Abstract:
Volume measurement of for example a tumor in a 3D image dataset is an important and often performed task. The problem is to segment the tumor out of this volume in order to measure its dimensions. This problem is complicated by the fact that the tumors are often connected to vessels and other organs. According to the present invention, an automated method and corresponding device and computer software are provided, which analyze a volume of interest around a singled out tumor, and which, by virtue of a 3D distance transform and a region drawing scheme advantageously allow to automatically segment a tumor out of a given volume.
Abstract:
Various picture elements form an X-ray display may be identified and arranged as picture groups. These groups may be marked out on the display by enhanced contrast or false colors. Processing may be carried out with the aid of a logical tree where a first step (A1) may give rise to one of two possible results (B1) or (C11). The first result may give rise to several possible results (C1-10). Some of these may give rise to further results (D1-10).
Abstract:
The invention relates to a method of forming an isolated visualization of body structures from a 3D image data set, which method includes the steps of forming a binary data set in which all image elements contained in the 3D image data set are classified as image elements which are to be visualized in isolated form and image elements which are not to be visualized, where filtering of the image values is performed by means of limit values of the image values and all image elements of the binary data set of image structures contained in the 3D image data set which are smaller than a predetermined size are selected, of forming a filtered data set by entering the image values of the original 3D image data set for the image elements which are characterized as image elements to be visualized in isolated form in the binary data set, and of forming the visualization of the isolated body structure from the filtered data set. The invention also relates to a device for carrying out the described method and also to programming means which carry out the described steps when executed on a computer.
Abstract:
The invention relates to a system (100) for adapting a plurality of model meshes to a plurality of image data, the system comprising a registration unit (110) for registering the plurality of model meshes with the plurality of image data on the basis of a computation of a registration transformation for transforming the plurality of model meshes, and an adaptation unit (120) for adapting the plurality of registered model meshes to the plurality of image data on the basis of a computation of locations of mesh vertices of the plurality of model meshes. The system (100) may further comprise a computing unit (130) for computing sparse vector fields comprising vectors of displacements of vertices of the adapted model meshes, an approximation unit (140) for computing dense vector fields on the basis of the sparse vector fields, a merge unit (150) for merging image data sets by means of the computed dense vector fields, and a reconstruction unit (155) for reconstructing a motion-compensated image data from the computed dense vector fields. The described system (100) is capable of reducing motion artifacts in tomographic images computed from data acquired at a plurality of different cardiac cycle phases.
Abstract:
The invention relates to a system (100) for interactive definition of a region of interest in an image data space, the system (100) comprising a point unit (110) for selecting a plurality of points for defining a boundary of the region of interest on the basis of user inputs and a boundary unit (120) for determining the boundary on the basis of the plurality of points, thereby defining the region of interest, wherein the boundary unit further comprises a domain unit (122) for determining a domain space for a parameterization of the boundary, a projection unit (124) for projecting each point of the plurality of points onto the domain space and an approximation unit (126) for computing a map for mapping the domain space into the image data space, wherein values of the map are points defining the boundary of the region of interest, such that the composition of said projection and said map satisfies a condition for defining the map. Only points necessary for defining the ROI need to be selected. For a simple-shape structure of interest, or for a structure of interest which is at a fair distance from other non- interesting structures, the number of points for defining a ROI comprising said structure of interest can be quite low. For a complex-shape structure of interest, a sufficient number of points can be selected to define a ROI that comprises said structure of interest but does not comprise, for example, a view-occluding structure. The intensities of voxels comprised in the structure of interest do not affect the definition of the ROI, because the ROI is defined on the basis of the selected plurality of points and is not affected by said intensities.
Abstract:
Volume measurement of for example a tumor in a 3D image dataset is an important and often performed task. The problem is to segment the tumor out of this volume in order to measure its dimensions. This problem is complicated by the fact that the tumors are often connected to vessels and other organs. According to the present invention, an automated method and corresponding device and computer software are provided, which analyze a volume of interest around a singled out tumor, and which, by virtue of a 3D distance transform and a region drawing scheme advantageously allow to automatically segment a tumor out of a given volume.
Abstract:
Ground glass opacities in the lung are non-solid nebular-like shadows in the parenchyma tissue of the lung, which may be precursors of a lung cancer. According to the present invention, ground glass opacities may automatically be determined on the basis of a texture analysis of the parenchyma. Advantageously, according to the present invention, a robust and reliable determination of ground glass opacities may be provided, even if vessels, lung walls, airspace or bronchi walls are present within the local neighborhood of the ground glass opacity.
Abstract:
The present invention relates to an apparatus (1) for segmenting an object comprising sub-objects shown in an object image. The apparatus comprises a feature image generation unit (2) for generating a feature image showing features related to intermediate regions between the sub-objects and a segmentation unit (3) for segmenting the sub-objects by using the object image and the feature image. Preferentially, the feature image generation unit (2) is adapted for generating a feature image from the object image. In a further embodiment, the feature image generation unit (2) comprises a feature enhancing unit for enhancing features related to intermediate regions between the sub-objects in the object image.