Abstract:
A function generator (MFG) formulates a query to a mapping database (DBM) based on a received planning geometry type (PGT) and receives corresponding function data (MFD) which is processed to create a function (MF). An evaluator (ELV) receives the function (MF) and an anatomical landmark set (LMS) and determines a computed planning geometry (CPG). A user interface (UI) displays a survey image (IMG), the landmark set (LMS), and the computer planning geometry (CPG) and allows the user to adjust the landmark set and/or the computer program geometry. A record generator (RG) creates a new record from the user adjusted landmarks (ULMS) and the user adjusted computer planning geometries (UPG) and loads the new records (NR) into the mapping database (DBM).
Abstract:
The invention relates to a method for the computer-aided reconstruction of a three-dimensional anatomical object ( 3 ) from diagnostic image data. First of all, a diagnostic image data set of the object ( 3 ) is acquired. Then a seed point ( 5 ) is set, starting from which the object is reconstructed within a reconstruction volume ( 4 ). Thereafter, an adjacent point of the reconstruction volume ( 4 ) likewise belonging to the object ( 3 ) is located in accordance with a propagation criterion, which is calculated by means of a mathematical analysis of local areas ( 6, 7 ), assigned to the point concerned, of the image data set Reconstruction of the three-dimensional structure of the object ( 3 ) is then performed within the reconstruction volume ( 4 ) by multiple repetition of this method step and propagation along the located adjacent points. To apply such a reconstruction method to image data obtained by means of rotational X-ray imaging, wherein a plurality of two-dimensional projection images ( 1, 2 ) are recorded from different projection directions, the invention proposes that the propagation criterion be calculated by subjecting the local image areas ( 6, 7 ) of the two-dimensional projection images ( 1, 2 ) in each case individually to the mathematical analysis.
Abstract:
The invention relates to a method for the computer-aided reconstruction of a three-dimensional anatomical object ( 3 ) from diagnostic image data. First of all, a diagnostic image data set of the object ( 3 ) is acquired. Then a seed point ( 5 ) is set, starting from which the object is reconstructed within a reconstruction volume ( 4 ). Thereafter, an adjacent point of the reconstruction volume ( 4 ) likewise belonging to the object ( 3 ) is located in accordance with a propagation criterion, which is calculated by means of a mathematical analysis of local areas ( 6, 7 ), assigned to the point concerned, of the image data set Reconstruction of the three-dimensional structure of the object ( 3 ) is then performed within the reconstruction volume ( 4 ) by multiple repetition of this method step and propagation along the located adjacent points. To apply such a reconstruction method to image data obtained by means of rotational X-ray imaging, wherein a plurality of two-dimensional projection images ( 1, 2 ) are recorded from different projection directions, the invention proposes that the propagation criterion be calculated by subjecting the local image areas ( 6, 7 ) of the two-dimensional projection images ( 1, 2 ) in each case individually to the mathematical analysis.
Abstract:
A therapy planner (16) is configured to construct a therapy plan based on a planning image segmented into segments delineating features of a subject. A predictive plan adaptation module (20) is configured to adjust the segments to represent a foreseeable change in the subject and to invoke the therapy planner to construct a therapy plan corresponding to the foreseeable change. A data storage (18) stores a plurality of therapy plans generated for a subject by the therapy planner and the predictive plan adaptation module based on at least one planning image of the subject. A therapy plan selector (30) is configured to select one of the plurality of therapy plans for use in a therapy session based on a preparatory image acquired preparatory to the therapy session.
Abstract:
The invention relates to a method for data processing. At stage 3 the position of the reference object in the reference image and its relation to a set of reference landmarks in the reference image is established at step 6. In order to enable this, the reference imaging of learning examples may be performed at step 2 and each reference image may be analyzed at step 4, the results may be stored in a suitably arranged database. In order to process the image under consideration, the image is accessed at step 11, the suitable landmark corresponding to the reference landmark in the reference image is identified at step 13 and the spatial relationship established at step 6 is applied to the landmark thereby providing the initial position of the object in the actual image. In case when for the object an imaging volume is selected, the method 1 according to the invention follows to step 7, whereby the scanning 17 is performed within the boundaries given by the thus established scanning volume. In case when for the object a model representative of the target is selected, the method 1 follows to the image segmentation step 19, whereby a suitable segmentation is performed. In case when for the model a deformable model is selected, the segmentation is performed by deforming the model thereby providing spatial boundaries of the target area. The invention further relates to an apparatus and a computer program for image processing.
Abstract:
The invention relates to a method 1 of image segmentation where in step 2 a prior model representative of a structure conceived to be segmented in an image is accessed. Preferably, the image comprises a medical diagnostic image. Still preferably, the medical diagnostic image is prepared in a DICOM format, whereby supplementary information is stored besides diagnostic data. In these cases the method 1 according to the invention advantageously proceeds to step 3, where the supplementary information is extracted from electronic file 5, comprising for example suitable patient-related information 5a and/or suitable structure-related information 5b. Examples of the patient-related information comprise a patient's age, sex, group, etc., whereas examples of the structure-related information may comprise an anatomic location of the structure, such as rectum, bladder, lung etc, or the suspected / diagnosed pathology of the patient. In an alternative embodiment of the method 1 according to the invention, the supplementary information is provided by a human operator in step 7, where he can enter suitable supplementary information 9a, 9b using a user interface 9. When the supplementary information is loaded, the method 1 according to the invention proceeds to step 4 in which the prior model is being changed using the supplementary information yielding a further model. In step 6 the method 1 performs the image segmentation using the thus obtained further model and in step 8 the results of the segmentation step may be visualized on a suitable viewer.
Abstract:
The invention relates to a method, an apparatus and a computer program for transferring scan geometry between a first region and a second region, similar to the first region. In the method according to the invention the first region and the second region are being identified (4), preferably in the overview image, followed by determination (6) of the first scan geometry corresponding to the first region. Then, the first scan geometry is being transferred into the second scan geometry corresponding to the second region, whereby information on geometrical correspondence between the first region and the second region is used. Preferably, the step of transferring comprises establishing corresponding mappings between similar regions and their respective scan geometries.
Abstract:
The invention relates to a system (100) arranged to delineate the acute intracerebral haematoma in non-contrasted CT images in two stages. The first stage, performed by the extraction unit (110), employs an analysis of gray values of the image data in order to extract the candidate region. The candidate region may comprise both an acute haematoma and other regions having similar gray values, e.g., regions resulting from partial volume effects at the interface of the bony structures of the skull and the brain. The novel second stage, performed by the classification unit (120), analyzes spatial features of the candidate region such as, for example, the size, shape, and connectedness to the skull bone of the candidate region. Using spatial features of the candidate region improves the correctness of classification of the candidate region as a true or false acute haematoma.
Abstract:
The invention relates to a data processing apparatus and a method for providing visualisation parameters controlling the display of a medical image (12). The data processing apparatus comprises a mapping component (16). The mapping component (16) is arranged to receive a current dataset (15) corresponding to the medical image and comprising a content description thereof,to compare the content description of the current dataset (15) witha content description ofa pluralityofstored datasets, to select at least one further dataset out of the plurality of stored datasets, to retrieve stored visualisation parameters corresponding to the at least one further dataset, and to prepare the retrieved visualisation parameters as the visualisation parameters controlling the display of the medical image (12).