METHOD FOR TOMOGRAPHIC RECONSTRUCTION OF A MEASUREMENT VARIABLE BY SPECIFIC DETERMINATION OF THE MEASUREMENT POINTS

摘要

The invention relates to a method for the tomographic reconstruction of the distribution of a measurement variable within a sample from values of an auxiliary variable, a method for determining the optimum measurement points for the auxiliary variable, as well as apparatuses for carrying out the methods. According to the invention, when determining the distribution of the measurement variable, the values of the auxiliary variable are weighted on the basis of a relevance measure. Relevance measures can, for example, measure how strongly the value of the auxiliary variable measured at the assessed location reacts to changes in the measurement variable, how large the resolveable structures in the reconstructed distribution of the measurement variable are which are changed in the event of a change in the value of the auxiliary variable measured at the assessed point, or how much information about the overall distribution of the measurement variable is contained in the value of the auxiliary variable measured at the assessed point. It is thus possible to obtain better information, from far fewer recorded values of the auxiliary variable, about the distribution of the measurement variable in the sample than according to the prior art.