Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

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N. Schilling, M. Wieczorek, T. Lasser
Statistical Models for Anisotropic X-Ray Dark-field Tomography
International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), Xi'an Shaanxi, China, June 2017 (bib)

Anisotropic X-ray Dark-field Tomography (AXDT) is a recently introduced imaging modality to recover anisotropic scattering functions of volumetric objects from dark-field data acquired by an X-ray grating interferometer. Current reconstruction methods implicitly assume a Gaussian distribution of the noise in the negative logarithm of the data. In this paper we derive log-likelihood functions for use in statistical reconstruction methods, based on more accurate noise models of the measured X-ray grating interferometer data. We also discuss some properties of these functions relevant to optimization.
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