A low-cost geometry calibration procedure for a modular cone-beam X-ray CT system

References

• Parkinson DY, Knoechelb C, Yang C, et al. Automatic alignment and reconstruction of images for soft x-ray tomography. J Struct Biol. 2012;177(2):259–266..
   PubMed Web of Science ®Google Scholar
• Kingston A, Sakellariou A, Varslot T, et al. Automatic alignment and reconstruction of images for soft x-ray tomography. Med Phys. 2011;38(9):4934–4945.
   PubMedGoogle Scholar
• Jun K, Yoon S, Kwon K. Alignment solution for CT image reconstruction by fixed point and virtual rotation axis. Sci Rep. 2016;28( January). doi:10.1152/ajplegacy.1975.229.3.746
   Google Scholar
• Wang CC, Chiang CC, Liang B, et al. Fast projection matching for X-ray tomography. Sci Rep. 2017;7(1):1–11.
   PubMed Web of Science ®Google Scholar
• Liu Y Improve Industrial Cone-Beam Computed Tomography by Integrating Prior Information [ dissertation]. ETH Zurich; 2001.
   Google Scholar
• Cho Y, Moseley DJ, Siewerdsen JH, et al. Accurate technique for complete geometric calibration of cone-beam computed tomography systems. Med Phys. 2005;32(4):968–983.
   PubMed Web of Science ®Google Scholar
• Chetley Ford J, Zheng D, Williamson JF. Estimation of CT cone-beam geometry using a novel method insensitive to phantom fabrication inaccuracy: implications for isocenter localization accuracy. Med Phys. 2011;38(6Part 1):2829–2840.
   PubMedGoogle Scholar
• Mennessier C, Clackdoyle R, Noo F. Direct determination of geometric alignment parameters for cone-beam scanners. Phys Med Biol. 2009;54(6):1633–1660.
   PubMed Web of Science ®Google Scholar
• Gross D, Heil U, Schulze R, et al. Auto calibration of a cone-beam-CT. Med Phys. 2012;39(10):5959–5970.
   PubMed Web of Science ®Google Scholar
• Quercioli F, Tiribilli B, Mannoni A, et al. Optomechanics with LEGO. Appl Opt. 1998;37(16):3408.
   PubMed Web of Science ®Google Scholar
• Levine Z, Grantham S. A low-cost fiducial reference phantom for computed tomography. J Res Natl Inst Stand Technol. 2008;113(6):335–340.
   PubMed Web of Science ®Google Scholar
• 3D2YMOX; 3-Dimensional DYnamic MOrphology using X-rays; [cited on 2020 June 04]. Available from: https://www.uantwerpen.be/en/research-groups/3d2ymox/ (visited on 04/06/2020).
   Google Scholar
• Brainerd EL, Baier DB, Gatesy SM. et al. X-Ray reconstruction of moving morphology (XROMM): precision, accuracy and applications in comparative biomechanics research. J Exp Zool Part A Ecol Genetics Physiol. 2010;313 A(5):262–279.
   Google Scholar
• He K, Zhang X, Ren S, et al. Deep residual learning for image recognition. Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Las Vegas, Nevada, United States; 2016. pp.770–778.
   Google Scholar
• Marinovszki A, De Beenhouwer J, Sijbers J An efficient CAD projector for X-ray projection based 3D inspection with the ASTRA Toolbox. 8th Conference on Industrial Computed Tomography, Wels, Austria; 2018.
   Google Scholar
• Vanderbei RJ, Shanno DF. An interior-point algorithm for nonconvex nonlinear programming. Comput Optim Appl. 1999;13(1573–2894):231–252.
   Google Scholar
• Ferrucci M Systematic approach to geometrical calibration of X-ray computed tomography instruments [ dissertation]; 2018. Available from: https://lirias.kuleuven.be/retrieve/521553.
   Google Scholar
• Mahesh M. AAPM/RSNA physics tutorial for residents. Radio Graphics. 2004;24(6):1747–1760.
   Google Scholar
• Sanctorum JG, Adriaens D, Dirckx JJJ, et al. Methods for characterization and optimisation of measuring performance of stereoscopic x-ray systems with image intensifiers. Meas SciTechnol. 2019;30(10):105701.
   Web of Science ®Google Scholar
• Knorlein BJ, Baier DB, Gatesy SM, et al. Validation of XMALab software for Marker- based XROMM. J Exp Biol. 2016;219(23):3701–3711.
   PubMed Web of Science ®Google Scholar
• Van Aarle W, Palenstijn WJ, Cant J, et al. Fast and flexible X-ray tomography using the ASTRA toolbox. Opt Express. 2016;24(22):25129–25147.
   PubMed Web of Science ®Google Scholar
• Van Aarle W, Palenstijn WJ, De Beenhouwer J, et al. The ASTRA Toolbox: A plat- form for advanced algorithm development in electron tomography. Ultramicroscopy. 2015;157(2015):35–47.
   PubMedGoogle Scholar
• Nguyen V, De Beenhouwer J, Sanctorum J, et al. A low-cost and easy-to-use phantom for cone-beam geometry calibration of a tomographic X-ray system. 9th Conference on Industrial Computed Tomography, (iCT 2019), Padova, Italy; 2019. pp. 1–8.
   Google Scholar