Abstract:
A digital processing device (14, 14') has first and second independent communication links with a local medical information system (10) and an Internet-based electronic health record (EHR) account (12) of an individual, respectively. The digital processing device presents a first window (W1) indicating content pertaining to the individual stored at the local medical information system and a second window (W2) indicating content stored at the EHR account. A selection (D1, D2, S4, S14) of content to transfer from the EHR account of the individual to the local medical information system or vice versa is received. The selected content is transferred via one of the first or second communication link to an isolation container (50) at the digital processing device, and is transferred via the other of the first or second communication link from the isolation container to the destination local medical information system or EHR account..
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:
A diagnostic imaging system includes a magnetic resonance imaging scanner (10) for imaging an organ of interest, a reformatting processor (70) for constructing reformatted images corresponding to a scout image in different coordinate systems, and a graphical user interface (62) for displaying acquired images and reformatted images to an associated user. An imaging processor (60) causes the scanner (10) to acquire a base sparse scout image of an organ of interest in a standard coordinate system, causes the reformatting processor (70) to generate one or more reformatted images from the sparse scout image in coordinate systems other than the standard coordinate system, determines a diagnostic imaging coordinate system aligned with the organ of interest using the base sparse scout image and the one or more reformatted images, and causes the scanner (10) to acquire one or more diagnostic images of the organ of interest in the diagnostic imaging coordinate system.
Abstract:
The method (1) according to the invention may be schematically divided into three major phases. Phase (2) comprises preparatory steps, namely the step (3) of acquiring a suitable dataset, which is then subjected to a suitable binary segmentation at step (4) results of which are being accessed at step (5). The results comprise temporally sequenced binary coded images, whereby image portions corresponding to blood are labeled as unity, the rest is set to zero. The subsequent phase (12) of the method according to the invention is directed to performing the image processing for segmenting a structure. At step (8) a computation is performed whereby a preceding binary coded image (8a) corresponding to a phase from the temporal sequence is subtracted from a subsequent binary coded image 8b corresponding to a phase yielding a multi-dimensional temporal feature map (8c). At step (9) spatial positions corresponding to a certain voxel value are derived and are used to segment the structure. A pre-defined deformable shape model is accessed at step (11), which is then deformed at step (14) in accordance with spatial coordinates, derived at step (9). Preferably, the segmentation result is stored at step (16). Finally, during a further phase (22) of the method according to the invention, the segmentation results are displayed at step (18) using suitable display means. Preferably, the segmented surface is overlaid on the original data using a two, three or four-dimensional visualization technique. Still preferable, to ease comprehension of the result, the segmented surface is presented as a color-code in a suitable transparency mode. The invention further relates to an apparatus and a computer program for segmenting a structure in a dataset.
Abstract:
A diagnostic imaging system includes a magnetic resonance imaging scanner (10) for imaging an organ of interest, a reformatting processor (70) for constructing reformatted images corresponding to a scout image in different coordinate systems, and a graphical user interface (62) for displaying acquired images and reformatted images to an associated user. An imaging processor (60) causes the scanner (10) to acquire a base sparse scout image of an organ of interest in a standard coordinate system, causes the reformatting processor (70) to generate one or more reformatted images from the sparse scout image in coordinate systems other than the standard coordinate system, determines a diagnostic imaging coordinate system aligned with the organ of interest using the base sparse scout image and the one or more reformatted images, and causes the scanner (10) to acquire one or more diagnostic images of the organ of interest in the diagnostic imaging coordinate system.
Abstract:
Cache controller (120) for use in a system (180) comprising an image client (100) and an image server (140), the image client enabling a user to navigate through image data having at least three spatial dimensions by displaying views of the image data that are obtained from the image server in dependence on navigation requests of the user, and the cache controller comprising a processor (122) configured for obtaining content data indicative of a content shown in a current view of the image client (100), the current view representing a first viewpoint in the three spatial dimensions of the image data, the processor being further configured for predicting a view request of the image client in dependence on the content data, the view request corresponding to a view representing a second viewpoint in the three spatial dimensions of the image data, and a communication means (124) for obtaining the view from the image server in dependence on the view request, and for caching the view in a cache (130).
Abstract:
A system (100) for displaying a multi-dimensional image and an annotation located therein, the system comprising receiving means (110) for receiving: the multi- dimensional image, the annotation, and representation data associated with the annotation, the representation data being indicative of a preferred representation of the multi-dimensional image and the annotation located therein; display means (130) for displaying an initial representation (300) of the multi-dimensional image and the annotation located therein; input means (120) for enabling a user to provide a visualization request when the initial representation shows at least a first part (310) of the annotation; and the display means (130) being arranged for, after receiving the visualization request, displaying the preferred representation (400) of the multi-dimensional image and the annotation located therein in accordance with the representation data, the preferred representation showing at least a second part (410) of the annotation, the second part being different from the first part.
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 method 1 according to the invention may be schematically divided into three major phases. Phase 2 comprises preparatory steps, namely the step 3 of acquiring a suitable dataset, which is then subjected to a suitable binary segmentation at step 4 results of which are being accessed at step 5. The results comprise temporally sequenced binary coded images, whereby image portions corresponding to blood are labeled as unity, the rest is set to zero. The subsequent phase 12 of the method according to the invention is directed to performing the image processing for segmenting a structure. At step 8 a computation is performed whereby a preceding binary coded image 8a corresponding to a phase from the temporal sequence is subtracted from a subsequent binary coded image 8b corresponding to a phase yielding a multi-dimensional temporal feature map 8c. At step 9 spatial positions corresponding to a certain voxel value are derived and are used to segment the structure. A pre-defined deformable shape model is accessed at step 11, which is then deformed at step 14 in accordance with spatial coordinates, derived at step 9. Preferably, the segmentation result is stored at step 16. Finally, during a further phase 22 of the method according to the invention, the segmentation results are displayed at step 18 using suitable display means. Preferably, the segmented surface is overlaid on the original data using a two- , three- or four-dimensional visualization technique. Still preferable, to ease comprehension of the result, the segmented surface is presented as a color-code in a suitable transparency mode. The invention further relates to an apparatus and a computer program for segmenting a structure in a dataset.