Piecewise-Constant-Model-Based Interior Tomography Applied to Dentin Tubules

Journal Article · Mon Dec 31 23:00:00 EST 2012 · Computational and Mathematical Methods in Medicine

DOI: https://doi.org/10.1155/2013/892451 · OSTI ID:1227784

He, Peng  ^[1]; Wei, Biao ^[2]; Wang, Steve ^[3]; Stock, Stuart R. ^[4]; Yu, Hengyong ^[5]; Wang, Ge  ^[5]

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1. The Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400044, China, Biomedical Imaging Division, VT-WFU School of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, VA 24061, USA
2. The Key Laboratory of Optoelectronic Technology and Systems of the Education Ministry of China, Chongqing University, Chongqing 400044, China
3. Argonne National Laboratory, 9700 South Cass Avenue, Argonne, IL 60439, USA
4. Department of Molecular Pharmacology and Biological Chemistry, Feinberg School of Medicine, Northwestern University, 303 East Chicago Avenue, Chicago, IL 60611-3008, USA
5. Biomedical Imaging Division, VT-WFU School of Biomedical Engineering and Sciences, Virginia Tech, Blacksburg, VA 24061, USA, Biomedical Imaging Division, VT-WFU School of Biomedical Engineering and Sciences, Wake Forest University Health Sciences, Winston-Salem, NC 27157, USA

Dentin is a hierarchically structured biomineralized composite material, and dentin’s tubules are difficult to study in situ. Nano-CT provides the requisite resolution, but the field of view typically contains only a few tubules. Using a plate-like specimen allows reconstruction of a volume containing specific tubules from a number of truncated projections typically collected over an angular range of about 140°, which is practically accessible. Classical computed tomography (CT) theory cannot exactly reconstruct an object only from truncated projections, needless to say a limited angular range. Recently, interior tomography was developed to reconstruct a region-of-interest (ROI) from truncated data in a theoretically exact fashion via the total variation (TV) minimization under the condition that the ROI is piecewise constant. In this paper, we employ a TV minimization interior tomography algorithm to reconstruct interior microstructures in dentin from truncated projections over a limited angular range. Compared to the filtered backprojection (FBP) reconstruction, our reconstruction method reduces noise and suppresses artifacts. Volume rendering confirms the merits of our method in terms of preserving the interior microstructure of the dentin specimen.

• Sponsoring Organization: USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22)
• Grant/Contract Number: AC02-06CH11357
• OSTI ID: 1227784
• Journal Information: Computational and Mathematical Methods in Medicine, Journal Name: Computational and Mathematical Methods in Medicine Vol. 2013; ISSN 1748-670X
• Publisher: Hindawi Publishing CorporationCopyright Statement
• Country of Publication: Country unknown/Code not available
• Language: English