to the segments are corrected as a function of the segment correction factors.
Abstract:
Example embodiments are directed to a method of correcting attenuation in a magnetic resonance (MR) scanner and a positron emission tomography (PET) unit. The method includes acquiring PET sinogram data of an object within a field of view of the PET unit. The method further includes producing an attenuation map based on a maximum likelihood expectation maximization (MLEM) of a parameterized model instance and the PET sinogram data.
Abstract:
In the method according to at least one embodiment of the invention, an image data record having a structure to be segmented is first of all displayed by display equipment. Using an input apparatus, a segmentation algorithm to be used is selected from a group of different segmentation algorithms, including a contour-based segmentation algorithm, a region-based segmentation algorithm and manual segmentation, based on the local image contrast in a region to be segmented in the image data record. A region to be segmented in the image data record is marked, and the structure to be segmented in the marked region is segmented using the selected segmentation algorithm, and a segmentation result of the segmentation is displayed. This procedure (selecting a segmentation algorithm/marking a region/segmenting the region/displaying) is repeated until the structure to be segmented is completely segmented in the displayed image data record and a boundary line of the structure is produced as the final segmentation result. Lastly, the final segmentation result is saved and/or displayed. Furthermore, an image processing unit is disclosed for carrying out the method of at least one embodiment.
Abstract:
In a method to control the acquisition and/or evaluation procedure of image data in medical examinations, in a previously acquired planning image data set entirely or partially covering a target volume, spatial information of the target volume is determined automatically using a statistical model of the target volume based on data about real anatomy. The acquisition and/or evaluation operation is controlled using the spatial information. A statistical model of at least one greyscale value distribution in the region of the surface of the target volume is used to calculate the location information.
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:
A method is disclosed for determining a location of a subarea of an area under examination in a magnetic resonance system. The subarea is arranged at the edge of a field-of-view of the magnetic resonance system. In at least one embodiment of the method, at least one slice position is determined for an MR image in which the B0 field at the edge of the MR image satisfies a homogeneity value. For the slice position determined an MR image is acquired which contains the subarea at the edge of the field-of-view and the location of the subarea of the object under examination is determined through the location of the subarea in the MR image.
Abstract:
Example embodiments are directed to a method of correcting attenuation in a magnetic resonance (MR) scanner and a positron emission tomography (PET) unit. The method includes acquiring PET sinogram data of an object within a field of view of the PET unit. The method further includes producing an attenuation map based on a maximum likelihood expectation maximization (MLEM) of a parameterized model instance and the PET sinogram data.
Abstract:
In a medical image acquisition device, and a method for operating such a device, before acquiring a current planning image data set from a subject, a statistical atlas is generated that is a statistical compilation concerning at least one part of the human body, the statistical compilation including an average image data set electronically associated, in the statistical atlas, with association information that identifies anatomy of the human body represented by the statistical compilation. The statistical atlas is compiled from multiple planning image data sets acquired using a specific measurement protocol. After the current planning image data set is acquired, the stored average image data set is transformed into the current planning image data set, so that the association information associated with the average image data set are accurately also associated with the current planning image data set. A diagnostic image acquisition of the subject is then controlled using the association information that is now associated with the current planning image data set.