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Denoising of SPECT-image sinogram-data before reconstruction
KTH, School of Technology and Health (STH).
KTH, School of Technology and Health (STH), Health Systems Engineering, Systems Safety and Management.ORCID iD: 0000-0002-1831-9285
2014 (English)In: WMSCI 2014 - 18th World Multi-Conference on Systemics, Cybernetics and Informatics, Proceedings, 2014, Vol. 1, 202-206 p.Conference paper, Published paper (Refereed)
Abstract [en]

Nuclear medicine images have low signal-to-noise ratio (SNR) due to several physical limitations which degrade the image quality considerably. In this study, the Gaussian filter and the patch confidence Gaussian filter (PCG) were used to improve the image quality for Single Photon Emission Computed Tomography (SPECT). The new approach applies these filtering methods on the acquired 2D-projections before reconstructing the image. The new approach was evaluated on a SPECT dataset and the performance was compared with several conventional methods presented in the literature.

Place, publisher, year, edition, pages
2014. Vol. 1, 202-206 p.
Keyword [en]
2D Projections, Low SNR, Patch Confidence Gaussian Filter PCG, PCKNN, Sinogram, SPECT, Cybernetics, Gaussian distribution, Image quality, Information science, Nuclear medicine, Particle beams, Single photon emission computed tomography, Gaussian filters, Sinograms, Signal to noise ratio
National Category
Radiology, Nuclear Medicine and Medical Imaging Physical Sciences
Identifiers
URN: urn:nbn:se:kth:diva-167583Scopus ID: 2-s2.0-84923135770ISBN: 9781941763049 (print)OAI: oai:DiVA.org:kth-167583DiVA: diva2:815734
Conference
18th World Multi-Conference on Systemics, Cybernetics and Informatics, WMSCI 2014, 15 July 2014 through 18 July 2014
Note

QC 20150601

Available from: 2015-06-01 Created: 2015-05-22 Last updated: 2015-06-01Bibliographically approved

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Hamid Muhammad, Hamed

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CiteExportLink to record
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  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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Output format
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  • asciidoc
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