Abstract
Bone’s ability to respond to load-related phenomena and repair microdamage is achieved through the remodeling process, which renews bone by activating groups of cells known as basic multicellular units (BMUs). The products of BMUs, secondary osteons, have been extensively studied via classic two-dimensional techniques, which have provided a wealth of information on how histomorphology relates to skeletal structure and function. Remodeling is critical in maintaining healthy bone tissue; however, in osteoporotic bone, imbalanced resorption results in increased bone fragility and fracture. With increasing life expectancy, such degenerative bone diseases are a growing concern. The three-dimensional (3D) morphology of BMUs and their correlation to function, however, are not well-characterized and little is known about the specific mechanisms that initiate and regulate their activity within cortical bone. We believe a key limitation has been the lack of 3D information about BMU morphology and activity. Thus, this paper reviews methodologies for 3D investigation of cortical bone remodeling and, specifically, structures associated with BMU activity (resorption spaces) and the structures they create (secondary osteons), spanning from histology to modern ex vivo imaging modalities, culminating with the growing potential of in vivo imaging. This collection of papers focuses on the theme of “putting the ‘why’ back into bone architecture.” Remodeling is one of two mechanisms “how” bone structure is dynamically modified and thus an improved 3D understanding of this fundamental process is crucial to ultimately understanding the “why.”
Introduction
Bone tissue is three-dimensionally (3D) complex in structure and undergoes continual dynamic change. Despite its rigid structure, it is remarkable in its ability to adapt in response to mechanical stimuli associated with loading and to microdamage endured throughout life. Since Clopton Havers’ () description of “Haversian” canals and iconic works describing microscopic bone structure/function relationships (, ), it has been well appreciated that bone renews itself via the turnover of tissue, which we have come to know as “remodeling” (). Remodeling is critical for maintaining healthy bone tissue; however, it can also lead to age-related bone loss through an imbalance between osteoclastic (bone resorption) and osteoblastic (bone formation) activity. A progressive deficit in bone formation leads to enlarged osteonal canals and thus increased cortical porosity (–). Ultimately, this contributes to bone’s fragility which is characteristic of osteoporosis (, ). Related fractures are significant events in the lives of those afflicted and are frequently associated with serious complications and even mortality. With increasing life expectancy, osteoporosis and other degenerative diseases of bone are a growing concern for health care systems worldwide (). As such, study of the spatio-temporal regulation of remodeling is a topic of great significance within bone biology with the potential to impact many lives.
First described by Frost (), basic multicellular units (BMUs) are the cellular groups responsible for carrying out the remodeling process. In cortical bone, this is achieved through the localized resorption of a cylindrical space (osteoclastic “cutting cone”) followed by concentric infilling of new tissue (osteoblastic “closing cone”) (Figure 1). The resulting structure is referred to as a secondary osteon (synonymous with “Haversian system”). As BMUs organizationally lie between the level of the cell and that of the tissue, Frost referred to them as “intermediary” (). Despite decades of study, our understanding of the intermediary organization of bone remains rudimentary. BMUs are temporary collections of cells brought together to turnover a discrete packet of bone. Their course through bone tissue, their “behavior,” is challenging to directly probe, and thus much of our understanding has been inferred from osteon morphology. The orientations of secondary osteons appear to reflect principal stresses (–), and thus it has been hypothesized that the progression of BMUs is influenced by mechanical stimuli. This is not surprising as the two-dimensional (2D) geometry of secondary osteons has been linked to the function of the bones in which they are found (, ) and resultant mechanical strains (). Additional examples include intra-element regional (i.e., anterior, posterior, lateral, medial) variation in osteon morphology (, ) and a relation between osteon size and weight observed in humans (). To explain the link between mechanics and BMU orientation, computational (in silico) modeling has looked to stimuli such as localized strain () and strain-related fluid flow () around cutting cones. Such in silico models continue to become increasingly sophisticated, extending into the realm of simulation (). All models, however, have relied upon highly idealized BMU morphology, and it is unclear how compatible their findings are with the more complex 3D morphologies which have been reported.
