Izvestiya of Saratov University.

Mathematics. Mechanics. Informatics

ISSN 1816-9791 (Print)
ISSN 2541-9005 (Online)


For citation:

Ivanov D. V., Kirillova I. V., Kossovich L. Y., Bessonov L. V., Petraikin A. V., Dol A. V., Ahmad E. S., Morozov S. P., Vladzymyrskyy A. V., Sergunova K. A., Kharlamov A. V. Influence of Convolution Kernel and Beam-Hardening Effect on the Assessment of Trabecular Bone Mineral Density Using Quantitative Computed Tomography. Izvestiya of Saratov University. Mathematics. Mechanics. Informatics, 2020, vol. 20, iss. 2, pp. 205-219. DOI: 10.18500/1816-9791-2020-20-2-205-219, EDN: BFUICL

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Published online: 
01.06.2020
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BFUICL

Influence of Convolution Kernel and Beam-Hardening Effect on the Assessment of Trabecular Bone Mineral Density Using Quantitative Computed Tomography

Autors: 
Ivanov Dmitry V., Saratov State University
Kirillova Irina V., Saratov State University
Kossovich Leonid Yurevich, Saratov State University
Bessonov Leonid Valentinovich, Saratov State University
Petraikin Alexey Vladimirovich, Saratov State University
Dol Aleksander Viktorovich, Saratov State University
Ahmad Ekaterina Sergeevna, State Budget-Funded Health Care Institution of the City of Moscow “Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of Moscow Health Care Department”
Morozov Sergey Pavlovich, State Budget-Funded Health Care Institution of the City of Moscow “Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of Moscow Health Care Department”
Vladzymyrskyy Anton Vycheslavovich, State Budget-Funded Health Care Institution of the City of Moscow “Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of Moscow Health Care Department”
Sergunova Kristina Anatolievna, State Budget-Funded Health Care Institution of the City of Moscow “Research and Practical Clinical Center for Diagnostics and Telemedicine Technologies of Moscow Health Care Department”
Kharlamov Alexander Vladimirovich, Saratov State University
Abstract: 

Quantitative computed tomography along with densitometry is used to assess mineral density and strength of bone tissue. Raw data obtained by computed tomography are converted by software using convolution kernels. It is known that the use of convolution kernels can significantly change tissue density, which is measured in Hounsfield units. The beam-hardening effect is described in literature: when x-ray passes through an object, the absorption of lower-energy x-ray photons occurs. Therefore, scanning objects “in the air” without surrounding soft tissues of the human body gives distorted Hounsfield units relative to their real values. This work is aimed at assessing the effect of various convolution kernels, beam-hardening effect, as well as other CT scanner settings for Hounsfield units. In this work, we studied samples of trabecular bone tissue of the femoral heads and calibrated samples of an aqueous solution of dipotassium hydrogen phosphate with known mineral density. Trabecular bone tissue samples of the femoral heads and calibrated samples of an aqueous solution of dipotassium hydrogen phosphate with known mineral density were scanned on Toshiba Aquilion 64 scanner. The samples were scanned in various modes: at different tube currents, “in the air” and inside the calibration phantom. The resulting images processed by the FC17 and FC03 convolution kernels were analyzed. It was shown that tube current magnitude practically does not affect the Hounsfield units. Different convolution kernels demonstrate significantly different Hounsfield units when scanning the same samples “in the air”. It has been confirmed that the beam-hardening effect significantly affects the Hounsfield units and should be considered when evaluating bone mineral density. No differences were found in measurements “in the air’ and in the phantom at a significance level of 5% for the FC03 kernel, which confirms the fact that FC03 is intended to correct the beam-hardening effect. An ambiguous relationship was noted between the Hounsfield units and the mineral density for low-density samples when scanned with the FC03 kernel. FC17 kernel, in comparison with FC03, is considered more preferable and suitable for assessing bone mineral density. However, pre-calibration with phantom is required for a wide range of preset mineral densities. Regression dependencies were obtained for recalculation of Hounsfield units from experiments “in the air” to Hounsfield units of the same samples scanned in surrounding tissues (in the phantom).

