Abstract: The invention relates to a system (100) for propagating a model mesh based on a first mean model mesh and on a second mean model mesh, the system comprising: a registration unit (110) for computing a registration transformation for registering the first model mesh with the first mean model mesh; a forward transformation unit (120) for transforming the model mesh into a registered model mesh using the registration transformation; a computation unit (130) for computing a propagation field for propagating the registered model mesh, the propagation field comprising vectors of displacements of vertices of the second mean model mesh relative to respective vertices of the first mean model mesh; a propagation unit (140) for transforming the registered model mesh into the propagated registered model mesh based on applying the vertex displacement vectors comprised in the propagation field to respective vertices of the registered model mesh; and an inverse transformation unit (150) for transforming the propagated regist

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.

Abstract: The invention relates to a method for the interactive segmentation of a structure contained in an object from a three-dimensional image of the object. In an expansion mode a region expansion process is carried out, the results of said process simply being completely or partly undone again in a contraction mode. A quasi-continuous similarity measure can be used to determine whether or not a voxel belongs to the structure to be segmented. The expansion taking place in the region expansion process always involves the voxels having the largest similarity measure each time.

Abstract: The invention relates to a method (100) of and to a system (200) for determining a template mesh of a shape model on the basis of a plurality of instances of the shape model. The method of determining the template mesh of the shape model comprises an obtaining step (110) for obtaining the plurality of instances of the template mesh, a computing step (120) for computing a plurality of results on the basis of the plurality of instances of the shape model, a deciding step (130) for deriving a decision on the basis of the plurality of results, and a decimating step (140) for decimating the template mesh of the shape model on the basis of the decision, thereby determining the template mesh of the shape model. Thus, the template mesh of the shape model determined by the method of the invention better describes objects of interest at all locations.

Abstract: A reconstruction unit is provided for receiving a sequence of data sets, the data sets representing structural information of the object. The reconstruction unit performs receiving scheduling information related to the data sets of the sequence of data sets. Then reconstructing a sequence of coarse reconstructions of the object by using the sequence of data sets and the scheduling information. Afterwards a sequence of adapted models of the object is generated by adapting a respective model to each of the coarse reconstructions. Then a motion of a predetermined portion of each of the adapted models is determined and a specific data set of the sequence of data sets is selected, wherein the specific data set corresponds to the adapted model with the minimum motion of the predetermined portion. Finally the reconstruction unit performs reconstructing a fine reconstruction of at least the part of the object using the specific data set.

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.

Abstract: The present invention relates to an image processing device and a corresponding image processing method for processing medical image data showing at least two image objects, including a segmentation unit for detection and/or segmentation of image objects in said image data.

Abstract: The present invention relates to an image processing device and a corresponding image processing method for processing a multi-dimensional data set of image data, in particular of three-dimensional medical volume image data, including a segmentation unit (6, 16, 26) for a segmentation of an image object in said data set. Further, the present invention relates to a computer program for implementing said image processing method on a computer.

Abstract: The invention relates to a method of segmenting a surface in a multi dimensional dataset comprising a plurality of images. In accordance with the method of the invention, at step 4 shape parameters and topology parameters for the object under consideration are acquired. Preferably that the multi-dimensional data set imaging the object is acquired at an acquisition step 1 and is subsequently stored in a computer-readable file 2. At step 5 the default shape parameters and topology parameters of a suitable segmentation algorithm 3 based on a deformable model are adapted with the value of the actual shape parameters and the topology parameters 4 for the given object. Subsequently, at step 6 the images constituting the multi-dimensional dataset are segmented using deformable model algorithm 6a with the adapted shape parameters and the adapted topology parameters yielding respective portions of the sought surface.

Abstract: The invention relates to automatically segmenting and displaying the tracheobronchial tree (400) and displaying clinical values (404) related to the segmented tracheobronchial tree (400).

Abstract: The semi-automatic extraction and delineation of the cardiac region of interest in computer tomographic angiography images is time consuming and requires an experienced operator. According to the present invention, a completely automatic delineation and extraction of the CROI is provided, wherein the chest wall is detected and the region where the CROI is attached to the chest wall. Then, the descending aorta is detected. After that a circular initialization of a closed contour around a part of the CROI is performed, which is optimized in a subsequent step. Then, a propagation is performed through all slices of the CTA image, where the preceding contour of the preceding slice image is used for an actual contour optimization in the actual slice image. Advantageously, a fully automatic delineation and extraction of the CROI is provided within very short time.

Abstract: The invention relates to a method of defining a surface or a volume in a three-dimensional, and in particular medical, data set. At least two starting lines (11, 13), which preferably lie in mutually perpendicular planes and intersect one another, having been preset, contour lines (31) that lie between the starting lines (11, 13) are determined by Fourier transformation. These contour lines (31) form a surface structure (63) from which a surface can be determined by polygonization, e.g. by triangulation. If the starting lines are closed, the surface too is closed and defines a volume.

Abstract: The invention relates to a method for the interactive segmentation of a structure contained in an object from a three-dimensional image of the object. In an expansion mode a region expansion process is carried out, the results of said process simply being completely or partly undone again in a contraction mode. A quasi-continuous similarity measure can be used to determine whether or not a voxel belongs to the structure to be segmented. The expansion taking place in the region expansion process always involves the voxels having the largest similarity measure each time.

Abstract: The invention relates to a patient data processing system as well as to a corresponding method for the protocol-driven processing of patient data.