Multi-resolution radiograph alignment for motion correction in x-ray micro-tomography
Date
2016-10-03
Authors
Latham, Shane
Kingston, Andrew
Recur, Benoit
Myers, Glenn
Sheppard, Adrian
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Society of Photo-Optical Instrumentation Engineers (SPIE)
Abstract
Achieving sub-micron resolution in lab-based micro-tomography is challenging due to the geometric instability of the imaging hardware (spot drift, stage precision, sample motion). These instabilities manifest themselves as a distortion or motion of the radiographs relative to the expected system geometry. When the hardware instabilities are small (several microns of absolute motion), the radiograph distortions are well approximated by shift and magnification of the image. In this paper we examine the use of re-projection alignment (RA) to estimate per-radiograph motions. Our simulation results evaluate how the convergence properties of RA vary with: motion-type (smooth versus random), trajectory (helical versus space-filling) and resolution. We demonstrate that RA convergence rate and accuracy, for the space-filling trajectory, is invariant with regard to the motion-type. In addition, for the space-filling trajectory, the per-projection motions can be estimated to less than 0.25 pixel mean absolute error by performing a single quarter-resolution RA iteration followed by a single half-resolution RA iteration. The direct impact is that, for the space-filling trajectory, we need only perform one RA iteration per resolution in our iterative multi-grid reconstruction (IMGR). We also give examples of the effectiveness of RA motion correction method applied to real double-helix and space-filling trajectory micro-CT data. For double-helix Katsevich filtered-back-projection reconstruction (≈2500×2500×5000 voxels), we use a multi-resolution RA method as a pre-processing step. For the space-filling iterative reconstruction (≈2000×2000×5400 voxels), RA is applied during the IMGR iterations.
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Keywords
cone beam, re-projection alignment, iterative reconstruction, space-filling trajectory
Citation
Shane J. Latham, Andrew M. Kingston, Benoit Recur, Glenn R. Myers, and Adrian P. Sheppard "Multi-resolution radiograph alignment for motion correction in x-ray micro-tomography", Proc. SPIE 9967, Developments in X-Ray Tomography X, 996710 (3 October 2016); https://doi.org/10.1117/12.2238259 PROCEEDINGS 12 PAGES + PRESENTATION SHARE GET CITATION < Previous Article | Next Article > Advertisement Advertisement KEYWORDS Radiography Computer simulations Reconstruction algorithms Motion estimation Motion measurement Distortion Image resolution Show All Keywords RELATED CONTENT Iterative reconstruction optimisations for high angle cone-beam micro-CT Proceedings of SPIE (September 11 2014) High cone angle x ray computed micro tomography with 186... Proceedings of SPIE (October 03 2016) Image metrics for the automated alignment of microtomography data Proceedings of SPIE (September 06 2006) Motion estimation based registration of geometrically distorted images for watermark... Proceedings of SPIE (July 31 2001) Joint demosaicing and super resolution imaging from a set of... Proceedings of SPIE (February 19 2007) Quantifying and correcting motion artifacts in MRI Proceedings of SPIE (September 04 2006) Algebraic tomosynthesis reconstruction Proceedings of SPIE (May 11 2004) Subscribe to Digital Library
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Proceedings of SPIE
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Conference paper
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Open Access
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