Tomographic reconstruction of axially symmetric objects:Regularization by a Markovian modelization

摘要

Tomographic reconstruction of an axially symmetric object using aBayesian regularization which introduces local geometric and physicalinformation through Markovian modeling is presented. The algorithm istested on simulated and experimental data. A way of using the excess ofobservations in a projection to reconstruct some deviations from theaxial symmetry of the object is presented. A method to determine someparameters of the model is proposed