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Optimal sinogram sampling with temporally offset pixels in continuous rotation CT
KTH, School of Engineering Sciences (SCI), Physics, Physics of Medical Imaging.
KTH, School of Engineering Sciences (SCI), Physics, Physics of Medical Imaging.
2017 (English)In: Medical Imaging 2017: Physics of Medical Imaging, SPIE - International Society for Optical Engineering, 2017, Vol. 10132, 101322IConference paper, (Refereed)
Abstract [en]

Insufficient angular sampling in computed tomography can lead to aliasing artifacts that impair the quality of the reconstructed images. However, the angular sampling rate is often constrained due to practical limitations, such as the bandwidth of the data read-out or read-out noise. In this work, we present a new sampling scheme that allows aliasing-free image reconstruction with fewer angular samples. This is achieved by introducing a temporal offset between the samples acquired by adjacent detector pixels in the detector array. The temporal shift implies that the positions where the detector pixels sample the 2D Radon transform are interleaved in the angular direction, and if the shift is carefully selected, an optimal (hexagonal) sampling grid can be obtained. Optimal sampling grids are particularly effective in tomographic imaging since the bowtie-shaped spectral support of the sinogram allows a close tiling of the replicated spectra. We derive the sampling requirements when the proposed method is used and demonstrate that the obtained sampling grid reduces the aliasing artifacts compared to standard rectangular sampling at equal number of angular samples in simulated and experimental images. It is shown that the required number of angular samples can be reduced by 25-40%. The method is robust and easy to implement, and can therefore be of practical use for CT imaging where the number of views is limited.

Place, publisher, year, edition, pages
SPIE - International Society for Optical Engineering, 2017. Vol. 10132, 101322I
Series
Progress in Biomedical Optics and Imaging - Proceedings of SPIE, ISSN 1605-7422 ; 10132
Keyword [en]
Angular sampling, Anti-aliasing, Computed tomography, Hexagonal sampling, Optimal sampling, Temporally-offsetpixels
National Category
Medical Image Processing
Identifiers
URN: urn:nbn:se:kth:diva-209998DOI: 10.1117/12.2254329Scopus ID: 2-s2.0-85020405926ISBN: 9781510607095 (print)OAI: oai:DiVA.org:kth-209998DiVA: diva2:1116884
Conference
Medical Imaging 2017: Physics of Medical Imaging, Orlando, United States, 13 February 2017 through 16 February 2017
Note

QC 201706

Available from: 2017-06-28 Created: 2017-06-28 Last updated: 2017-06-28Bibliographically approved

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CiteExportLink to record
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Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
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More languages
Output format
  • html
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  • asciidoc
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