Document Detail


Accurate segmentation of dense nanoparticles by partially discrete electron tomography.
MedLine Citation:
PMID:  22417923     Owner:  NLM     Status:  Publisher    
Abstract/OtherAbstract:
Accurate segmentation of nanoparticles within various matrix materials is a difficult problem in electron tomography. Due to artifacts related to image series acquisition and reconstruction, global thresholding of reconstructions computed by established algorithms, such as weighted backprojection or SIRT, may result in unreliable and subjective segmentations. In this paper, we introduce the Partially Discrete Algebraic Reconstruction Technique (PDART) for computing accurate segmentations of dense nanoparticles of constant composition. The particles are segmented directly by the reconstruction algorithm, while the surrounding regions are reconstructed using continuously varying gray levels. As no properties are assumed for the other compositions of the sample, the technique can be applied to any sample where dense nanoparticles must be segmented, regardless of the surrounding compositions. For both experimental and simulated data, it is shown that PDART yields significantly more accurate segmentations than those obtained by optimal global thresholding of the SIRT reconstruction.
Authors:
T Roelandts; K J Batenburg; E Biermans; C Kübel; S Bals; J Sijbers
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Publication Detail:
Type:  JOURNAL ARTICLE     Date:  2012-1-4
Journal Detail:
Title:  Ultramicroscopy     Volume:  114C     ISSN:  1879-2723     ISO Abbreviation:  -     Publication Date:  2012 Jan 
Date Detail:
Created Date:  2012-3-15     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7513702     Medline TA:  Ultramicroscopy     Country:  -    
Other Details:
Languages:  ENG     Pagination:  96-105     Citation Subset:  -    
Copyright Information:
Copyright © 2012 Elsevier B.V. All rights reserved.
Affiliation:
IBBT-Vision Lab University of Antwerp, Universiteitsplein 1, 2610 Wilrijk, Belgium.
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