Figure 1
Another hypothesis regarding BMU regulation holds that their activities are spatially “targeted” (
In sum, the capacity to directly test hypotheses related to regulation of BMU activity and/or the validation of in silico models is limited by a general lack of 3D data. Indeed, the activity of BMUs has largely been inferred from 2D observation of the secondary osteons they create. Our appreciation of the 3D structure of secondary osteons is similarly limited, and those data which are available (discussed below) consistently hint at greater structural complexity than commonly appreciated. Improving our 3D understanding of cortical bone microarchitecture would, thus, enhance our understanding of the remodeling process. As such, the objective of this paper is to provide an overview of methodologies for 3D investigation of cortical bone remodeling and, specifically, structures associated with BMU activity (resorption spaces) and the structures they create (secondary osteons). This review will survey a range of approaches spanning from histology to modern ex vivo imaging modalities, culminating with the growing potential of in vivo imaging. As such, it will span past, present, and emerging approaches. This collection of papers focuses on the theme of “putting the “why” back into bone architecture.” Remodeling is one of two mechanisms “how” bone structure is dynamically modified, and thus an improved 3D understanding of this fundamental process is crucial to ultimately understanding the “why.”
Past: Histological Approaches
Long before the advent of modern 3D imaging modalities [e.g., confocal microscopy, scanning electron microscopy, and microcomputed tomography (micro-CT)], traditional light microscopy yielded a wealth of information about bone microarchitecture. Early applications of light microscopy revealed remodeling-related structures including resorption spaces, mature osteons, and the canals within these osteons. The study of ground sections led to the first hypotheses pertaining to functional significance. Among the earliest of observations was a link between the extent of remodeling and age. Amprino and Bairati’s (
Serial sectioning can alleviate some of these issues associated with 2D histology. Multiple sections increase the amount of bone analyzed and provide direct insight into the 3D nature of microarchitecture. Cohen and Harris’ (
Despite its advantages, serial sectioning is challenging and thus only a few significant attempts to investigate cortical bone microstructure by this approach have been published (
Present: Ex Vivo Imaging
Since its introduction by Feldkamp et al. (
Figure 2

Left: reconstructed micro-CT image of landmarked BMUs in a black bear metacarpal; right: 3D render of bone diaphysis superimposed over BMUs. Diaphysis length = 31.84 mm.
Despite its many benefits, micro-CT has several limitations. For cortical bone, the most notable is that while some delineation of osteon borders is possible from laboratory systems (
Figure 3

3D reconstruction of a human femur section depicting BMUs and osteocyte lacunae acquired by SR micro-CT at a 1.47 µm resolution (
A limitation shared by both micro-CT and SR micro-CT is that, in general terms, higher resolution comes at the cost of field of view. A further related limitation is that as resolution increases, so does the radiation dose. Improving resolution by a factor of 2 requires a dose increase by a factor of 16 to maintain image quality in micro-CT (
Future: In vivo Imaging
A new generation of clinical research HR-pQCT scanners have given rise to a new opportunity for 3D, in vivo, characterization of human bone, both trabecular and cortical. With an isotropic voxel size of 82 μm, HR-pQCT has been at the forefront for micro-architectural analysis of the human appendicular skeleton (i.e., distal radius and tibia) (
Human-based studies are clearly an important avenue for study, but more mechanistic studies will require controlled model systems. When considering animal models – particularly smaller animals – the punishing relation between resolution and radiation dose complicates in vivo imaging. The risks associated with high X-ray doses are not only harmful to a living subject in an acute sense, they include the potential to alter bone structure, leading to osteopenia, growth arrest, fracture, and malignancy (
Several forms of phase contrast imaging, including in-line phase contrast, diffraction-enhanced imaging, and interferometer-based imaging, have been increasingly explored for their potential utilization in biomedical applications. An excellent overview of these methodologies is provided by Zhou and Brahme (
Figure 4

(A) Schematic of attenuation based X-ray imaging where images are produced based on the degree of absorption relative to an object’s internal structure. (B) Schematic of in-line phase-contrast imaging based on an object’s refractive properties. As X-rays target an object at different angles, variations in the object’s internal structure will refract the X-rays and cause a shift in the light wave as it propagates through and increasing the object-to-detector distance will produce a contrast image (
Our group recently tested the feasibility of in-line phase contrast SR micro-CT for imaging the cortical porosity in the forelimb of rats with radiation doses comparable to those commonly employed in vivo for imaging trabecular microarchitecture (
In a proof-of-principle study, ex vivo data collected at the biomedical imaging and therapy (BMIT) facility of the Canadian light source (CLS) synchrotron were compared against laboratory micro-CT protocols and their related doses. Studying rat forelimbs, it was found that SR provided superior detection of cortical pores without a substantial increase in dose (11.8 μm voxels, 2.53 Gy) beyond that used in the laboratory systems (18 μm voxels, 1.2–1.5 Gy; 9 μm voxels, 11.7–18.2 Gy) (
Figure 5

Reconstructed slices of rat forelimbs depicting visualization of cortical porosity based on the imaging system used: (A)in vivo laboratory SkyScan 1176 micro-CT (18 μm, 1.2–1.5 Gy dose), (B) in vivo synchrotron micro-CT slice measured using the C4742-56-12HR camera (11.8 μm, 2.53 Gy dose), (C) in vivo laboratory SkyScan 1176 (9 μm, 11.7–18.2 Gy dose) (
Figure 6

Images showing in vivo matched scans of a rat forelimb acquired with SR micro-CT (11.8 μm, 2.53 Gy). Scan (B) was carried out two weeks after scan (A) on the same rat’s forelimb. Image (C) is an enlarged section of image (B) (red rectangle) displaying new remodeling events (red arrows).
