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ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

ARUP; ISBN: 978-0-9562121-5-3 - CMBBE 2012 - Cardiff University

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interaction. Previous studies on this subject lacked the trabecular architecture and<br />

usually used very simplified geometry [3, 4]. Our aim is to introduce more complex<br />

model which includes the detailed trabecular architecture and which is in this respect<br />

much closer to the reality than ever before.<br />

In assessing the implant/bone interaction one has to deal with the fact that no criteria<br />

have been formulated yet. The aim of this paper is not to develop such a criterion,<br />

nevertheless the applicability of the model and also results of the calculations should be<br />

somehow assessed. For this purpose, mechanical quantities such as implant<br />

displacements and bone strains will be analyzed, and the latter also compared to<br />

physiological values introduced by Frost in his Mechanostat hypothesis [5].<br />

2. MATERIALS AND METHODS<br />

The computational model proposed for the implant/bone interaction assessment<br />

basically consists of four parts: Model of geometry, model of material properties, model<br />

of loading, and model of boundary conditions. In this paper, the most complex and also<br />

the most novel is the model of geometry which is based on the modern visualization<br />

methods, specifically the µCT device.<br />

The conventional CT devices with a typical spatial resolution of 0.2 -5 mm do not allow<br />

visualization of the complex trabecular architecture. In order to get the geometry model<br />

of the cancellous bone tissue including this architecture the µCT device must be used<br />

(resolution 1-100 µm). Fig. 1 demonstrates the difference between a conventional CT<br />

image (pixel size of 295x295µm 2 ) and a µCT image (pixel size of 16x16µm 2 ) of the<br />

same bone at the specific region of a human mandible. The inner structure of the<br />

cancellous bone is poorly distinguishable via the conventional CT while the µCT<br />

provides fundamentally better image quality which makes the trabecular architecture<br />

clearly recognizable.<br />

Two series of images of mandible segments were made using the µCT device (GE 130<br />

keV 76mA). The 6mm-thick segments were taken from two cadavers. These segments<br />

represent the left premolar region with healed alveolar processes after a tooth extraction;<br />

this is the typical state allowing the implant application. These two bone segments differ<br />

in bone density which is quantified here by the bone volume fraction (BVF). BVF of the<br />

analyzed segments are 0.145±0.036 and 0.377±0.056. The first segment has relatively<br />

poor bone density which is caused by long-range bone atrophy. The second one can be<br />

classified as bone with a normal bone density.<br />

6 mm<br />

a) b) c) d)<br />

Fig. 1. a) CT image; b) µCT image; c) Model (BVF=0.149); b) Model: (BVF=0.377)<br />

The µCT slices were preserved as TIFF files, and were imported into an image

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