Title | ||
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Method And Architecture For Quantification Of Bone Structure Using Microscopic Image Slices |
Abstract | ||
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This paper presents a new system that reconstructs, visualizes and classifies trabecular bone structure by using microscopic image slices. In this study, we evaluated the structure of a trabecular bone using 3D X-ray imaging after passing through the special image enhancement and de-nosing algorithms. We propose a new simple imaging technique tool for the quantification of structural changes within the micro architecture of human bones by enhancing the characteristics attributes of the bone architecture from mu-CT scans. Computer simulation illustrates that the presented imaging technique has the potential to become a powerful tool to investigate the structure of trabeculae during in vivo measurements. |
Year | DOI | Venue |
---|---|---|
2013 | 10.1117/12.2005120 | IMAGE PROCESSING: ALGORITHMS AND SYSTEMS XI |
Keywords | Field | DocType |
3D, Trabecular Bone, Image Enhancement, Microscopic Images | Computer vision,Architecture,Artificial intelligence,Computing systems,Microarchitecture,Physics | Conference |
Volume | ISSN | Citations |
8655 | 0277-786X | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
---|---|---|---|
sunderam krishnan | 1 | 0 | 0.34 |
Sos Agaian | 2 | 67 | 16.48 |
dana mecke | 3 | 0 | 0.34 |
sergio alejandro montelongo | 4 | 0 | 0.34 |
wang xiaodu | 5 | 0 | 0.34 |