Synchrotron radiation micro-CT, taking advantage of in-line phase contrast, has brought about a new opportunity for in vivo imaging to directly test causative hypotheses relating to cortical bone remodeling; however, it too is not without its limitations. Access to synchrotrons is inherently limited due to the relative scarcity of such facilities and, in particular, those with biomedical-focused facilities capable of imaging live animals. Even with the high resolution afforded by SR micro-CT and the ability to minimize dose through use of in-line phase contrast imaging, some structures such as osteon borders and microcracks are not observable, in vivo. Indeed, such structures remain challenging to image ex vivo, requiring very high-resolution systems. Movement artifacts are problematic as the difficulty in holding the animal perfectly still increases along with resolution. The smallest of the standard animal models (e.g., mice and rats) have the further drawback of not exhibiting much, if any, natural cortical remodeling – although it can be induced by experimental means [e.g., fatigue loading in the rat (
Conclusion
The remodeling process, carried out by the activity of BMUs, is of great interest to the bone biology community. This process represents the primary means of skeletal change after maturity and lies at the root of many chronic bone diseases, including osteoporosis. Visualization of cortical bone microarchitecture and, specifically, the remodeling process have progressed from 2D histological analysis through ex vivo 3D imaging and now to in vivo 3D analysis. This progression has paralleled but lagged behind visualization of trabecular bone microarchitecture due to the smaller scale of the target features and the need for high resolution which suffers the complication of increased radiation dose for X-ray based imaging. An important consideration is the caveat that while this progression involves a decreasing level of sample destruction/invasiveness, there is a trade off in terms of the structures one can visualize. The imaging approaches are best suited to detection of porosity. Thus, for some applications, histology (serial or otherwise) remains the most powerful or possibly only approach available. That said, there is a great potential to combine the strengths of these approaches – fusing 2D and 3D imaging to maximize the information available. This will enable targeted histology – directed by imaging data. Looking to the near future, we believe that this approach will see application in direct testing of hypotheses related to the regulation of BMU activity – including questions related to steering/orientation, the role of microcracks, and the relation to other stimuli, including possibly cellular signals. Such data will, in turn, prove invaluable for validating in silico models – an area of increasing focus in bone biology. Ultimately, we believe the novel insights possible through 3D data will shed significant new light on the “how” of bone aging, adaptation, and disease. Understanding the “how” is critical to understand the “why.”
Statements
Acknowledgments
The authors thank the organizers of this topic, Drs. Phil Salmon, Daniel Chappard, and Andrew Pitsillides. The authors would also like to thank: the Canadian Light Source BMIT line staff, particularly Drs. George Belev, Ning Zhu, and Adam Webb, Dr. Melanie van Der Loop, and staff of the University of Saskatchewan’s Laboratory Animal Services Unit, and the support of Dr. Mike Doschak of the Pharmaceutical Orthopedic Research Lab at the University of Alberta, and the contributions of Dr. Dean Chapman, Dr. Yasmin Carter, Isaac Pratt, and Danielle Kabatoff. Finally, the authors thank Ms. Suyoko Tsukamoto for providing black bear bone samples (MB Conservation WBO8992). Support for this research was provided by the Natural Sciences and Engineering Research Council (NSERC) of Canada via a Discovery Grant to DMLC (RGPIN-2014-05563) and the Canadian Foundation for Innovation and Canada Research Chairs program. KH is supported by the University of Saskatchewan, College of Medicine, and is a CIHR-THRUST Fellow.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
References
1
HaversC. Osteologia Nova, or, Some New Observations of the Bones and the Parts Belonging to them, with the Manner of their Accretion, and Nutrition, Communicated to the Royal Society in Several Discourses. Ann Arbor, MI: University Microfilms International (1691).
