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Improved CT image reconstruction through partial Fourier sampling

Abbasi, H ; Sharif University of Technology | 2016

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  1. Type of Document: Article
  2. Publisher: Sharif University of Technology , 2016
  3. Abstract:
  4. A novel CT imaging structure based on Compressive Sensing (CS) is proposed. The main goal is to mitigate the CT imaging time and, thus, X-ray radiation dosage without compromising the image quality. The utilized compressive sensing approach is based on radial Fourier sampling. Thanks to the intrinsic relation between captured radon samples in a CT imaging process and the radial Fourier samples, partial Fourier sampling could be implemented systematically. This systematic compressive sampling helps in better control of required conditions such as incoherence and sparsity to guarantee adequate image quality in comparison to previous CS-based CT imaging structures. Simulation results prove the superior quality of the proposed approach (about 4% improvement in peak signal-to-noise ratio), achieving the smallest CT scan time and the best image quality. © 2016 Sharif University of Technology. All rights reserved
  5. Keywords:
  6. Compressive sensing ; Partial fourier ; Compressed sensing ; Fourier transforms ; Image processing ; Image quality ; Image reconstruction ; Image sampling ; Signal reconstruction ; Signal to noise ratio ; Compressive sampling ; Ct image reconstruction ; Fourier sampling ; Intrinsic relation ; Partial-Fourier ; Peak signal to noise ratio ; Systematic sampling ; Computerized tomography
  7. Source: Scientia Iranica ; Volume 23, Issue 6 , 2016 , Pages 2908-2916 ; 10263098 (ISSN)
  8. URL: http://scientiairanica.sharif.edu/article_4000.html