摘要:
A method is disclosed for selecting two contrast agents to be used in a dual energy CT examination of a patient. In at least one embodiment, the method includes determining the gradient of a connecting line between a first material or a first tissue type and a second material or second tissue type in an HU value diagram of the energy-specific HU values, selecting a first contrast agent with an enhancement gradient which is significantly greater than the determined base gradient, and selecting a second contrast agent, the enhancement of which lies in the significance region of the determined base gradient. A contrast agent combination selected in the fashion is also disclosed in at least one embodiment, as well as the generation of CT images using a contrast agent combination selected in the fashion and using different energy spectra.
摘要:
A method is disclosed for the reduction of image artifacts, in particular metal artifacts, during the generation of computed tomography image data of an object. In at least one embodiment of the method, two CT image data sets are generated with different medium x-ray energies. By way of a weighted combination of the two CT image data sets, a new image data set is calculated. The weighting factor employed in the weighted combination is here selected in such a way that the image artifacts in the new CT image data set are significantly reduced compared with the image artifacts in the two original CT image data sets. In this way it is possible in a simple manner significantly to reduce in particular metal artifacts in CT images.
摘要:
Methods, apparatuses and computer readable mediums for generating a volume visualization image based on multi-energy computed tomography data are provided. In one method, an image is rendered based on a multi-dimensional graphical representation of the computed tomography data. The computed tomography data includes at least two different energy image data sets and the multi-dimensional graphical representation represents intensity values of each of the at least two different energy image data sets.