2
TomesJMorganCD. Observations on the structure and development of bone. Philos Trans R Soc Lond B Biol Sci (1853) 143:109–39.10.1098/rstl.1853.0004
3
WolffJ. Das Gesetz der Transformation der Knochen. Berlin: Hirschwald Verlag (1892).
4
JohnsonL. Morphologic analysis of pathology. In: FrostH, editor. Bone Biodynamics. Boston, MA: Little, Brown, and Company (1964), 543–54.
5
RauchFTraversRGlorieuxFH. Intracortical remodeling during human bone development – a histomorphometric study. Bone (2007) 40:274–80.10.1016/j.bone.2006.09.012
6
CooperDMThomasCDClementJGTurinskyALSensenCWHallgrímssonB. Age-dependent change in the 3D structure of cortical porosity at the human femoral midshaft. Bone (2007) 40:957–65.10.1016/j.bone.2006.11.011
7
RochefortGY. The osteocyte as a therapeutic target in the treatment of osteoporosis. Ther Adv Musculoskelet Dis (2014) 6:79–91.10.1177/1759720X14523500
8
Torres-Del-PliegoEVilaplanaLGuerri-FernandezRDiez-PerezA. Measuring bone quality. Curr Rheumatol Rep (2013) 15:373.10.1007/s11926-013-0373-8
9
BorahBGrossGJDufresneTESmithTSCockmanMDChmielewskiPAet alThree-dimensional microimaging (MRmicroI and microCT), finite element modeling, and rapid prototyping provide unique insights into bone architecture in osteoporosis. Anat Rec (2001) 265:101–10.10.1002/ar.1060
10
FrostHM. Tetracycline-based histological analysis of bone remodeling. Calcif Tissue Res (1969) 3:211–37.10.1007/BF02058664
11
FrostHM. The skeletal intermediary organization. Metab Bone Dis Relat Res (1983) 4:281–90.10.1016/S0221-8747(83)80001-0
12
HertJFialaPPetrtylM. Osteon orientation of the diaphysis of the long bones in man. Bone (1994) 15:269–77.10.1016/8756-3282(94)90288-7
13
PetrtylMHertJFialaP. Spatial organization of the haversian bone in man. J Biomech (1996) 29:161–9.10.1016/0021-9290(94)00035-2
14
BasillaisABensamounSChappardCBrunet-ImbaultBLemineurGIlharrebordeBet alThree-dimensional characterization of cortical bone microstructure by microcomputed tomography: validation with ultrasonic and microscopic measurements. J Orthop Sci (2007) 12:141–8.10.1007/s00776-006-1104-z
15
MartinRB. Targeted bone remodeling involves BMU steering as well as activation. Bone (2007) 40:1574–80.10.1016/j.bone.2007.02.023
16
BurrDBMartinRBSchafflerMBRadinEL. Bone remodeling in response to in vivo fatigue microdamage. J Biomech (1985) 18:189–200.10.1016/0021-9290(85)90204-0
17
SkedrosJGSybrowskyCLAndersonWEChowF. Relationships between in vivo microdamage and the remarkable regional material and strain heterogeneity of cortical bone of adult deer, elk, sheep and horse calcanei. J Anat (2011) 219:722–33.10.1111/j.1469-7580.2011.01428.x
18
SkedrosJGSybrowskyCLParryTRBloebaumRD. Regional differences in cortical bone organization and microdamage prevalence in Rocky Mountain mule deer. Anat Rec A Discov Mol Cell Evol Biol (2003) 274:837–50.10.1002/ar.a.10102
19
JudexSGrossTSZernickeRF. Strain gradients correlate with sites of exercise-induced bone-forming surfaces in the adult skeleton. J Bone Miner Res (1997) 12:1737–45.10.1359/jbmr.1997.12.10.1737
20
