Abstract:
An imaging system includes radiation source (106) that emits radiation that traverses an examination region and a portion of a subject therein and a detector array (114) that detects radiation that traverses the examination region and the portion of the subject therein and generates a signal indicative thereof. A volume scan parameter recommender (120) recommends at least one spectral scan parameter value for a volume scan of the portion of the subject based on a spectral decomposition of first and second 2D projections acquired by the radiation source and detector array. The first and second 2D projections have different spectral characteristics. A console (122) employs the recommended at least one spectral scan parameter value to perform the volume scan of the portion of the subject.
Abstract:
A method and an apparatus for acquiring 3-dimensional images of coronary vessels (11), particularly of coronary veins, is proposed. 2-dimensional X-ray images (13) are acquired within a same phase of a cardiac motion. Then, a 3- dimensional centerline model (15) is generated based on these 2-dimensional images. From 2-dimensional projections of the centerline model into respective projection planes, the local diameters (w) of the vessels in the projection plane can be derived. Having the diameters, a 3-dimensional hull model of the vessel system can be generated and, optionally, 4-dimensional information about the vessel movement can be derived.
Abstract:
In three-dimensional rotational x-ray coronary imaging problems may arise when estimating the motion of small vessels. According to an exemplary embodiment of the present invention, an examination apparatus is provided which is adapted for performing a hierarchical motion estimation by global affine transformation for every heart phase, followed by vessel branch selective affine and non-affine transformations. This may provide for an improved image quality.
Abstract:
Cardiac CT imaging using gated reconstruction is currently limited in its temporal and spatial resolution. According to an exemplary embodiment of the present invention, an examination apparatus is provided in which an identification of a high contrast object is performed. This high contrast object is then followed through the phases, resulting in a motion vector field of the high contrast object, on the basis of which a motion compensated reconstruction is then performed.
Abstract:
Computed tomography (CT) reconstruction includes reconstructing an axially extended reconstructed image from a measured cone beam x-ray projection data set (Pm), optionally having an off-center geometry. The reconstructing is performed for an extended volume (eFOV) comprising a reconstructable volume (rFOV) of the measured cone beam x ray data set that is extended along the axial direction. The projection data set may be weighted in the volume domain. Iterative reconstruction may be used, including initializing a constant volume and performing one or more iterations employing a first iterative update followed by one or more iterations employing a second, different iterative update. Alternatively, backprojection filtration (BPF) reconstruction may be used, including transforming the projection data set to a new geometry including finite differences between neighboring projection views and performing BPF using Hilbert filtering along a plurality of different directions and averaging the resultant reconstructed images to generate the final reconstructed image.
Abstract:
The present invention relates to an apparatus for generating an image of a moving object, wherein a movement of the object comprises a multiple of moving phases. The apparatus comprises a measured detection data providing unit (20) for providing measured detection data of the moving object, which have been detected by using a detection process and which are assigned to the moving phases. The apparatus comprises further a reconstruction unit (13) for reconstructing an image object of the object from the provided measured detection data and an adaptation unit (18) for adapting the image object for different moving phases such that simulated detection data are adapted to the measured detection data of the respective moving phase, wherein the simulated detection data are determined by simulating the detection process, which has been used for detecting the measured detection data assigned to the respective moving phase, with the image object.
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.