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Quantifying the material and structural determinants of bone strength

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M.L. Bouxsein, E. Seeman / Best Practice & Research Clinical Rheumatology 23 (2009) 741–753 747<br />

Fig. 5. Magnetic resonance image <strong>of</strong> <strong>the</strong> proximal femur. Image courtesy <strong>of</strong> Dr. Sharmila Majumdar, UCSF.<br />

There are currently no non-invasive techniques available for clinical use that assess <strong>bone</strong> matrix<br />

properties, such as <strong>the</strong> degree <strong>of</strong> mineralisation, collagen content <strong>and</strong>/or <strong>the</strong> degree <strong>of</strong> collagen crosslinking.<br />

Yet, one particularly novel aspect <strong>of</strong> MRI is that it may allow non-invasive assessment <strong>of</strong> <strong>bone</strong><br />

matrix properties in addition to <strong>bone</strong> structure. Solid-state MR imaging uses <strong>the</strong> resonant signals <strong>of</strong> <strong>the</strong><br />

phosphorus ( [31] P) constituent <strong>of</strong> <strong>the</strong> <strong>bone</strong> mineral phase to determine <strong>the</strong> mineral content <strong>of</strong> <strong>bone</strong><br />

[106–110]. Bone tissue mineral density measurements acquired through [31] P solid-state MR<br />

discriminate osteoporotic <strong>and</strong> osteomalacic animal models better than X-ray-based imaging methods<br />

[108]. Wu <strong>and</strong> colleagues[109] report that combined 31 P <strong>and</strong> 1 H water- <strong>and</strong> fat-suppressed solid-state<br />

imaging give MRI <strong>the</strong> unique ability to assess <strong>the</strong> organic <strong>and</strong> inorganic solid-phase densities <strong>of</strong> <strong>bone</strong>,<br />

as well as <strong>the</strong> solid <strong>bone</strong> matrix density (organic þ inorganic). Although 31 P solid-state MRI has been<br />

implemented in vivo with human subjects on a clinical 1.5 T system [111], solid-state MRI is still<br />

a research tool. Solid-state imaging may become an excellent tool for longitudinal <strong>bone</strong> tissue density<br />

evaluations (without consequence <strong>of</strong> radiation exposure), but currently, this method requires excessively<br />

long imaging times (w1 h or more), most studies have used non-clinical scanners with strong<br />

magnetic fields (4.7 T or greater) <strong>and</strong> custom-made coils. Thus, MRI is a non-ionising method that<br />

allows 3D assessment <strong>of</strong> cortical <strong>and</strong> trabecular <strong>bone</strong> structure. Image data can be acquired in any<br />

arbitrary axis with acquisition times <strong>of</strong> 10–15 min [88].<br />

Finite element analysis (FEA) based on QCT- or hr-pQCT images<br />

The finite element (FE) method was first applied to <strong>structural</strong> analysis in <strong>the</strong> 1950s, <strong>and</strong> it has since<br />

been widely used in nearly every engineering <strong>and</strong> engineering-related field. In solid <strong>and</strong> <strong>structural</strong><br />

mechanics (<strong>bone</strong> mechanics included), it is <strong>the</strong> method <strong>of</strong> choice for evaluating <strong>the</strong> how a structure<br />

with complex geometrical shape <strong>and</strong> heterogeneous distribution <strong>of</strong> <strong>material</strong> properties (e.g., a whole<br />

<strong>bone</strong>) behaves when subjected to external loads.<br />

The finite element approach begins by representing <strong>the</strong> object as a collection <strong>of</strong> building blocks, or<br />

elements, each <strong>of</strong> which is defined by reference points, or nodes. The FE method can provide ‘estimates’<br />

<strong>of</strong> quantities that are commonly obtained through mechanical testing (e.g., whole <strong>bone</strong> stiffness <strong>and</strong><br />

failure load), as well as quantities that are difficult, if not impossible, to measure experimentally<br />

(e.g., strain distribution). However, <strong>the</strong> ability <strong>of</strong> <strong>the</strong> finite element solution to approximate <strong>the</strong> actual<br />

biomechanical phenomenon depends on <strong>the</strong> quality <strong>of</strong> <strong>the</strong> input. For example, <strong>the</strong> choice <strong>of</strong> <strong>material</strong>

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