MartinRBGibsonVAStoverSMGibelingJCGriffinsLV. Osteonal structure in the equine third metacarpus. Bone (1996) 19:165–71.10.1016/8756-3282(96)00167-6
21
SkedrosJGMendenhallSDKiserCJWinetH. Interpreting cortical bone adaptation and load history by quantifying osteon morphotypes in circularly polarized light images. Bone (2009) 44:392–403.10.1016/j.bone.2008.10.053
22
BritzHMThomasCDClementJGCooperDM. The relation of femoral osteon geometry to age, sex, height and weight. Bone (2009) 45:77–83.10.1016/j.bone.2009.03.654
23
SmitTHBurgerEH. Is BMU-coupling a strain-regulated phenomenon? A finite element analysis. J Bone Miner Res (2000) 15:301–7.10.1359/jbmr.2000.15.2.301
24
BurgerEHKlein-NulendJSmitTH. Strain-derived canalicular fluid flow regulates osteoclast activity in a remodelling osteon – a proposal. J Biomech (2003) 36:1453–9.10.1016/S0021-9290(03)00126-X
25
van OersRFRuimermanRVan RietbergenBHilbersPAHuiskesR. Relating osteon diameter to strain. Bone (2008) 43:476–82.10.1016/j.bone.2008.05.015
26
MartinRB. Is all cortical bone remodeling initiated by microdamage?Bone (2002) 30:8–13.10.1016/S8756-3282(01)00620-2
27
ParfittAM. Targeted and nontargeted bone remodeling: relationship to basic multicellular unit origination and progression. Bone (2002) 30:5–7.10.1016/S8756-3282(01)00642-1
28
BurrDBRoblingAGTurnerCH. Effects of biomechanical stress on bones in animals. Bone (2002) 30:781–6.10.1016/S8756-3282(02)00707-X
29
EhrlichPJLanyonLE. Mechanical strain and bone cell function: a review. Osteoporos Int (2002) 13:688–700.10.1007/s001980200095
30
RyserMDNigamNKomarovaSV. Mathematical modeling of spatio-temporal dynamics of a single bone multicellular unit. J Bone Miner Res (2009) 24:860–70.10.1359/jbmr.081229
31
BentolilaVBoyceTMFyhrieDPDrumbRSkerryTMSchafflerMB. Intracortical remodeling in adult rat long bones after fatigue loading. Bone (1998) 23:275–81.10.1016/S8756-3282(98)00104-5
32
AmprinoRBairatiA. Processi di ricostruzione e di riassorbimento nella sostanza compatta delle ossa dell’uomo. Z Zellforsch Mikrosk Anat (1936) 24:439–511.10.1007/BF02462416
33
ParfittAMMathewsCHVillanuevaARKleerekoperMFrameBRaoDS. Relationships between surface, volume, and thickness of iliac trabecular bone in aging and in osteoporosis. Implications for the microanatomic and cellular mechanisms of bone loss. J Clin Invest (1983) 72:1396–409.10.1172/JCI111096
34
CooperDMThomasCDClementJGHallgrimssonB. Three-dimensional microcomputed tomography imaging of basic multicellular unit-related resorption spaces in human cortical bone. Anat Rec A Discov Mol Cell Evol Biol (2006) 288:806–16.10.1002/ar.a.20344
35
StoutSDBrunsdenBSHildeboltCFCommeanPKSmithKETappenNC. Computer-assisted 3D reconstruction of serial sections of cortical bone to determine the 3D structure of osteons. Calcif Tissue Int (1999) 65:280–4.10.1007/s002239900699
36
MartinRB. On the histologic measurement of osteonal BMU activation frequency. Bone (1994) 15:547–9.10.1016/8756-3282(94)90279-8
37
FrostHM. Mathematical Elements of Lamellar Bone Remodeling. Springfield, IL: Charles C. Thomas (1964).
38
FrostH. Presence of microscopic cracks in vivo in bone. Henry Ford Hosp Med Bull (1960) 8:35.
