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Title: Practical error estimation in zoom-in and truncated tomography reconstructions

Abstract

Synchrotron-based microtomography provides high resolution, but the resolution in large samples is often limited by the detector field of view and the pixel size. For some samples, only a small region of interest is relevant and local tomography is a powerful approach for retaining high resolution. Two methods are truncated tomography and zoom-in tomography. In this article we use existing theoretical results to estimate the error present in truncated and zoom-in tomographic reconstructions. These errors agree with the errors calculated from exact tomographic reconstructions. We argue in a heuristic manner why zoom-in tomography is superior to the truncated tomography in terms of the reconstruction error. However, the theoretical formula is not usable in practice because it requires the complete high-resolution reconstruction to be known. To solve this problem we proposed a practical method for estimating the error in zoom-in and truncated tomographies. The results using this estimation method are in very good agreement with our experimental results.

Authors:
; ;  [1]
  1. Advanced Photon Source, X-ray Science Division, Argonne National Laboratory, Argonne, Illinois 60439 (United States)
Publication Date:
OSTI Identifier:
20953472
Resource Type:
Journal Article
Journal Name:
Review of Scientific Instruments
Additional Journal Information:
Journal Volume: 78; Journal Issue: 6; Other Information: DOI: 10.1063/1.2744224; (c) 2007 American Institute of Physics; Country of input: International Atomic Energy Agency (IAEA); Journal ID: ISSN 0034-6748
Country of Publication:
United States
Language:
English
Subject:
46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; COMPUTERIZED TOMOGRAPHY; EQUIPMENT; ERRORS; IMAGES; RESOLUTION; STATISTICS; SYNCHROTRONS; X RADIATION

Citation Formats

Xianghui, Xiao, De Carlo, Francesco, Stock, Stuart, and Department of Molecular Pharmacology and Biological Chemistry, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611-3008. Practical error estimation in zoom-in and truncated tomography reconstructions. United States: N. p., 2007. Web. doi:10.1063/1.2744224.
Xianghui, Xiao, De Carlo, Francesco, Stock, Stuart, & Department of Molecular Pharmacology and Biological Chemistry, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611-3008. Practical error estimation in zoom-in and truncated tomography reconstructions. United States. https://doi.org/10.1063/1.2744224
Xianghui, Xiao, De Carlo, Francesco, Stock, Stuart, and Department of Molecular Pharmacology and Biological Chemistry, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611-3008. Fri . "Practical error estimation in zoom-in and truncated tomography reconstructions". United States. https://doi.org/10.1063/1.2744224.
@article{osti_20953472,
title = {Practical error estimation in zoom-in and truncated tomography reconstructions},
author = {Xianghui, Xiao and De Carlo, Francesco and Stock, Stuart and Department of Molecular Pharmacology and Biological Chemistry, Feinberg School of Medicine, Northwestern University, Chicago, Illinois 60611-3008},
abstractNote = {Synchrotron-based microtomography provides high resolution, but the resolution in large samples is often limited by the detector field of view and the pixel size. For some samples, only a small region of interest is relevant and local tomography is a powerful approach for retaining high resolution. Two methods are truncated tomography and zoom-in tomography. In this article we use existing theoretical results to estimate the error present in truncated and zoom-in tomographic reconstructions. These errors agree with the errors calculated from exact tomographic reconstructions. We argue in a heuristic manner why zoom-in tomography is superior to the truncated tomography in terms of the reconstruction error. However, the theoretical formula is not usable in practice because it requires the complete high-resolution reconstruction to be known. To solve this problem we proposed a practical method for estimating the error in zoom-in and truncated tomographies. The results using this estimation method are in very good agreement with our experimental results.},
doi = {10.1063/1.2744224},
url = {https://www.osti.gov/biblio/20953472}, journal = {Review of Scientific Instruments},
issn = {0034-6748},
number = 6,
volume = 78,
place = {United States},
year = {2007},
month = {6}
}