Abstract:
A contouring module (22, 24) iteratively adjusts contours delineating a radiation target region and risk regions in a planning image. An intensity modulation optimization module (30) generates a radiation therapy plan conforming with dosage or dosage constraints (26) for the radiation target region and the risk regions delineated by the contours. A differential analysis module (40) is configured to invoke the intensity modulation optimization module (30) to estimate partial derivatives of an output of the intensity modulation optimization respective to the contours. The contouring module (22, 24) is configured to invoke the differential analysis module (40) after each iterative contour adjustment to estimate the partial derivatives respective to the contour segments and to render the contour segments on a display of the planning image with the contour segments coded based on the estimated partial derivatives to indicate impact of the contour segments on the intensity modulation optimization.
Abstract:
In a diagnostic imaging system (10), a user interface (82) facilitates viewing of 4D kinematic data sets. A set of reference points is selected in a first 3D image to designate an anatomical component. An algorithm (104) calculates a propagation of the selected reference points from the first 3D image into other 3D images. Transforms which describe the propagation of the reference points between 3D images are defined. An aligning algorithm (112) applies inverse of the transforms to the 3D images to define a series of frames for the video processor (120) to display, in which frames the designated anatomical component defined by the reference points in each of the 3D images remains fixed while the other portions of the anatomical region of interest move relative to the fixed designated anatomical component.
Abstract:
Image registration very often used to be a tedious task which had to be performed manually. According to an exemplary embodiment of the present invention, a non-rigid image registration by an iterative refinement process based on a combination of landmarks with similarity values is proposed. Advantageously, a very fast and robust method maybe provided.
Abstract:
A magnetic resonance imaging method includes acquiring a first image (16, 20, 20') of a subject, electronically identifying information related to a suspected pathology based on the first image, electronically planning a magnetic resonance imaging session (40) relating to the suspected pathology based on the identified information relating to the suspected pathology, and executing a selected one of the magnetic resonance imaging sessions to acquire one or more magnetic resonance images of the subject probative of the suspected pathology. A suitable magnetic resonance imaging system may include a magnetic resonance scanner (10), a models database (34, 36) including pathology models (36) including information pertaining to pathologies derived from previously acquired magnetic resonance images of subjects having said pathologies, and a session planner (30) configured to construct a pathology- specific and subject- specific magnetic resonance imaging session plan (40) based on a magnetic resonance scout image (16) and the pathology models (36).
Abstract:
The invention relates to an imaging system for imaging an object, wherein the imaging system is adapted for scanning the object in accordance with a scan parameter. The imaging system comprises a projection image generation unit (15) for generating a two-dimensional projection image of the object. A model provision unit (16) provides a three-dimensional model of the object, and a registration unit (17) registers the three-dimensional model with the two-dimensional project ion image. A scan parameter determination unit (18) determines the scan parameter from the registered three-dimensional model.
Abstract:
The invention relates to an imaging system for imaging an object, wherein the imaging system is adapted for scanning the object in accordance with a scan parameter. The imaging system comprises a projection image generation unit (15) for generating a two-dimensional projection image of the object. A model provision unit (16) provides a three-dimensional model of the object, and a registration unit (17) registers the three-dimensional model with the two-dimensional project ion image. A scan parameter determination unit (18) determines the scan parameter from the registered three-dimensional model.
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 for volumetric registration of a floating image with a reference image. At step 2' a floating image and a reference image are accessed. At step 4 and at step 6 a transformation function T and a similarity function (S) are accessed. The method according to the invention uses a-priori knowledge, notably a restricted parameter set, which is accessed at step 3. Preferably, the restricted parameter set is obtained by performing a suitable volumetric registration of a set of training images. The training set preferably comprises a sequence of floating images and reference images for each clinical application. Likewise, the training set may be composed of images of a patient group representing a certain group of disease, age, gender, race, etc. The invention further relates to a system and a computer program for enabling volumetric registration.
Abstract:
The method according to the invention is arranged to segment a surface in a multi-dimensional dataset comprising a plurality of images, which may be acquired using a suitable data-acquisition unit at a preparatory step 2. It is possible that data processing and data acquisition steps are temporally or geographically distanced, so that at step 4 the results of a suitable data segmentation step 6 are accessed, whereby said results comprise portions of the image which are subsequently used to segment the surface using the method of the invention. Next, at step 8 a suitable plurality of image features resembling possible spatial positions of the surface conceived to be segmented are selected and accessed. The features are subsequently matched for all image portions at step 10, whereby for each feature a matching error is assigned. At step 14 a pre-defined selectivity factor is accessed defining a maximum allowable variable fraction of the features having largest matching errors which can be discarded. The segmentation of the sought surface is performed at step 16, whereby the discarded features are not taken into account for evaluating the quality of fit of a candidate deformation of the. The resulting surface is being displayed on a suitable display means at step 18, whereby it is preferably overlaid on original, notably diagnostic data for user's analysis. In case when the user is satisfied with the result of the segmentation, the segmented surface is stored at step 18. Otherwise, the process is returned to step 14, where a further selectivity factor is accessed. It is possible that the further selectivity iactor is altered at step 11 by a user's input, or, alternatively it may be provided by a certain alteration algorithm 13. The invention further relates to a system, a computer program, a workstation, a viewing station, a computer program and a user interface.
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.