39
LeeTCMohsinSTaylorDParkeshRGunnlaugssonTO’BrienFJet alDetecting microdamage in bone. J Anat (2003) 203:161–72.10.1046/j.1469-7580.2003.00211.x
40
PresbiteroGO’BrienFJLeeTCTaylorD. Distribution of microcrack lengths in bone in vivo and in vitro. J Theor Biol (2012) 304:164–71.10.1016/j.jtbi.2012.03.027
41
ThurnerPJWyssPVoideRStauberMStampanoniMSennhauserUet alTime-lapsed investigation of three-dimensional failure and damage accumulation in trabecular bone using synchrotron light. Bone (2006) 39:289–99.10.1016/j.bone.2006.01.147
42
LarrueARattnerAPeterZAOlivierCLarocheNVicoLet alSynchrotron radiation micro-CT at the micrometer scale for the analysis of the three-dimensional morphology of microcracks in human trabecular bone. PLoS One (2011) 6:e21297.10.1371/journal.pone.0021297
43
VoideRSchneiderPStauberMWyssPStampanoniMSennhauserUet alTime-lapsed assessment of microcrack initiation and propagation in murine cortical bone at submicrometer resolution. Bone (2009) 45:164–73.10.1016/j.bone.2009.04.248
44
CohenJHarrisWH. The three-dimensional anatomy of haversian systems. J Bone Joint Surg Am (1958) 40:419–34.
45
TappenNC. Three dimensional studies of resorption spaces and developing osteons. Am J Anat (1977) 149:301–17.10.1002/aja.1001490302
46
SkedrosJGSorensonSMJensonNH. Are distributions of secondary osteon variants useful for interpreting load history in mammalian bones?Cells Tissues Organs (2007) 185:285–307.10.1159/000102176
47
FeldkampLAGoldsteinSAParfittMAJesionGKleerekoperM. The direct examination of three-dimensional bone architecture in vitro by computed tomography. J Bone Miner Res (1989) 4:3–11.10.1002/jbmr.5650040103
48
CooperDMTurinskyALSensenCWHallgrimssonB. Quantitative 3D analysis of the canal network in cortical bone by micro-computed tomography. Anat Rec B New Anat (2003) 274:169–79.10.1002/ar.b.10024
49
BritzHMJokihaaraJLeppanenOVJarvinenTCooperDM. 3D visualization and quantification of rat cortical bone porosity using a desktop micro-CT system: a case study in the tibia. J Microsc (2010) 240:32–7.10.1111/j.1365-2818.2010.03381.x
50
PazzagliaUEZarattiniGGiacominiDRodellaLMentiAMFeltrinG. Morphometric analysis of the canal system of cortical bone: an experimental study in the rabbit femur carried out with standard histology and micro-CT. Anat Histol Embryol (2010) 39:17–26.10.1111/j.1439-0264.2009.00973.x
51
ChenHZhouXShoumuraSEmuraSBunaiY. Age- and gender-dependent changes in three-dimensional microstructure of cortical and trabecular bone at the human femoral neck. Osteoporos Int (2010) 21:627–36.10.1007/s00198-009-0993-z
52
Palacio-ManchenoPELarrieraAIDotySBCardosoLFrittonSP. 3D assessment of cortical bone porosity and tissue mineral density using high-resolution microCT: effects of resolution and threshold method. J Bone Miner Res (2014) 29:142–50.10.1002/jbmr.2012
53
BoussonVPeyrinFBergotCHausardMSautetALaredoJ-D. Cortical bone in the human femoral neck: three-dimensional appearance and porosity using synchrotron radiation. J Bone Miner Res (2004) 19:794–801.10.1359/jbmr.040124
54
HarrisonKTsukamotoSCooperDML. Abstracts – AAPA presentations. Am J Phys Anthropol (2014) 153:64–283.
55
ArhatariBDCooperDMThomasCDClementJGPeeleAG. Imaging the 3D structure of secondary osteons in human cortical bone using phase-retrieval tomography. Phys Med Biol (2011) 56:5265–74.10.1088/0031-9155/56/16/012
56
DalstraMKarajEBeckmannFAndersenTCattaneoPM. Osteonal mineralization patterns in cortical bone studied by synchrotron-radiation-based computed microtomography and scanning acoustic microscopy. In BonseU editor, Developments in X-ray Tomography IV Proc. of SPIE, Vol. 5535. Bellingham: SPIE (2004). p. 143–51.
