Missing wedge computed tomography by iterative algorithm DIRECTT

Autor:	Ingo Manke, Roman Grothausmann, Volker Schmidt, André Hilger, Sebastian Lück, Andreas Kupsch, Manfred P. Hentschel, Axel Lange
Rok vydání:	2016
Předmět:	010302 applied physics Histology Computer science Iterative method business.industry Physics::Medical Physics Kernel density estimation Neutron tomography Reconstruction algorithm 02 engineering and technology Iterative reconstruction 021001 nanoscience & nanotechnology 01 natural sciences Wedge (geometry) Pathology and Forensic Medicine Electron tomography 0103 physical sciences Computer vision Artificial intelligence Boundary value problem 0210 nano-technology business Algorithm
Zdroj:	Journal of Microscopy. 261:36-45
ISSN:	0022-2720
DOI:	10.1111/jmi.12313
Popis:	A strategy to mitigate typical reconstruction artefacts in missing wedge computed tomography is presented. These artefacts appear as elongations of reconstructed details along the mean direction (i.e. the symmetry centre of the projections). Although absent in standard computed tomography applications, they are most prominent in advanced electron tomography and also in special topics of X-ray and neutron tomography under restricted geometric boundary conditions. We investigate the performance of the DIRECTT (Direct Iterative Reconstruction of Computed Tomography Trajectories) algorithm to reduce the directional artefacts in standard procedures. In order to be sensitive to the anisotropic nature of missing wedge artefacts, we investigate isotropic substructures of metal foam as well as circular disc models. Comparison is drawn to filtered backprojection and algebraic techniques. Reference is made to reconstructions of complete data sets. For the purpose of assessing the reconstruction quality, Fourier transforms are employed to visualize the missing wedge directly. Deficient reconstructions of disc models are evaluated by a length-weighted kernel density estimation, which yields the probabilities of boundary orientations. The DIRECTT results are assessed at different signal-to-noise ratios by means of local and integral evaluation parameters.
Databáze:	OpenAIRE
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