Abstract:
A system (500) for visualizing a vascular structure represented by a three- dimensional angiography dataset is disclosed. Respective voxel values are associated with respective voxels. The dataset represents a vascular structure. The system comprises means (502) for establishing respective filling values; means (504) for identifying respective minimum filling values; means (506) for computing respective deficiency values; and an output (514) for providing a visualization in dependence on the deficiency values. A respective filling value is indicative of an amount of blood flow at the respective position in the vascular structure. A respective minimum filling value is a minimum of the filling values associated with the positions upstream of the respective position. A respective deficiency value is indicative of a difference between the filling value associated with the respective position and the minimum filling value associated with the respective position.
Abstract:
A device (104) for processing image data of a movable object (101), the device (104) comprising a processor adapted to carry out the method steps of receiving (410) an image data set reflecting a two-dimensional image according to a particular twodimensional projection of the movable object (101) at a particular point of time, determining (420) an initial model for the two-dimensional image, wherein the initial model is determined based on predetermined structural information about the movable object (101) and based on predetermined motion characteristics of the movable object (101), and modifying (430) the determined initial model to obtain a final model for the two-dimensional image.
Abstract:
Coronary artery segmentation is a crucial task in cardiac CT image processing. This is often a tedious task performed manually by an operator. According to the present invention, a method is provided which combines data from multiple cardiac phases during the segmentation process in order to deliver a complete and continuous coronary vessel tree. Advantageously, this may allow for an improved visualization and segmentation of vessels, for example, in coronary CTA.
Abstract:
A system for generating a reconstruction of an object of interest comprises a shape model generator (1) for generating a shape model representing a shape of the object in dependence on a plurality of projections of the object, and a reconstructor (2) for reconstructing the object, based on the projections, in dependence on the shape model to obtain the reconstruction of the object. The reconstructor (2) comprises a soft-tissue reconstructor (4) for generating a reconstruction favoring soft tissue, based on the plurality of projections, and a sparse reconstructor (5) for generating a reconstruction of sparse objects, based on the plurality of projections. The reconstructor (2) comprises a clipping subsystem (3) for clipping an outside of the object from the reconstruction, based on the shape model, or the reconstructor (2) is arranged for reconstructing only an inside and/or boundary of the object as defined by the shape model.
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:
A computer program to identify a single seed point in an image is presented in which a manually positionable region of interest is presented to the user in the image and a single seed point is selected according to pre-defined criteria from the pixels delineated by the region of interest. Such seed points are used to initialise, for example, segmentation algorithms. The invention improves accuracy of seed point selection and also increases reproducibility. In an advantageous embodiment the region of interest is also sizable and a workstation and computer mouse with rotatable control device are provided, where the rotatable control device is used to control the size of the region of interest.
Abstract:
Usually orthogonal slices of a three-dimensional image set of a tracheobronchial tree (40) of a body do not show the tracheobronchial plane. Thus, the plane has to be adjusted manually by the user by trial and error, which is a tedious and time consuming process. The concept of the invention suggests a method of automated extraction and display of at least one oblique slice (49) of the tracheobronchial plane from a three- dimensional image set of a body. The method is fully automated without any user interaction. According to the invention the method comprises the step of: automatically identifying set of image points being part of a tracheobronchial tree (40); automatically identifying at least one oblique slice (49) as a fit to the image points; automatically performing a reformation step on the three-dimensional image set to extract the oblique slice (49); and automatically displaying (Fig. 6, 7) the oblique slice (49) of the tracheobronchial plane. The concept also provides a respective system (1), image acquisition device, workstation and computer program product and information carrier.
Abstract:
An imaging method for identifying abnormal tissue in the lung is provided, comprising the recording of slice images of the lung by means of X-ray radiation, recording of blood vessels, differentiation of blood vessels and abnormal tissue, segmentation of the abnormal tissue and display of the segmented abnormal tissue on an output device. In addition, a computer tomograph for identifying abnormal tissue in the lung is provided, having a radiation source for recording slice images of the lung and blood vessels by means of X-ray radiation, a computer unit for differentiating the blood vessels from the abnormal tissue and for segmenting the abnormal tissue, as well as an output device for displaying the segmented abnormal tissue. Furthermore, a computer program is provided for controlling a computer tomograph for an identification of abnormal tissue in the lung by means of a radiation source, designed to record slice images of the lung and blood vessels by means of X-ray radiation, to differentiate the blood vessels from abnormal tissue, to segment the abnormal tissue and to control an output device for displaying the abnormal tissue.
Abstract:
For differential diagnosis of pulmonary nodules, a certain fraction of malignant nodules do not exhibit significant enhancement when averaged over the whole nodule volume. According to an exemplary embodiment of the present invention, not only a single averaged contrast enhancement number is determined, but an enhancement curve for each nodule, showing the enhancement as a function of distance to boundary of the nodule. This may provide for an improved differential diagnosis.