57
CooperDMEricksonBPeeleAGHannahKThomasCDClementJG. Visualization of 3D osteon morphology by synchrotron radiation micro-CT. J Anat (2011) 219:481–9.10.1111/j.1469-7580.2011.01398.x
58
CarterYThomasCDClementJGPeeleAGHannahKCooperDM. Variation in osteocyte lacunar morphology and density in the human femur – a synchrotron radiation micro-CT study. Bone (2013) 52:126–32.10.1016/j.bone.2012.09.010
59
LangerMPacureanuASuhonenHGrimalQCloetensPPeyrinF. X-ray phase nanotomography resolves the 3D human bone ultrastructure. PLoS One (2012) 7:e35691.10.1371/journal.pone.0035691
60
SchneiderPStauberMVoideRStampanoniMDonahueLRMüllerR. Ultrastructural properties in cortical bone vary greatly in two inbred strains of mice as assessed by synchrotron light based micro- and nano-CT. J Bone Miner Res (2007) 22:1557–70.10.1359/jbmr.070703
61
VoideRSchneiderPStauberMVan LentheGHStampanoniMMullerR. The importance of murine cortical bone microstructure for microcrack initiation and propagation. Bone (2011) 49:1186–93.10.1016/j.bone.2011.08.011
62
ChristenDLevchukASchoriSSchneiderPBoydSKMüllerR. Deformable image registration and 3D strain mapping for the quantitative assessment of cortical bone microdamage. J Mech Behav Biomed Mater (2012) 8:184–93.10.1016/j.jmbbm.2011.12.009
63
FordNLThorntonMMHoldsworthDW. Fundamental image quality limits for microcomputed tomography in small animals. Med Phys (2003) 30:2869–77.10.1118/1.1617353
64
BritzHMCarterYJokihaaraJLeppänenOVJärvinenTLBelevGet alProlonged unloading in growing rats reduces cortical osteocyte lacunar density and volume in the distal tibia. Bone (2012) 51:913–9.10.1016/j.bone.2012.08.112
65
MaderKSSchneiderPMullerRStampanoniM. A quantitative framework for the 3D characterization of the osteocyte lacunar system. Bone (2013) 57:142–54.10.1016/j.bone.2013.06.026
66
TurnbullTLGargacJANieburGLRoederRK. Detection of fatigue microdamage in whole rat femora using contrast-enhanced micro-computed tomography. J Biomech (2011) 44:2395–400.10.1016/j.jbiomech.2011.06.032
67
LengHWangXRossRDNieburGLRoederRK. Micro-computed tomography of fatigue microdamage in cortical bone using a barium sulfate contrast agent. J Mech Behav Biomed Mater (2008) 1:68–75.10.1016/j.jmbbm.2007.06.002
68
LandriganMDLIJTurnbullTLBurrDBNieburGLRoederRK. Contrast-enhanced micro-computed tomography of fatigue microdamage accumulation in human cortical bone. Bone (2011) 48:443–50.10.1016/j.bone.2010.10.160
69
BurghardtAJBuieHRLaibAMajumdarSBoydSK. Reproducibility of direct quantitative measures of cortical bone microarchitecture of the distal radius and tibia by HR-pQCT. Bone (2010) 47:519–28.10.1016/j.bone.2010.05.034
70
JorgensonBLBuieHRMcerlainDDSandinoCBoydSK. A comparison of methods for in vivo assessment of cortical porosity in the human appendicular skeleton. Bone (2015) 73:167–75.
71
MacDonaldHMNishiyamaKKHanleyDABoydSK. Changes in trabecular and cortical bone microarchitecture at peripheral sites associated with 18 months of teriparatide therapy in postmenopausal women with osteoporosis. Osteoporosis International (2011) 22:357–62.
