Assessment of the long bone inter-fragmentary gap size in ultrasound strain elastograms

Research output: Contribution to journalArticle

Songyuan Tang, Eric P. Sabonghy, Md Tauhidul Islam, Peer Shafeeq Shajudeen, Anuj Chaudhry, Ennio Tasciotti, Raffaella Righetti

The inter-fragmentary gap size (IFGS) is a critical factor affecting the propensity of bone healing. In this paper, we present a study to analyze ultrasound strain elastographic numerical features in samples with distinct IFGS using both simulations and experiments. Six fractured rabbit hind leg samples in total were used in this study with controlled IFGS of 1 mm, 5 mm and 1 cm. For the simulation, computed tomography (CT) scans of all six samples were used to create solid models. Finite element analysis (FEA) and subsequent elastography simulations were performed on the 3D models to produce tensorial strain field data. Features of bony fragment separation were defined on different strain components and computed for strains segmented at varying thresholds to evaluate their performance in estimating the IFGS. A threshold for each strain component was then determined, based on which extra 3D features of interest were defined and extracted from the segmented strain data. Then, all 3D features were compared statistically among the three nominal groups. Additional simulations and experiments of axial shear strain elastography (ASSE) on the median coronal plane of the same samples were also performed. Our results indicate that coronal plane axial shear (CPAS) strain elastography produces a separation feature which is statistically correlated with the IFGS, and that our elastography simulation module is effective in predicting the CPAS elastographic strain behavior for different IFGS.

Original languageEnglish (US)
Article number025014
JournalPhysics in Medicine and Biology
Volume64
Issue number2
DOIs
StatePublished - Jan 10 2019

PMID: 30628584

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Assessment of the long bone inter-fragmentary gap size in ultrasound strain elastograms. / Tang, Songyuan; Sabonghy, Eric P.; Tauhidul Islam, Md; Shafeeq Shajudeen, Peer; Chaudhry, Anuj; Tasciotti, Ennio; Righetti, Raffaella.

In: Physics in Medicine and Biology, Vol. 64, No. 2, 025014, 10.01.2019.

Research output: Contribution to journalArticle

Harvard

Tang, S, Sabonghy, EP, Tauhidul Islam, M, Shafeeq Shajudeen, P, Chaudhry, A, Tasciotti, E & Righetti, R 2019, 'Assessment of the long bone inter-fragmentary gap size in ultrasound strain elastograms' Physics in Medicine and Biology, vol. 64, no. 2, 025014. https://doi.org/10.1088/1361-6560/aaf5ed

APA

Tang, S., Sabonghy, E. P., Tauhidul Islam, M., Shafeeq Shajudeen, P., Chaudhry, A., Tasciotti, E., & Righetti, R. (2019). Assessment of the long bone inter-fragmentary gap size in ultrasound strain elastograms. Physics in Medicine and Biology, 64(2), [025014]. https://doi.org/10.1088/1361-6560/aaf5ed

Vancouver

Tang S, Sabonghy EP, Tauhidul Islam M, Shafeeq Shajudeen P, Chaudhry A, Tasciotti E et al. Assessment of the long bone inter-fragmentary gap size in ultrasound strain elastograms. Physics in Medicine and Biology. 2019 Jan 10;64(2). 025014. https://doi.org/10.1088/1361-6560/aaf5ed

Author

Tang, Songyuan ; Sabonghy, Eric P. ; Tauhidul Islam, Md ; Shafeeq Shajudeen, Peer ; Chaudhry, Anuj ; Tasciotti, Ennio ; Righetti, Raffaella. / Assessment of the long bone inter-fragmentary gap size in ultrasound strain elastograms. In: Physics in Medicine and Biology. 2019 ; Vol. 64, No. 2.

