Abstract:
A method for creating a model of a part of the anatomy from the scan data of several subjects is described. The method comprises the steps of collecting scan data; applying a feature detector to the scan data; converted the output of the feature detector into a common reference system; and accumulating the converted data to generate the model. It is therefore possible for the method to generate a model from the scan data of several subjects automatically. The method may also include an optional step of receiving user input to select which of the accumulated data should be included in the final model. This user input requires much less effort than manual contouring and is substantially independent of the number of subjects used to create the model.
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.
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:
Image server 110 for transmitting, to an image client 150, a plurality of two- dimensional [2D] views 122 of three-or higher dimensional [3D] image data for enabling a user operating the image client to navigate through the 3D image data by viewing different ones of the plurality of 2D views, the image server comprising an input 120 for obtaining the plurality of 2D views, a transmitter 130 for transmitting the plurality of 2D views in a transmission order 142 to the image client, and a processor 140 for (i) analyzing contents of the plurality of 2D views for obtaining a respective plurality of view properties, and (ii) establishing the transmission order in dependence on the plurality of view properties for transmitting the plurality of 2D views,based on a decreasing degree of information content of the 2D views.
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 method 1 according to the invention is preferably practiced in real time and directly after a suitable acquisition 3 of the multi-dimensional dataset, which is accessed at step 5 and the images constituting the multi-dimensional dataset are classified at step 8. Preferably, for reducing an amount of data to be processed at step 6 the image data is subjected to a restrictive region of interest determination. At step 9 the classified cardiac images are subjected to a an image thinning operator so that the resulting images comprise a plurality of connected image components which are further analyzed at step 14. After the thinning step 9 a labeling step 11 is performed, where different connected components in the multi-dimensional dataset are accordingly labeled. This step is preferably followed by a region growing step 13, which is constrained by binary threshold used at step 8b. For each connected image component a factor F is computed at step 14. The anatomic structure is segmented at step 16 by selecting the connected image component with factor F meeting a pre-determined criterion. After this, the segmented anatomic structure is stored in a suitable format at step 18. The invention further relates to an apparatus, a working station, a viewing station and a computer program.
Abstract:
The system (10) comprises an input (2) for accessing the suitable input data. The core of the system (10) is formed by a processor (4) which is arranged to operate the components of the system (10), it being the input (2), a computing unit (5), a working memory (6). The computing unit (5) preferably comprises a suitable number of executable subroutines (5a, 5b, 5c, 5d, 5e, and 5f) to enable a constructing of a geometric model of the movable body based on the results of the segmentation step, finding a spatial correspondence between the first and second image dataset, mapping the texture image dataset on geometric model, fusing the geometric model and the mapped texture image dataset. The apparatus (10) according to the invention further comprises a coder (7) arranged to code the determined region of interest in accordance to a pre-selected criterion. The criterion may be selectable from a list of valid criteria, stored in a file (7a). Preferably, the coder (7), the computing unit (5) and the processor (4) are operable by a computer program (3), preferably stored in memory (8). An output (9) is used for outputting the results of the processing, like fused image data representing the textured, preferably animated geometric model of the movable body. The invention further relates to a method for integration of medical diagnostic information and a geometric model of a movable body and to a computer program.
Abstract:
PROBLEM TO BE SOLVED: To provide a method and apparatus for superposing a series of the images, which are temporally and continuously captured, of an object one upon another, capable of obtaining the optimum superposition result and optimally using the utilizable data in an image to be superposed. SOLUTION: In the method for superposing a series of at least three images (I1-In) temporally and continuously captured of the object, individual images (I2-In) to be superposed one upon another are converted to images (I2'-In') superposed one upon another at this time using individual mapping rules (T2-Tn) and the measure (M) of similarity is used in order to determine the mapping rules (T2-Tn). In order to realize the higher accuracy of superposition, it is proposed that the measure (M) of similarity common to all of the images (I1'-In') is utilized in order to determine the mapping rules (T2-Tn) to all of the images. The corresponding superposition apparatus is also disclosed.
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.