72
EngelkeKLibanatiCFuerstTZyssetPGenantHK. Advanced CT based in vivo methods for the assessment of bone density, structure, and strength. Curr Osteoporos Rep (2013) 11:246–55.10.1007/s11914-013-0147-2
73
PachecoRStockH. Effects of radiation on bone. Curr Osteoporos Rep (2013) 11:299–304.10.1007/s11914-013-0174-z
74
LaperreKDepypereMvan GastelNTorrekensSMoermansKBogaertsRet alDevelopment of micro-CT protocols for in vivo follow-up of mouse bone architecture without major radiation side effects. Bone (2011) 49:613–22.10.1016/j.bone.2011.06.031
75
KlinckRJCampbellGMBoydSK. Radiation effects on bone architecture in mice and rats resulting from in vivo micro-computed tomography scanning. Med Eng Phys (2008) 30:888–95.10.1016/j.medengphy.2007.11.004
76
ZhouS-ABrahmeA. Development of phase-contrast X-ray imaging techniques and potential medical applications. Phys Med (2008) 24:129–48.10.1016/j.ejmp.2008.05.006
77
ArfelliFAssanteMBonviciniVBravinACantatoreGCastelliEet alLow-dose phase contrast x-ray medical imaging. Phys Med Biol (1998) 43:2845.10.1088/0031-9155/43/10/013
78
PrattIVBelevGZhuNChapmanLDCooperDM. In vivo imaging of rat cortical bone porosity by synchrotron phase contrast micro computed tomography. Phys Med Biol (2015) 60:211–32.10.1088/0031-9155/60/1/211
79
CarterYThomasCDClementJGCooperDM. Femoral osteocyte lacunar density, volume and morphology in women across the lifespan. J Struct Biol (2013) 183:519–26.10.1016/j.jsb.2013.07.004
80
CarterYSuchorabJLThomasCDClementJGCooperDM. Normal variation in cortical osteocyte lacunar parameters in healthy young males. J Anat (2014) 225:328–36.10.1111/joa.12213
81
KinneyJHLaneNEHauptDL. In vivo, three-dimensional microscopy of trabecular bone. J Bone Miner Res (1995) 10:264–70.10.1002/jbmr.5650100213
82
BayatSApostolLBollerEBrochardTPeyrinF. In vivo imaging of bone micro-architecture in mice with 3D synchrotron radiation micro-tomography. Nucl Instrum Methods Phys Res A (2005) 548:247–52.10.1016/j.nima.2005.03.097
83
MatsumotoTNishikawaKTanakaMUesugiK. In vivo CT quantification of trabecular bone dynamics in mice after sciatic neurectomy using monochromatic synchrotron radiation. Calcif Tissue Int (2011) 88:432–41.10.1007/s00223-011-9475-3
84
CoanPWagnerABravinADiemozPCKeyriläinenJMollenhauerJ. In vivo x-ray phase contrast analyzer-based imaging for longitudinal osteoarthritis studies in guinea pigs. Phys Med Biol (2010) 55:7649.10.1088/0031-9155/55/24/017
85
WaarsingJHDayJSVan der LindenJCEderveenAGSpanjersCDe ClerckNet alDetecting and tracking local changes in the tibiae of individual rats: a novel method to analyse longitudinal in vivo micro-CT data. Bone (2004) 34:163–9.10.1016/j.bone.2003.08.012
86
CampbellGOminskyMBoydS. Bone quality is partially recovered after the discontinuation of RANKL administration in rats by increased bone mass on existing trabeculae: an in vivo micro-CT study. Osteoporos Int (2011) 22:931–42.10.1007/s00198-010-1283-5
87
BrouwersJEvan RietbergenBHuiskesR. No effects of in vivo micro-CT radiation on structural parameters and bone marrow cells in proximal tibia of wistar rats detected after eight weekly scans. J Orthop Res (2007) 25:1325–32.10.1002/jor.20439
Summary
Keywords
basic multicellular unit, bone, remodeling, micro-CT, synchrotron
Citation
Harrison KD and Cooper DML (2015) Modalities for Visualization of Cortical Bone Remodeling: The Past, Present, and Future. Front. Endocrinol. 6:122. doi: 10.3389/fendo.2015.00122
Received
03 February 2015
Accepted
24 July 2015
Published
11 August 2015
Volume
6 - 2015
Edited by
Phil Salmon, Bruker-microCT, Belgium
Reviewed by
Paul Zaslansky, Charité Hospital, Germany; Kostas Verdelis, University of Pittsburgh, USA
Copyright
© 2015 Harrison and Cooper.
This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: David M. L. Cooper, Department of Anatomy and Cell Biology, University of Saskatchewan, 107 Wiggins Road, Saskatoon, SK S7N 5E5, Canada, dml.cooper@usask.ca
Specialty section: This article was submitted to Bone Research, a section of the journal Frontiers in Endocrinology
Disclaimer
All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.