Abstract: A method of using computed tomography for determining a volumetric representation of a sample, involving a first reconstruction for reconstructing first reconstructed volume data of the sample from first x-ray projection data of the sample taken by an x-ray system, a second reconstruction for reconstructing second reconstructed volume data of the sample from second x-ray projection data of the sample taken by an x-ray system, characterized by calculating first individual confidence measures for single voxels of the first reconstructed volume data, calculating second individual confidence measures for single voxels of the second reconstructed volume data, and calculating, in a subsequent step, at least one resulting set of individual values for each voxel based on the first individual confidence measures and the second individual confidence measures.

Abstract: A computed tomography method for determining a volumetric representation of a sample comprising reconstruction initial volume data of the sample from x-ray projections of the sample taken by an x-ray system, determining a part of the reconstructed initial volume data to be updated, and executing an iterative update process configured to generate, using an iterative reconstruction method, updated volume data only for the part of the volume data determined to be updated. Determining the part of the sample volume to be updated comprises individually evaluating every single voxel in the reconstructed initial volume data, based on available quality information for the reconstructed initial volume data, whether or not the voxel fulfils a predetermined condition indicating that an update is required for the voxel, and the iterative update process generates the updated volume data only for the voxels which have been determined that an update is required.

Abstract: A method for determining confidence values for volume units includes acquiring real projections of an object in a tomography system, reconstructing an image of the object from the real projections, generating artificial projections, for each volume unit comparing the real projections with the artificial projections and generating a confidence measure for each of the volume units.

Abstract: A method of using computed tomography for determining a volumetric representation of a sample, involving a first reconstruction for reconstructing first reconstructed volume data of the sample from first x-ray projection data of the sample taken by an x-ray system, a second reconstruction for reconstructing second reconstructed volume data of the sample from second x-ray projection data of the sample taken by an x-ray system, characterized by calculating first individual confidence measures for single voxels of the first reconstructed volume data, calculating second individual confidence measures for single voxels of the second reconstructed volume data, and calculating, in a subsequent step, at least one resulting set of individual values for each voxel based on the first individual confidence measures and the second individual confidence measures.

Abstract: A computed tomography method for determining a volumetric representation of a sample comprises using reconstructed volume data of the sample from x-ray projections of the sample taken by an x-ray system, computing a set of artificial projections of said sample by a forward projection from said reconstructed volume data, and determining, essentially from process data of said reconstruction including said reconstructed volume data and/or said x-ray projections, individual confidence measures for single voxels of said volume data based on calculating, for each of said measured x-ray projections, the difference between the contribution of this measured x-ray projection to the voxel under inspection and the contribution from a corresponding artificial projection to the voxel under inspection.

Abstract: A method for determining confidence values for volume units includes acquiring real projections of an object in a tomography system, reconstructing an image of the object from the real projections, generating artificial projections, for each volume unit comparing the real projections with the artificial projections and generating a confidence measure for each of the volume units.

Abstract: A computed tomography method for determining a volumetric representation of a sample comprising reconstruction initial volume data of the sample from x-ray projections of the sample taken by an x-ray system, determining a part of the reconstructed initial volume data to be updated, and executing an iterative update process for generating configured to generate, using an iterative reconstruction method, updated volume data only for the part of the volume data determined to be updated. Determining the part of the sample volume to be updated comprises individually evaluating every single voxel in the reconstructed initial volume data, based on available quality information for the reconstructed initial volume data, whether or not the voxel fulfils a predetermined condition indicating that an update is required for the voxel, and the iterative update process generates the updated volume data only for the voxels which have been determined that an update is required.

Abstract: A computed tomography method for determining a volumetric representation of a sample comprises using reconstructed volume data of the sample from x-ray projections of the sample taken by an x-ray system, computing a set of artificial projections of said sample by a forward projection from said reconstructed volume data , and determining, essentially from process data of said reconstruction including said reconstructed volume data and/or said x-ray projections, individual confidence measures for single voxels of said volume data based on calculating, for each of said measured x-ray projections, the difference between the contribution of this measured x-ray projection to the voxel under inspection and the contribution from a corresponding artificial projection to the voxel under inspection.