A Micro-computed Tomography Database and Reference Implementation for Parallel Computations of Trabecular Thickness and Spacing
Journal of Open Research Software, vol. 10, pp. 4
Abstract
We provide a well-defined accurate brute force implementation without approximations as a reference to support future development of correct and fast algorithms to measure the trabecular thickness and spacing. Using artificial ellipsoid examples, the systematic error is shown to be related to the voxelization, which can be reduced by upsampling. Furthermore, we collected a database of 40 three-dimensional micro-computed tomography images of trabecular bone regions of a sheep femur. With the coverage of a broad range of trabecular thickness and spacing, the database is suitable for assessing the correctness of algorithms for the measurements of trabecular thickness and spacing. The bone data is shared publicly in the online repository ‘Figshare’ and the brute force code is freely available in Code Ocean. Scientists are encouraged to implement faster algorithms, e.g., graphic processing unit-accelerated, with accurate or controlled approximate behaviour to compute trabecular thickness and spacing. Especially, the provided data can be re-employed together with the reference algorithm to evaluate their accuracies.
Authors 8
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Thi-Ngoc-Thu Nguyen corresponding
King Mongkut's University of Technology North Bangkok
Affiliation as printed
Student, The Sirindhorn International Thai-German Graduate School of Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok, TH; Intern, Gremse-IT GmbH, Aachen
Intern, Gremse-IT GmbH, Aachen
Student, The Sirindhorn International Thai-German Graduate School of Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok, TH
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Affiliation as printed
Developer, Gremse-IT GmbH, Aachen
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Affiliation as printed
Developer, Gremse-IT GmbH, Aachen
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Affiliation as printed
Researcher, Gremse-IT GmbH, Aachen; Researcher, Institute for Experimental Molecular Imaging, University Hospital Aachen, Aachen
Researcher, Gremse-IT GmbH, Aachen
Researcher, Institute for Experimental Molecular Imaging, University Hospital Aachen, Aachen
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Fabian M. Kiessling Aachen Institute for Experimental Molecular Imaging Fraunhofer MEVIS Institute for Medical Image Computing Professor Comprehensive Diagnostics Center Aachen
Universitätsklinikum Aachen · Fraunhofer Institute for Digital Medicine
Affiliation as printed
Professor, Institute for Experimental Molecular Imaging, University Hospital Aachen, Aachen; Fraunhofer MEVIS, Institute for Medical Image Computing, Aachen; Comprehensive Diagnostics Center Aachen, Aachen
Comprehensive Diagnostics Center Aachen, Aachen
Fraunhofer MEVIS, Institute for Medical Image Computing, Aachen
Professor, Institute for Experimental Molecular Imaging, University Hospital Aachen, Aachen
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King Mongkut's University of Technology North Bangkok
Affiliation as printed
Assistant Professor, The Sirindhorn International Thai-German Graduate School of Engineering, King Mongkut’s University of Technology North Bangkok, Bangkok
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Affiliation as printed
Professor, Software and Tools for Computational Engineering, RWTH Aachen University, Aachen
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Felix Gremse Aachen Institute for Experimental Molecular Imaging Software and Tools for Computational Engineering Researcher Director Software and Tools for Computational Engineering
RWTH Aachen University · Universitätsklinikum Aachen
Affiliation as printed
Director, Gremse-IT GmbH, Aachen; Researcher, Institute for Experimental Molecular Imaging, University Hospital Aachen, Aachen; Software and Tools for Computational Engineering, RWTH Aachen University, Aachen
Director, Gremse-IT GmbH, Aachen
Researcher, Institute for Experimental Molecular Imaging, University Hospital Aachen, Aachen
Software and Tools for Computational Engineering, RWTH Aachen University, Aachen
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