DOI: 10.5281/zenodo.290117
title: Sparsebeads Dataset

description: The presented data set, inspired by the SophiaBeads Dataset Project for X-ray Computed Tomography, is collected for studies involving sparsity-regularised reconstruction. The aim is to provide tomographic data for various samples where the sparsity in the image varies.

 

This dataset is made available as part of the publication


"<strong><em>SparseBeads Data: Benchmarking Sparsity-Regularized Computed Tomography</em></strong>", Jakob S Jørgensen <em>et al,</em> 2017. <em>Meas. Sci. Technol.</em> <strong>28</strong> 124005.


Direct link: https://doi.org/10.1088/1361-6501/aa8c29.

This manuscript is published as part of Special Feature on Advanced X-ray Tomography (open access). We refer the users to this publication for an extensive detail in the experimental planning and data acquisition.

 

Each zipped data folder includes


	
	The meta data for data acquisition and geometry parameters of the scan (<strong>.xtekct</strong> and <strong>.ctprofile.xml)</strong>.
	
	
	A sinogram of the central slice (CentreSlice &gt; Sinograms &gt; <strong>.tif</strong>) along with meta data for the 2D slice (<strong>.xtek2dct</strong> and <strong>.ct2dprofile.xml</strong>),
	
	
	List of projection angles (<strong>.ang</strong>)
	
	
	and a 2D FDK reconstruction using the CTPro reconstruction suite (RECON2D &gt; .<strong>vol</strong>) with volume visualisation parameters (<strong>.vgi</strong>), added as a reference.
	


 

We also include an extra script for those that wish to use the SophiaBeads Dataset Project Codes, which essentially replaces the main script provided, <strong>sophiaBeads.m</strong> (visit https://zenodo.org/record/16539). Please note that <strong>sparseBeads.m</strong> script will have to be placed in the same folder as the project codes. The latest version of this script can be found here: https://github.com/jakobsj/SparseBeads_code

 

For more information, please contact


	jakj [at] dtu.dk
	jakob.jorgensen [at] manchester.ac.uk
description: JSJ was supported by the project ``High-Definition Tomography'' funded by Advanced Grant No. 291405 from the European Research Council. JSJ is grateful to the Schools of Mathematics and Materials, University of Manchester for hosting him during the work. SBC was supported by the School of Mathematics, University of Manchester, EPSRC CCPi (EP/J010456/1), and BP through the BP International Centre for Advanced Materials (BP-ICAM). WRBL acknowledges support from a Royal Society Wolfson Research Merit Award. SAM is grateful for funding through ZEISS. Authors acknowledge use of the Henry Moseley X-ray Imaging Facility at the University of Manchester, funded from the EPSRC under EP/F007906/1,  EP/F028431/1, EP/I02249X/1 and EP/M022498/1 as well as Advanced Grant No. 695638 ``Correlative Tomography'' from the European Research Council.
description: {"references": ["J\u00f8rgensen, J. S., Coban, S. B., Lionheart W. R. B., McDonald S. A., Withers P. J. (2017). SparseBeads Data: Benchmarking Sparsity-Regularized Computed Tomography. Meas. Sci. Technol. 28 124005. https://doi.org/10.1088/1361-6501/aa8c29", "Coban, S. B. (2015). SophiaBeads Dataset Project Codes [Data set]. Zenodo. http://doi.org/10.5281/zenodo.16539", "Coban, S. B., & McDonald, S. A. (2015). SophiaBeads Dataset Project [Data set]. Zenodo. http://doi.org/10.5281/zenodo.16474"]}