Abstract
Purpose
We present a new, hybrid visualization method that can assist in assessing the degree of osseointegration of dental implants.
Method
The method is based on radiographic imaging, three-dimensional (3-D) volume reconstruction, and color coding of bone density. It provides both a 3-D image of the titanium implant and the implant site, and a two-dimensional (2-D) profile of the lingual and buccal sides of the implant, exposing possible weaknesses in the supporting bone structure. The visualization procedure described here consists of 2-D cross-sectional CT imaging, 3-D gradient-based hardware-accelerated volume rendering using 3-D texture mapping, implant site extraction using 3-D selection of a 2-D cross-sectional, tri-linearly interpolated 2-D image, computation of a bone density profile and line integral along the implant, and 3-D hybrid rendering of the implant site and the derived bone density information in its anatomical context. This method has been demonstrated to be successful in enabling the mapping of information derived from virtual bone density measurements onto a geometric object, thus providing the necessary information to relate other information from mechanical testing or simulations to the respective site.
Results
A high-resolution scan of a cadaver was used as a reference data set. The hybrid view, a combination of 2-D density profile and 3-D color-coded density rendering, turned out to be very intuitive and easy to interpret. The 2-D view was also useful for relating standard 2-D X-ray imaging with enhanced 3-D imaging of bone density. On top of this, our image-based method was used for cross-validation of a mechanical testing method. It turned out that the results from mechanical testing of osseointegration were very well correlated with the results from our image-based 2-D and 3-D methods.
Conclusions
Since these two methods work in completely different ways (mechanical vs. radiographic) and the results came out are the same, the results provide evidence that both methods for assessing the degree and location of osseointegration are valid. Further studies using additional scans on living subjects will be conducted to provide additional evidence. Cost-efficient X-ray imaging can be used to replace the simulated implant-aligned 2-D X-ray views that were obtained from a 3-D scan.
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References
Gapski R, Wang H-L, Mascarenchas P, Lang NP (2003) Critical review of immediate implant loading. Clin Oral Implant Res 14: 515
Vazquez L (2009) Osseointegration of dental implants inserted in non sterile operating conditions: a 12-year prospective evaluation of more than 9000 implants. In: Proceedings of the academy of osseointegration 2009 annual meeting: “A new wave in implant therapy”, San Diego, 26–28 February 2009
Forwood MR, Turner CH (1995) Skeletal adaptations to mechanical usage: results from tibial loading studies in rats. Bone 17: 1975
Robling AG, Duijevelaar KM, Geevers JV, Ohashi N, Turner CH (2001) Modulation of longitudinal and appositional bone growth in the rat ulna by applied mechanical force. Bone 29: 105
VanSchoiack LR, Wu JC, Sheets CG, Earthman JC (2006) Effect of bone density on the damping behavior of dental implants: an in vitro method. Mater Sci Eng 26: 1307–1311
Kniss J, Kindlmann G, Hansen C (2001) Interactive volume rendering using multi-dimensional transfer functions and direct manipulation widgets. In: Proceedings of IEEE visualization 2001, pp 255–262
Dachille F, Kreeger K, Chen B, Bitter I, Kaufman A (1998) High-quality volume rendering using texture mapping hardware. In: SIGGRAPH eurographics graphics hardware workshop, pp 69–76
Westermann R, Ertl T (1998) Efficiently using graphics hardware in volume rendering applications. In: Computer graphics (SIGGRAPH ’98), vol 32(4), pp 169–179
Meissner M, Guthe S, Strasser W (2001) Higher quality volume rendering on PC graphics hardware. Wilhelm Schickard Institute for Computer Science, Graphical-Interactive Systems (WSI/GRIS), University of Tuebingen
Meyer J, Gelder S, Kretschmer K, Silkenbauumer K, Hagen H (1997) Interactive visualization of hybrid medical data sets. In: Proceedings of the WSCG ’97, vol 2. Pilsen, Czech Republic, pp 371–380
Sengupta R, Meyer J, Zhang Z (2004) Hybrid pipelining approach to image alignment for large-scale brain image data. In: 7th IASTED international conference on computers, graphics, and imaging (CGIM 2004), Kauai, Hawaii, pp 78–83
Wowern N (1975) Variations in bone mass and bone activity within the mandible. Calcif Tissue Int 21: 397–404
Magne P, Belser U (2002) Rationalization of shape and related stress distribution in posterior teeth: a finite element study using nonlinear contact analysis. Int J Periodontics Restor Dent 22: 425–433
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An erratum to this article is available at http://dx.doi.org/10.1007/s11548-015-1170-9.
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Meyer, J. Visualization of osseointegration of maxilla and mandible dental implants. Int J CARS 5, 69–76 (2010). https://doi.org/10.1007/s11548-009-0382-2
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DOI: https://doi.org/10.1007/s11548-009-0382-2