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

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 densit...

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Main Authors: Ivanov, Dmitriy V., Kirillova , Irina Vasilevna, Kossovich, Leonid Yurevich, Bessonov , Leonid Valentinovich, Petraikin, Alexey Vladimirovich, Dol, Aleksandr Viktorovich, Ahmad, Ekaterina Sergeevna, Morozov, Sergey Pavlovich, Vladzymyrskyy, Anton Vycheslavovich, Sergunova, Kristina Anatolievna, Kharlamov, Aleksandr Vladimirovich
Format: Article
Language:English
Published: Saratov State University 2020-06-01
Series:Известия Саратовского университета. Новая серия. Серия Математика. Механика. Информатика
Subjects:
Online Access:https://mmi.sgu.ru/sites/mmi.sgu.ru/files/2020/05/205-219ivanov_et_al.pdf
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author Ivanov, Dmitriy V.
Kirillova , Irina Vasilevna
Kossovich, Leonid Yurevich
Bessonov , Leonid Valentinovich
Petraikin, Alexey Vladimirovich
Dol, Aleksandr Viktorovich
Ahmad, Ekaterina Sergeevna
Morozov, Sergey Pavlovich
Vladzymyrskyy, Anton Vycheslavovich
Sergunova, Kristina Anatolievna
Kharlamov, Aleksandr Vladimirovich
spellingShingle Ivanov, Dmitriy V.
Kirillova , Irina Vasilevna
Kossovich, Leonid Yurevich
Bessonov , Leonid Valentinovich
Petraikin, Alexey Vladimirovich
Dol, Aleksandr Viktorovich
Ahmad, Ekaterina Sergeevna
Morozov, Sergey Pavlovich
Vladzymyrskyy, Anton Vycheslavovich
Sergunova, Kristina Anatolievna
Kharlamov, Aleksandr Vladimirovich
Influence of Convolution Kernel and Beam-Hardening Effect on the Assessment of Trabecular Bone Mineral Density Using Quantitative Computed Tomography
Известия Саратовского университета. Новая серия. Серия Математика. Механика. Информатика
computed tomography
quantitative computed tomography
bone mineral density
hounsfield unit
convolution kernel
author_facet Ivanov, Dmitriy V.
Kirillova , Irina Vasilevna
Kossovich, Leonid Yurevich
Bessonov , Leonid Valentinovich
Petraikin, Alexey Vladimirovich
Dol, Aleksandr Viktorovich
Ahmad, Ekaterina Sergeevna
Morozov, Sergey Pavlovich
Vladzymyrskyy, Anton Vycheslavovich
Sergunova, Kristina Anatolievna
Kharlamov, Aleksandr Vladimirovich
author_sort Ivanov, Dmitriy V.
title Influence of Convolution Kernel and Beam-Hardening Effect on the Assessment of Trabecular Bone Mineral Density Using Quantitative Computed Tomography
title_short Influence of Convolution Kernel and Beam-Hardening Effect on the Assessment of Trabecular Bone Mineral Density Using Quantitative Computed Tomography
title_full Influence of Convolution Kernel and Beam-Hardening Effect on the Assessment of Trabecular Bone Mineral Density Using Quantitative Computed Tomography
title_fullStr Influence of Convolution Kernel and Beam-Hardening Effect on the Assessment of Trabecular Bone Mineral Density Using Quantitative Computed Tomography
title_full_unstemmed Influence of Convolution Kernel and Beam-Hardening Effect on the Assessment of Trabecular Bone Mineral Density Using Quantitative Computed Tomography
title_sort influence of convolution kernel and beam-hardening effect on the assessment of trabecular bone mineral density using quantitative computed tomography
publisher Saratov State University
series Известия Саратовского университета. Новая серия. Серия Математика. Механика. Информатика
issn 1816-9791
2541-9005
publishDate 2020-06-01
description 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-ardening 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 percent for the FC03 kernel, which confirms the fact that FC03 is intended to correct the beam- ardening 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).
topic computed tomography
quantitative computed tomography
bone mineral density
hounsfield unit
convolution kernel
url https://mmi.sgu.ru/sites/mmi.sgu.ru/files/2020/05/205-219ivanov_et_al.pdf
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spelling doaj-31c304ec89bf43c0ace95336652844752020-11-25T03:36:42ZengSaratov State UniversityИзвестия Саратовского университета. Новая серия. Серия Математика. Механика. Информатика1816-97912541-90052020-06-0120220521910.18500/1816-9791-2020-20-2-205-219Influence of Convolution Kernel and Beam-Hardening Effect on the Assessment of Trabecular Bone Mineral Density Using Quantitative Computed TomographyIvanov, Dmitriy V.0Kirillova , Irina Vasilevna1Kossovich, Leonid Yurevich2Bessonov , Leonid Valentinovich3Petraikin, Alexey Vladimirovich4Dol, Aleksandr Viktorovich5Ahmad, Ekaterina Sergeevna6Morozov, Sergey Pavlovich7Vladzymyrskyy, Anton Vycheslavovich8Sergunova, Kristina Anatolievna9Kharlamov, Aleksandr Vladimirovich10Saratov State University, Russia, Saratov, Astrakhanskaya 83Saratov State University 1, Saratov State University, Russia, 410012, Saratov, Astrahanskaya st., 83Saratov State University 1, Saratov State University, Russia, 410012, Saratov, Astrahanskaya st., 83Saratov State University, Russia, Saratov, Astrakhanskaya 83State 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, 28-1 Srednyaya Kalitnikovskaya St., Moscow 109029, RussiaSaratov State University 1, Saratov State University, Russia, 410012, Saratov, Astrahanskaya st., 83State 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, 28-1 Srednyaya Kalitnikovskaya St., Moscow 109029, RussiaState 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, 28-1 Srednyaya Kalitnikovskaya St., Moscow 109029, RussiaState 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, 28-1 Srednyaya Kalitnikovskaya St., Moscow 109029, RussiaLomonosov Moscow State University, Research Computing Center, 119991, Leninskiye Gory, Moscow, Russia,1, building 4,Saratov State University, Russia, Saratov, Astrakhanskaya 83Quantitative 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-ardening 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 percent for the FC03 kernel, which confirms the fact that FC03 is intended to correct the beam- ardening 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).https://mmi.sgu.ru/sites/mmi.sgu.ru/files/2020/05/205-219ivanov_et_al.pdfcomputed tomographyquantitative computed tomographybone mineral densityhounsfield unitconvolution kernel