Abstract:
The invention relates to a method and a device for the iterative reconstruction of cross-sectional images of the heart (7) of a patient based on projections (P1, . . . P5) from different directions which are for example generated with a helical cone-beam CT scanner. A cardiac weight function (f) quantifies how near the projections (P1, . . . ) are to a given observation phase (To) of the heart cycle based on simultaneously recorded electrocardiographic signals (ECG). The whole set of projections (P1, . . . ) is divided into subsets (S1, . . . ) which each contain only projections corresponding to a similar cardiac weight (f), and an iterative reconstruction algorithm like ART uses in one update or iteration step all projections of such a subset (S1, . . . ) simultaneously.
Abstract:
The invention relates to a computed tomography method in which an examination zone is irradiated from two mutually offset, preferably circular trajectories. In an intermediate region the absorption distribution is reconstructed by means of measuring values from both trajectories, the weight with which the measuring values are used being larger as the distance between the voxel to be reconstructed and the relevant trajectory is smaller.
Abstract:
The method involves determining central 2D central line points in 2D projection images of a first movement phase, modeling first 3D central line points in the same phase, projecting the first 3D central line points into second 2D images of a second phase, recording the 3D central line points projected into the second 2D images to obtain 2D central line points, iterating, determining the profile in the 2D images and reconstructing 3D images. The method involves determining central 2D central line points in at least two 2D projection images acquired in the same first movement phase (S1), modeling first 3D central line points in the same first phase (S2), projecting the first 3D central line points into at least two second 2D images acquired in a second phase (S3), recording the 3D central line points projected into the second 2D images to obtain 2D central line points (S4), iterating for more phases, determining the profile of the tubular structure element in the 2D images (S6) and reconstructing 3D images in different phases (S7). Independent claims are also included for the following: (a) an arrangement for producing four-dimensional image data records of a moving tubular structure (b) a computer program with a computer program arrangement for causing a computer to implement the inventive method.
Abstract:
The invention relates to a computed tomography method in which an examination zone is irradiated from two mutually offset, preferably circular trajectories. In an intermediate region the absorption distribution is reconstructed by means of measuring values from both trajectories, the weight with which the measuring values are used being larger as the distance between the voxel to be reconstructed and the relevant trajectory is smaller.
Abstract:
An apparatus and a method for correcting a CT slice image for an image artifact (330) caused by the motion of a high attenuation part (140) in an object (135) of interest. The CT slice image is based on projection images (310a,b). The apparatus and method uses a footprint (315 a,b) of the part in each of the projection images (310a,b).
Abstract:
A method for fully automatic modelling of medical structures with homogeneous attenuation function from few projections is provided. The object of interest is modelled as a polyhedron with triangular surface mesh. The optimization of both the coordinates of the polyhedral model and the attenuation value of the polyhedral model is performed during a data reconstruction. This results in an attenuation value together with a three-dimensional surface model of the physical structure imaged. Combining several polyhedral models into one compound model, the method may allow for fully automatic modelling of medical structures with piecewise constant attenuation function.
Abstract:
A system (900) and method for automatic projection-based removing of high-contrast artificial objects from a medical image is provided. The method comprises performing a low-pass filtering (1100) to the two-dimensional image (100, 500, 1000) using a filter width range (1110) corresponding to structures of a line-shaped artificial object to generate a low-pass filtered intensity image and performing an evaluation of the Hessian matrix of each pixels of the low-pass filtered intensity image for locating and enhancing the structure of the line-shaped artificial object to generate a multi-scale filtered intensity image, wherein predefined scaling widths are used in order to avoid the locating and enhancing of larger structures.