| Patent application number | Description | Published |
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| 20080317342 | Method for segmenting structures in image data records and image processing unit for carrying out the method - 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. | 12-25-2008 |
| 20080317351 | Method for interactively segmenting structures in image data records and image processing unit for carrying out the method - 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. | 12-25-2008 |
| 20090202121 | METHOD FOR CONTROLLING AN IMAGE DATA ACQUISITION AND/OR EVALUATION PROCEDURE IN MEDICAL EXAMINATIONS - 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. | 08-13-2009 |
| 20100002921 | MEDICAL IMAGE ACQUISITION APPARATUS AND OPERATING METHOD THEREFOR - 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. | 01-07-2010 |
| 20110015904 | Model based estimation of a complete or partial positron emission tomography attenuation map using maximum likelihood expectation maximization - 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. | 01-20-2011 |
| 20110080168 | CORRECTION OF TRUNCATIONS IN MR IMAGING - 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. | 04-07-2011 |
