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 system (100) for registering an atlas image from an atlas of multidimensional images with an objective image, the system comprising a generation unit (105) for generating a candidate transformation for transforming a first region of the atlas image, a transformation unit (110) for transforming the first region of the atlas image using the candidate transformation, a similarity unit (120) for computing a measure of similarity of the transformed first region of the atlas image and a corresponding first region of the objective image, an evaluation unit (130) for evaluating the candidate transformation using a criterion based on the computed measure of similarity and determining an optimal transformation based on the evaluation of the candidate transformation, an extension unit (140) for extending the optimal transformation of the first region of the atlas image to a second region of the atlas image, wherein the second region comprises the first region, thereby creating a registration transformation and a registration unit (150) for transforming the second region using the registration transformation, thereby registering the atlas image with the objective image. Advantageously, the system (100) does not require setting landmark positions in the objective image. A further advantage of the system (100) is that since the similarity measure is computed locally, i.e., based on the first region of the atlas image, the registration is fast and thus attractive for clinical use.
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 registration method (100) of registering a second image dataset with a first image dataset on the basis of a set of landmarks, said registration method (100) comprising a weight-assigning step (125) for assigning a weight to each coordinate of each landmark from the set of landmarks and a registering step (145) for registering the second image dataset with the first image dataset on the basis of the weight assigned to the each coordinate. Choosing an appropriate set of landmarks and assigning an appropriate weight to each coordinate of each landmark from the set of landmarks can be used for optimizing selected displacements of a designated anatomical structure comprising elastic bodies and/or a plurality of independent rigid bodies in a sequence of image datasets. This enables rendering a sequence of views wherein the designated anatomical structure is not displaced off a viewing plane and/or a selected part of the designated anatomical structure is not displaced in a viewing plane.
Abstract:
When delineating anatomical structures in a medical image of a patient for radiotherapy planning, a processor (18) detects landmarks (24) in a low-resolution image (e.g., MRI or low-dose CT) and maps the detected landmarks to reference landmarks (28) in a reference contour of the anatomical structure. The mapped landmarks facilitate adjusting the reference contour to fit the anatomical structure. The adjusted reference contour data is transformed and applied to a second image using a thin-plate spline, and the adjusted high-resolution image is used for radiotherapy planning.
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 apparatus (1) comprises an input (2) for receiving a suitable source image data of an object. The core of the apparatus (1) is formed by a control unit (4) which is arranged to load image data from the input (2) and determine a spatial position and orientation of a portion of the object and to automatically calculate actual parameters (4a) of the imaging geometry based on said position and orientation and using default parameters if the imaging geometry, selected by the control unit (4) in accordance with the portion of the object. The apparatus (1) further comprises a storage unit (8) arranged to store at least one set of default parameters of the imaging geometry, which may be representative of an imaging protocol. The working memory (6) typically holds the (parts of) image data being processed and the instructions for the suitable image processing means used for processing those parts of the image data. The apparatus (1) according to the invention comprises a recognition module (7) arranged to determine a spatial position and orientation of the portion of the object with respect to a coordinate system of an imaging apparatus conceived to use the actual parameters of the imaging geometry provided by the apparatus (1). When the position and orientation (7a) of the portion of the object with respect to the coordinate system of the data acquisition module is established, the control unit calculates actual parameters (4) of the imaging geometry based on a suitable matching between the spatial position and orientation (7a) of the portion of the object conceived to be imaged and the default parameters of the imaging geometry (3). Preferably, the apparatus (1) further comprises a suitably arranged user interface (5) for allowing an adjustment of automatically established actual parameters of the imaging geometry by a user. Preferably, the output (9) comprises a result of the automatic planning of the imaging geometry, which may be directly converted into a suitable control signal for the data acquisition module and/or be made available in a suitable form for archiving purposes. The invention further relates to an imaging system, a method and a computer program for automatically generating scan parameters.
Abstract:
The invention relates to an image display apparatus for displaying an image like a three-dimensional medical image of an object. A template providing unit (3) provides a template defining display parameters for displaying the image based on anatomical features of the object, and an anatomical feature detecting unit (4) detects an anatomical feature in the image. A display parameter determining unit (5) determines a display parameter defining, for example, a desired view, based on the detected anatomical feature and the template, and a display unit (8) displays the image by displaying, for example, the desired view, in accordance with the determined display parameter. This allows the image display apparatus to show the image on the display in a desired usual way as defined by the template, even if in the originally provided image the object is shown in an unusual way.
Abstract:
When segmenting a surface mesh diagnostic image, invertible transformations are facilitated by adjusting a Gaussian kernel size on the fly. Kernel size is adjusted as a function of distance traveled by a cursor during user selection of a contour to be adjusted. Additionally, surface mesh resolution is increased by iteratively subdividing mesh triangles (242) in the vicinity of a user-selected contour in a surface mesh (100, 220, 240, 318) until every pixel or voxel contains at least one triangle vertex. A fuzzy line change (FLC) algorithm (332) is then executed to snap the nearest mesh contour to a user- indicated position.