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High performance iterative reconstruction methods for Talbot‐Lau grating interferometry based phase contrast tomography.
Phase Contrast X‐ray Computed Tomography (CT) measures besides the intensity also changes in the phase of a transmitted X‐rays. These changes give exquisite and complementary information about the object, in particular about soft tissues. More and more CT systems are able to measure these phases. However, the development of efficient mathematical reconstruction algorithms that reconstruct the 3D object from the measured data is only in its early stages. This project will make progress in the modelling of the data acquisition process and the reconstruction algorithms. It is a collaboration between the group A pplied Mathematics and the V ision Lab . Valorisation will be realized by the distribution of the new algorithms through the ASTRA toolbox and the initiation of research collaborations, licensing deals and contract research with industry.
Date:1 Jan 2017 → 31 Dec 2019
Keywords:TOMOGRAPHY, ITERATIVE METHODS
Disciplines:Analysis, Applied mathematics in specific fields, General mathematics, History and foundations, Other mathematical sciences, Classical physics, Elementary particle and high energy physics, Other physical sciences, Biophysics