Synchrotron radiation CT methods for 3D quantitative assessment of mechanically relevant ultrastructural properties in murine bone
Synchrotron radiation CT methods for 3D quantitative assessment of mechanically relevant ultrastructural properties in murine bone
Recent data have shown that predicting bone strength can be greatly improved by including microarchitectural parameters in the analysis. Moreover, bone ultrastructure has been implicated as an important contributor to bone strength. We therefore hypothesized that a better understanding of phenotypes linked to bone ultrastructure will provide new insight in the assessment of bone quality and its contribution to bone strength and fracture risk. Therefore, we first developed an experimental design to assess quantitatively ultrastructural murine bone tissue properties non-invasively in three dimensions by using synchrotron radiation-based (SR) computed tomography (CT) methods with resolutions on the order of one micrometer and below. New morphometric indices were introduced to quantify ultrastructural phenotypes of murine cortical bone assessed by our SR CT-based setup, namely the canal network and the osteocyte lacunar system. These ultrastructural phenotypes were then successfully studied in two genetically distinct mouse strains. Finally, we provided strong evidence for a significant influence of the canal network on murine bone mechanics. In the long run, we believe that the morphometric analysis of the ultrastructural phenotypes and the study of bone phenotypes at different hierarchy levels, in conjunction with bone mechanics, will provide new insights in the assessment of bone quality.
691619
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
Voide, Romain
8859d4cc-c065-4034-b350-0538997ce8fe
Stampanoni, Marco
bfedb3b0-01e8-4e1b-9163-41295b4ceeb1
Müller, Ralph
f881853a-540f-48f1-bb6d-e0cf1894e036
Hu, Xiaoping P.
0a0ac777-86a5-4984-b9cf-e2e9349686b3
Clough, Anne V.
700c9361-0380-4e38-a78b-db5305334859
12 March 2008
Schneider, Philipp
a810f925-4808-44e4-8a4a-a51586f9d7ad
Voide, Romain
8859d4cc-c065-4034-b350-0538997ce8fe
Stampanoni, Marco
bfedb3b0-01e8-4e1b-9163-41295b4ceeb1
Müller, Ralph
f881853a-540f-48f1-bb6d-e0cf1894e036
Hu, Xiaoping P.
0a0ac777-86a5-4984-b9cf-e2e9349686b3
Clough, Anne V.
700c9361-0380-4e38-a78b-db5305334859
Schneider, Philipp, Voide, Romain, Stampanoni, Marco and Müller, Ralph
,
Hu, Xiaoping P. and Clough, Anne V.
(eds.)
(2008)
Synchrotron radiation CT methods for 3D quantitative assessment of mechanically relevant ultrastructural properties in murine bone.
Medical Imaging 2008: Physiology, Function, and Structure from Medical Images, .
(doi:10.1117/12.772668).
Abstract
Recent data have shown that predicting bone strength can be greatly improved by including microarchitectural parameters in the analysis. Moreover, bone ultrastructure has been implicated as an important contributor to bone strength. We therefore hypothesized that a better understanding of phenotypes linked to bone ultrastructure will provide new insight in the assessment of bone quality and its contribution to bone strength and fracture risk. Therefore, we first developed an experimental design to assess quantitatively ultrastructural murine bone tissue properties non-invasively in three dimensions by using synchrotron radiation-based (SR) computed tomography (CT) methods with resolutions on the order of one micrometer and below. New morphometric indices were introduced to quantify ultrastructural phenotypes of murine cortical bone assessed by our SR CT-based setup, namely the canal network and the osteocyte lacunar system. These ultrastructural phenotypes were then successfully studied in two genetically distinct mouse strains. Finally, we provided strong evidence for a significant influence of the canal network on murine bone mechanics. In the long run, we believe that the morphometric analysis of the ultrastructural phenotypes and the study of bone phenotypes at different hierarchy levels, in conjunction with bone mechanics, will provide new insights in the assessment of bone quality.
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More information
Published date: 12 March 2008
Venue - Dates:
Medical Imaging 2008: Physiology, Function, and Structure from Medical Images, San Diego, United States, 2008-02-16 - 2008-02-21
Organisations:
Faculty of Engineering and the Environment
Identifiers
Local EPrints ID: 361062
URI: http://eprints.soton.ac.uk/id/eprint/361062
PURE UUID: 82f19e0b-31d3-4ea6-bc20-4dd679789f86
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Date deposited: 13 Jan 2014 11:38
Last modified: 15 Mar 2024 03:48
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Contributors
Author:
Romain Voide
Author:
Marco Stampanoni
Author:
Ralph Müller
Editor:
Xiaoping P. Hu
Editor:
Anne V. Clough
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