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A new algorithm to improve assessment of cortical bone geometry in pQCT

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A new algorithm to improve assessment of cortical bone geometry in pQCT. / Cervinka, Tomas; Sievänen, Harri; Lala, Deena; Cheung, Angela M.; Giangregorio, Lora; Hyttinen, Jari.

In: Bone, Vol. 81, 01.12.2015, p. 721-730.

Research output: Contribution to journalArticleScientificpeer-review

Harvard

Cervinka, T, Sievänen, H, Lala, D, Cheung, AM, Giangregorio, L & Hyttinen, J 2015, 'A new algorithm to improve assessment of cortical bone geometry in pQCT', Bone, vol. 81, pp. 721-730. https://doi.org/10.1016/j.bone.2015.09.015

APA

Cervinka, T., Sievänen, H., Lala, D., Cheung, A. M., Giangregorio, L., & Hyttinen, J. (2015). A new algorithm to improve assessment of cortical bone geometry in pQCT. Bone, 81, 721-730. https://doi.org/10.1016/j.bone.2015.09.015

Vancouver

Cervinka T, Sievänen H, Lala D, Cheung AM, Giangregorio L, Hyttinen J. A new algorithm to improve assessment of cortical bone geometry in pQCT. Bone. 2015 Dec 1;81:721-730. https://doi.org/10.1016/j.bone.2015.09.015

Author

Cervinka, Tomas ; Sievänen, Harri ; Lala, Deena ; Cheung, Angela M. ; Giangregorio, Lora ; Hyttinen, Jari. / A new algorithm to improve assessment of cortical bone geometry in pQCT. In: Bone. 2015 ; Vol. 81. pp. 721-730.

Bibtex - Download

@article{d836bc8e2891449ebea486b3ebb9c3ef,
title = "A new algorithm to improve assessment of cortical bone geometry in pQCT",
abstract = "High-resolution peripheral quantitative computed tomography (HR-pQCT) is now considered the leading imaging modality in bone research. However, access to HR-pQCT is limited and image acquisition is mainly constrained only for the distal third of appendicular bones. Hence, the conventional pQCT is still commonly used despite inaccurate threshold-based segmentation of cortical bone that can compromise the assessment of whole bone strength. Therefore, this study addressed whether the use of an advanced image processing algorithm, called OBS, can enhance the cortical bone analysis in pQCT images and provide similar information to HR-pQCT when the same volumes of interest are analyzed. Using pQCT images of European Forearm Phantom (EFP), and pQCT and HR-pQCT images of the distal tibia from 15 cadavers, we compared the results from the OBS algorithm with those obtained from common pQCT analyses, HR-pQCT manual analysis (considered as a gold standard) and common HR-pQCT analysis dual threshold technique.We found that the use of OBS segmentation method for pQCT image analysis of EFP data did not result in any improvement but reached similar performance in cortical bone delineation as did HR-pQCT image analyses. The assessments of cortical cross-sectional bone area and thickness by OBS algorithm were overestimated by less than 4{\%} while area moments of inertia were overestimated by ~5-10{\%}, depending on reference HR-pQCT analysis method. In conclusion, this study showed that the OBS algorithm performed reasonably well and it offers a promising practical tool to enhance the assessment of cortical bone geometry in pQCT.",
keywords = "Bone strength, Cortical bone, HR-pQCT, PQCT, Segmentation",
author = "Tomas Cervinka and Harri Siev{\"a}nen and Deena Lala and Cheung, {Angela M.} and Lora Giangregorio and Jari Hyttinen",
note = "EXT={"}Siev{\"a}nen, Harri{"}",
year = "2015",
month = "12",
day = "1",
doi = "10.1016/j.bone.2015.09.015",
language = "English",
volume = "81",
pages = "721--730",
journal = "Bone",
issn = "8756-3282",
publisher = "Elsevier",

}

RIS (suitable for import to EndNote) - Download

TY - JOUR

T1 - A new algorithm to improve assessment of cortical bone geometry in pQCT

AU - Cervinka, Tomas

AU - Sievänen, Harri

AU - Lala, Deena

AU - Cheung, Angela M.

AU - Giangregorio, Lora

AU - Hyttinen, Jari

N1 - EXT="Sievänen, Harri"

PY - 2015/12/1

Y1 - 2015/12/1

N2 - High-resolution peripheral quantitative computed tomography (HR-pQCT) is now considered the leading imaging modality in bone research. However, access to HR-pQCT is limited and image acquisition is mainly constrained only for the distal third of appendicular bones. Hence, the conventional pQCT is still commonly used despite inaccurate threshold-based segmentation of cortical bone that can compromise the assessment of whole bone strength. Therefore, this study addressed whether the use of an advanced image processing algorithm, called OBS, can enhance the cortical bone analysis in pQCT images and provide similar information to HR-pQCT when the same volumes of interest are analyzed. Using pQCT images of European Forearm Phantom (EFP), and pQCT and HR-pQCT images of the distal tibia from 15 cadavers, we compared the results from the OBS algorithm with those obtained from common pQCT analyses, HR-pQCT manual analysis (considered as a gold standard) and common HR-pQCT analysis dual threshold technique.We found that the use of OBS segmentation method for pQCT image analysis of EFP data did not result in any improvement but reached similar performance in cortical bone delineation as did HR-pQCT image analyses. The assessments of cortical cross-sectional bone area and thickness by OBS algorithm were overestimated by less than 4% while area moments of inertia were overestimated by ~5-10%, depending on reference HR-pQCT analysis method. In conclusion, this study showed that the OBS algorithm performed reasonably well and it offers a promising practical tool to enhance the assessment of cortical bone geometry in pQCT.

AB - High-resolution peripheral quantitative computed tomography (HR-pQCT) is now considered the leading imaging modality in bone research. However, access to HR-pQCT is limited and image acquisition is mainly constrained only for the distal third of appendicular bones. Hence, the conventional pQCT is still commonly used despite inaccurate threshold-based segmentation of cortical bone that can compromise the assessment of whole bone strength. Therefore, this study addressed whether the use of an advanced image processing algorithm, called OBS, can enhance the cortical bone analysis in pQCT images and provide similar information to HR-pQCT when the same volumes of interest are analyzed. Using pQCT images of European Forearm Phantom (EFP), and pQCT and HR-pQCT images of the distal tibia from 15 cadavers, we compared the results from the OBS algorithm with those obtained from common pQCT analyses, HR-pQCT manual analysis (considered as a gold standard) and common HR-pQCT analysis dual threshold technique.We found that the use of OBS segmentation method for pQCT image analysis of EFP data did not result in any improvement but reached similar performance in cortical bone delineation as did HR-pQCT image analyses. The assessments of cortical cross-sectional bone area and thickness by OBS algorithm were overestimated by less than 4% while area moments of inertia were overestimated by ~5-10%, depending on reference HR-pQCT analysis method. In conclusion, this study showed that the OBS algorithm performed reasonably well and it offers a promising practical tool to enhance the assessment of cortical bone geometry in pQCT.

KW - Bone strength

KW - Cortical bone

KW - HR-pQCT

KW - PQCT

KW - Segmentation

U2 - 10.1016/j.bone.2015.09.015

DO - 10.1016/j.bone.2015.09.015

M3 - Article

VL - 81

SP - 721

EP - 730

JO - Bone

JF - Bone

SN - 8756-3282

ER -