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Proceedings Paper

Statistical iterative reconstruction for multi-contrast x-ray micro-tomography
Author(s): S. Allner; A. Velroyen; A. Fehringer; F. Pfeiffer; P. B. Noël
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Paper Abstract

Scanning times have always been an important issue in x-ray micro-tomography. To reach high-quality reconstructions the exposure times for each projection can be very long due to small detector pixel sizes and limited flux of x-ray sources. In addition, the required number of projections is a factor which limits a reduction of exposure beyond a certain level. This applies particularly to grating-based phase-contrast computed tomography (PCCT), as several images per projection have to be acquired in order to obtain absorption, phase and dark-field information. In this work we qualitatively compare statistical iterative reconstruction (SIR) and filtered back-projection (FBP) reconstruction from undersampled projection data based on a formalin-fixated mouse sample measured in a grating-based phase-contrast small-animal scanner. The results from our assessment illustrate that SIR offers not only significantly higher image quality, but also enables high-resolution imaging from severely undersampled data in comparison to the FBP algorithm. Therefore, the application of advanced iterative reconstruction methods in micro-tomography entails major advantages over state-of-the-art FBP reconstruction while offering the opportunity to shorten scan durations via a reduction of exposure time per projection and number of angular views.

Paper Details

Date Published: 18 March 2015
PDF: 6 pages
Proc. SPIE 9412, Medical Imaging 2015: Physics of Medical Imaging, 94123O (18 March 2015); doi: 10.1117/12.2082619
Show Author Affiliations
S. Allner, Technische Univ. München (Germany)
A. Velroyen, Technische Univ. München (Germany)
A. Fehringer, Technische Univ. München (Germany)
F. Pfeiffer, Technische Univ. München (Germany)
P. B. Noël, Technische Univ. München (Germany)


Published in SPIE Proceedings Vol. 9412:
Medical Imaging 2015: Physics of Medical Imaging
Christoph Hoeschen; Despina Kontos, Editor(s)

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