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FASART: An iterative reconstruction algorithm with inter-iteration adaptive NAD filter

Issue title: Frontiers in Biomedical Engineering and Biotechnology – Proceedings of the 4th International Conference on Biomedical Engineering and Biotechnology, 18–21 August 2015, Shanghai, China

Guest editors: Feng Liu, Dong-Hoon Lee, Ricardo Lagoa and Sandeep Kumar

Article type: Research Article

Authors: Zhou, Ziyinga | Li, Yuganga | Zhang, Fab | Wan, Xiaohuab; *

Affiliations: [a] Beijing Lab of Intelligent Information Technology, School of Computer Science, Beijing Institute of Technology, Beijing 100081, China | [b] Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China

Correspondence: [*] Address for correspondence: Xiaohua Wan, Key Lab of Intelligent Information Processing, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China. Tel.: +86-15101037202; E-mail: [email protected].

Keywords: electron tomography (ET), 3D reconstruction, iterative method, non-linear anisotropic diffusion (NAD) filter

DOI: 10.3233/BME-151439

Journal: Bio-Medical Materials and Engineering, vol. 26, no. s1, pp. S1409-S1415, 2015

Published: 2015
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Electron tomography (ET) is an essential imaging technique for studying structures of large biological specimens. These structures are reconstructed from a set of projections obtained at different sample orientations by tilting the specimen. However, most of existing reconstruction methods are not appropriate when the data are extremely noisy and incomplete. A new iterative method has been proposed: adaptive simultaneous algebraic reconstruction with inter-iteration adaptive non-linear anisotropic diffusion (NAD) filter (FASART). We also adopted an adaptive parameter and discussed the step for the filter in this reconstruction method. Experimental results show that FASART can restrain the noise generated in the process of iterative reconstruction and still preserve the more details of the structure edges.

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