Fast reconstruction algorithm dealing with tomography artifacts

Federica Marone; Beat Münch; Marco Stampanoni

doi:10.1117/12.859703

20 September 2010 Fast reconstruction algorithm dealing with tomography artifacts

Federica Marone, Beat Münch, Marco Stampanoni

Proceedings Volume 7804, Developments in X-Ray Tomography VII; 780410 (2010) https://doi.org/10.1117/12.859703
Event: SPIE Optical Engineering + Applications, 2010, San Diego, California, United States

Abstract

Highly brilliant X-rays delivered by third generation synchrotron facilities coupled with modern detector technology permit routinely acquisition of high resolution tomograms in few minutes, making high throughput experiments a reality and bringing real-time tomography closer. New solutions for fast post-processing of such large amount of data are mandatory to fully exploit advantages provided by the high acquisition speed enabling new experiments until recently even unimaginable. The TOMCAT beamline¹ is well equipped for fast and high throughput experiments^{2, 3}. Here, we will focus on our solutions regarding the reconstruction process and discuss a fast reconstruction algorithm⁴, based on the Fourier Transform method as opposed to slower standard Filtered Back-Projection routines. We perform the critical step of such method, the polar-to-Cartesian mapping in the Fourier space, by convolution with the Fourier transform of functions with particular characteristics. This convolution approach combines speed with accuracy, making real-time data postprocessing closer to reality. This fast reconstruction algorithm implemented at TOMCAT also features several plug-ins, aimed at taming reconstruction artifacts. Here, we will discuss a new approach for removing rings from reconstructed datasets arising from defective detector pixels and/or damaged scintillator screens. This new method is based on a combined wavelet- FFT decomposition⁵. Another important feature of the presented reconstruction algorithm deals with local tomographic datasets, characterized by incomplete data. We show here that ad-hoc padding of the sinograms prior to reconstruction significantly reduces typical artifacts related to data incompleteness, making local tomography a valuable acquisition mode when small volumes in relatively large samples are of interest.

Citation Download Citation

Federica Marone, Beat Münch, and Marco Stampanoni "Fast reconstruction algorithm dealing with tomography artifacts", Proc. SPIE 7804, Developments in X-Ray Tomography VII, 780410 (20 September 2010); https://doi.org/10.1117/12.859703

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