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

Ziying Zhou, Yugang Li, Fa Zhang, Xiaohua Wan*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

4 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)S1409-S1415
JournalBio-Medical Materials and Engineering
Volume26
DOIs
Publication statusPublished - 2015

Keywords

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

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