References: 
  1.  Patel S. P., Lee J. J., Hecht G. G., Holcombe S. A., Wang S. C., Goulet G. A. Normative Vertebral Hounsfield Unit Values and Correlation with Bone Mineral Density. J Clin Exp Orthop., 2016, vol. 2, no. 14. DOI: https://doi.org/10.4172/2471-8416.100014
  2. Kim K. J., Kim D. H., Lee J. I., Choi B. K., Han I. H., Nam K. H. Hounsfield Units on Lumbar Computed Tomography for Predicting Regional Bone Mineral Density. Open Med., 2019, vol. 14, iss. 1, pp. 545–551. DOI: https://doi.org/10.1515/med-2019-0061
  3. Khan S. N., Warkhedkar R. M., Shyam A. K. Analysis of Hounsfield Unit of Human Bones for Strength Evaluation. Procedia Materials Science, 2014, vol. 6, pp. 512–519. DOI: https://doi.org/10.1016/j.mspro.2014.07.065
  4. Giambini H., Dragomir-Daescu D., Huddleston P. M., Camp J. J., An K. N., Nassr A. The Effect of Quantitative Computed Tomography Acquisition Protocols on Bone Mineral Density Estimation. J Biomech Eng., 2015, vol. 137, no. 11, p. 114502. DOI: https://doi.org/10.1115/1.4031572
  5. Pickhardt P. J., Bodeen G., Brett A., Brown J. K., Binkley N. Comparison of femoral neck BMD evaluation obtained using lunar DXA and QCT with asynchronous calibration from CT colonography. J Clin Densitom, 2015, vol. 18, no. 1, pp. 5–12. DOI: https://doi.org/10.1016/j.jocd.2014.03.002
  6. 6. Brown J. K., Timm W., Bodeen G., Chason A., Perry M., Vernacchia F., Delournett R. Asynchronously Calibrated Quantitative Bone Densitometry. J Clin Densitom, 2017, vol. 20, no. 2, pp. 216–225. DOI: https://doi.org/10.1016/j.jocd.2015.11.001
  7. Andersen H. K., Jensen K., Berstad A. E., Aalokken T. M., Kristiansen J., von Gohren Edwin B., Hagen G., Martinsen A. C. Choosing the best reconstruction technique in abdominal computed tomography: a systematic approach. J Comput Assist Tomogr, 2014, vol. 38, no. 6, pp. 853–858. DOI: https://doi.org/10.1097/RCT.0000000000000139
  8. Michalski A. S., Edwards W. B., Boyd S. K. The Influence of Reconstruction Kernel on Bone Mineral and Strength Estimates Using Quantitative Computed Tomography and Finite Element Analysis. J Clin Densitom, 2019, vol. 22, no. 2, pp. 219–228. DOI: https://doi.org/10.1016/j.jocd.2017.09.001
  9. Birnbaum B. A., Hindman N., Lee J., Babb J. S. Multi-detector row CT attenuation measurements: assessment of intra- and interscanner variability with an anthropomorphic body CT phantom. Radiology, 2007, vol. 242, no. 1, pp. 109–119. DOI: https://doi.org/10.1148/radiol.2421052066
  10. Free J., Eggermont F., Derikx L., van Leeuwen R., van der Linden Y., Jansen W., Raaijmakers E., Tanck E., Kaatee R. The effect of different CT scanners, scan parameters and scanning setup on Hounsfield units and calibrated bone density: a phantom study. Biomed. Phys. Eng. Express, 2018, vol. 4, no. 5, p. 055013. DOI: https://doi.org/10.1088/2057-1976/aad66a
  11. Gromov А. I., Petraikin A. V., Kulberg N. S., Kim S. Yu., Morozov S. P., Sergunova K. A., Usanov M. S. The Problem of X-Ray Attenuation Estimation Accuracy in Multislice Computed Tomography. Medical Visualization, 2016, no. 6, pp. 133–142 (in Russian).
  12. Crookshank M., Ploeg H.-L., Ellis R., Macintyre N. J. Repeatable calibration of Hounsfield units to mineral density and effect of scanning medium. Advances in Biomechanics and Applications, 2013, vol. 1, no. 1, pp. 015–022. DOI: http://dx.doi.org/10.12989/aba.2013.1.1.015
  13. Witt R. M., Cameronand J. R. Improved bone standard containing dipotassium hydrogen phosphate solution for the intercomparison of different transmission bone scanning systems. Technical Report. 1970. NTIS Issue Number 197112. 6 p.
  14. Morozov S. P., Sergunova K. A., Petryaykin A. V., Semenov D. S., Petryaykin F. A., Akhmad E. S., Nizovtsova L. A., Vladzimirsky A. V. Phantom device for testing x-ray methods of osteodensitometry. Utility Model Patent 186961. RF. No. 2018125297; declared 10.07.2018; published 11.02.2019. Bull. no. 5. 11 p. (in Russian).
  15. Glantz S. A. Primer of biostatistics. Seventh Edition. New York, McGraw-Hill, 2011. 320 p.
  16. Kobzar A. I. Applied Mathematical Statistics. For Engineers and Scientists. Мoscow, Fizmatlit, 2006. 816 p. (in Russian).
Received: 
15.12.2019
Accepted: 
22.01.2020
Published: 
01.06.2020