Mainz 2014 – scientific programme

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ST: Fachverband Strahlen- und Medizinphysik

ST 2: Biomedical Imaging I

ST 2.9: Talk

Tuesday, March 25, 2014, 16:00–16:15, RW 2

Analysis Of A Deconvolution-Based Information-Retrieval Algorithm In X-Ray Grating-Based Phase-Contrast Imaging — •Florian Horn, Florian Bayer, Manuel Kraus, Georg Pelzer, Jens Rieger, André Ritter, Thomas Weber, Thilo Michel, and Gisela Anton — ECAP - Erlangen Centre for Astroparticle Physics, Universität Erlangen-Nürnberg, Erwin- Rommel-Straße 1, 91058 Erlangen

Grating-based X-ray phase-contrast imaging is a promising imaging modality to increase soft tissue contrast in comparison to conventional attenuation-based radiography. Complementary and otherwise inaccessible information is provided by the dark-field image, which shows the sub-pixel size granularity of the measured object.

In addition to the well-established image reconstruction process, an information retrieval process was introduced, which is based on deconvolution of the underlying scattering distribution within a single pixel revealing information about the sample. Subsequently, the different contrast modalities can be calculated out of the scattering distribution. The method already proved to deliver additional information by use of the higher moments of the scattering distribution and possibly reaches better image quality in consideration of an increased contrast-to-noise ratio.

We show analyses of the dependency of the iterative deconvolution-based method in regard of the dark-field image on different parameters such as dose, number of iterations and created dark-field signal. The results complete recently published numerical simulations.