BibTeX

@article{a33d26ca17f54f55ba75fd8007a4db4d,
title = "Assessment of the long bone inter-fragmentary gap size in ultrasound strain elastograms",
abstract = "The inter-fragmentary gap size (IFGS) is a critical factor affecting the propensity of bone healing. In this paper, we present a study to analyze ultrasound strain elastographic numerical features in samples with distinct IFGS using both simulations and experiments. Six fractured rabbit hind leg samples in total were used in this study with controlled IFGS of 1 mm, 5 mm and 1 cm. For the simulation, computed tomography (CT) scans of all six samples were used to create solid models. Finite element analysis (FEA) and subsequent elastography simulations were performed on the 3D models to produce tensorial strain field data. Features of bony fragment separation were defined on different strain components and computed for strains segmented at varying thresholds to evaluate their performance in estimating the IFGS. A threshold for each strain component was then determined, based on which extra 3D features of interest were defined and extracted from the segmented strain data. Then, all 3D features were compared statistically among the three nominal groups. Additional simulations and experiments of axial shear strain elastography (ASSE) on the median coronal plane of the same samples were also performed. Our results indicate that coronal plane axial shear (CPAS) strain elastography produces a separation feature which is statistically correlated with the IFGS, and that our elastography simulation module is effective in predicting the CPAS elastographic strain behavior for different IFGS.",
keywords = "bone imaging, elastography, inter-fragmentary gap size, orthopedic biomechanics, ultrasound",
author = "Songyuan Tang and Sabonghy, {Eric P.} and {Tauhidul Islam}, Md and {Shafeeq Shajudeen}, Peer and Anuj Chaudhry and Ennio Tasciotti and Raffaella Righetti",
year = "2019",
month = "1",
day = "10",
doi = "10.1088/1361-6560/aaf5ed",
language = "English (US)",
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journal = "Physics in Medicine and Biology",
issn = "0031-9155",
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RIS

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T1 - Assessment of the long bone inter-fragmentary gap size in ultrasound strain elastograms

AU - Tang, Songyuan

AU - Sabonghy, Eric P.

AU - Tauhidul Islam, Md

AU - Shafeeq Shajudeen, Peer

AU - Chaudhry, Anuj

AU - Tasciotti, Ennio

AU - Righetti, Raffaella

PY - 2019/1/10

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N2 - The inter-fragmentary gap size (IFGS) is a critical factor affecting the propensity of bone healing. In this paper, we present a study to analyze ultrasound strain elastographic numerical features in samples with distinct IFGS using both simulations and experiments. Six fractured rabbit hind leg samples in total were used in this study with controlled IFGS of 1 mm, 5 mm and 1 cm. For the simulation, computed tomography (CT) scans of all six samples were used to create solid models. Finite element analysis (FEA) and subsequent elastography simulations were performed on the 3D models to produce tensorial strain field data. Features of bony fragment separation were defined on different strain components and computed for strains segmented at varying thresholds to evaluate their performance in estimating the IFGS. A threshold for each strain component was then determined, based on which extra 3D features of interest were defined and extracted from the segmented strain data. Then, all 3D features were compared statistically among the three nominal groups. Additional simulations and experiments of axial shear strain elastography (ASSE) on the median coronal plane of the same samples were also performed. Our results indicate that coronal plane axial shear (CPAS) strain elastography produces a separation feature which is statistically correlated with the IFGS, and that our elastography simulation module is effective in predicting the CPAS elastographic strain behavior for different IFGS.

AB - The inter-fragmentary gap size (IFGS) is a critical factor affecting the propensity of bone healing. In this paper, we present a study to analyze ultrasound strain elastographic numerical features in samples with distinct IFGS using both simulations and experiments. Six fractured rabbit hind leg samples in total were used in this study with controlled IFGS of 1 mm, 5 mm and 1 cm. For the simulation, computed tomography (CT) scans of all six samples were used to create solid models. Finite element analysis (FEA) and subsequent elastography simulations were performed on the 3D models to produce tensorial strain field data. Features of bony fragment separation were defined on different strain components and computed for strains segmented at varying thresholds to evaluate their performance in estimating the IFGS. A threshold for each strain component was then determined, based on which extra 3D features of interest were defined and extracted from the segmented strain data. Then, all 3D features were compared statistically among the three nominal groups. Additional simulations and experiments of axial shear strain elastography (ASSE) on the median coronal plane of the same samples were also performed. Our results indicate that coronal plane axial shear (CPAS) strain elastography produces a separation feature which is statistically correlated with the IFGS, and that our elastography simulation module is effective in predicting the CPAS elastographic strain behavior for different IFGS.

KW - bone imaging

KW - elastography

KW - inter-fragmentary gap size

KW - orthopedic biomechanics

KW - ultrasound

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