liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Optimal Spatial Filtering Schemes and Compact Tomography Setups
Indian Institute Technology, India; University of Calif Davis, CA 95616 USA.
Linköping University, Department of Biomedical Engineering, Medical Informatics. Linköping University, Faculty of Science & Engineering. Indian Institute Technology, India.
Indian Institute Technology, India.
Indian Institute Technology, India.
2016 (English)In: Research in nondestructive evaluation (Print), ISSN 0934-9847, E-ISSN 1432-2110, Vol. 27, no 2, 69-85 p.Article in journal (Refereed) Published
Resource type
Text
Abstract [en]

Three compact computerized tomography (CT) scanner prototypes are established and tested for acceptable reconstruction results. Performance of conventional iterative reconstruction algorithm is enhanced via incorporating a spatial filtering/masking step. Generally, these masking strategies incorporate an arbitrary (3 3 or 2 2) size of square averaging mask to subdue the ill-posedness. Three different spatial filtering schemes are tested in this work. The objective is to remove any dependency on a user for deciding an appropriate masking parameter. The outcome of the simulation study is successfully verified for three real data situations using three specimens with pre-assigned/known inner profile. Such austere scanning situations arise in real-time environment especially for undetachable/fixed small size objects situated in inaccessible locations. The present study encourages the development of low budget CT setups.

Place, publisher, year, edition, pages
Taylor & Francis, 2016. Vol. 27, no 2, 69-85 p.
Keyword [en]
Compact CT scanners; optimal spatial filtering; sparse data tomography
National Category
Signal Processing
Identifiers
URN: urn:nbn:se:liu:diva-130083DOI: 10.1080/09349847.2015.1060659ISI: 000377208500001OAI: oai:DiVA.org:liu-130083DiVA: diva2:946919
Available from: 2016-07-06 Created: 2016-07-06 Last updated: 2016-07-06

Open Access in DiVA

No full text

Other links

Publisher's full text

Search in DiVA

By author/editor
Shakya, Snehlata
By organisation
Medical InformaticsFaculty of Science & Engineering
In the same journal
Research in nondestructive evaluation (Print)
Signal Processing

Search outside of DiVA

GoogleGoogle Scholar

Altmetric score

Total: 76 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf