Nonlinear sinogram smoothing for low-dose X-ray CT

Tianfang Li, Xiang Li, Jing Wang, Junhai Wen, Hongbing Lu, Jiang Hsieh, Zhengrong Liang

Research output: Contribution to journalArticlepeer-review

255 Scopus citations

Abstract

When excessive quantum noise is present in extremely low dose X-ray CT imaging, statistical properties of the data has to be considered to achieve a satisfactory image reconstruction. Statistical iterative reconstruction with accurate modeling of the noise, rather than a filtered back-projection (FBP) with low-pass filtering, is one way to deal with the problem. Estimating a noise-free sinogram to satisfy the FBP reconstruction for the Radon transform is another way. The benefits of the latter include a higher computation efficiency, more uniform spatial resolution in the reconstructed image, and less modification of the current machine configurations. In a clinic X-ray CT system, the acquired raw data must be calibrated, in addition to the logarithmic transform, to achieve the high diagnostic image quality. The calibrated projection data or sinogram no longer follow a compound Poisson distribution in general, but are close to a Gaussian distribution with signal-dependent variance. In this paper, we first investigated a relatively accurate statistical model for the sinogram data, based on several phantom experiments. Then we developed a penalized likelihood method to smooth the sinogram, which led to a set of nonlinear equations that can be solved by iterated conditional mode (ICM) algorithm within a reasonable computing time. The method was applied to several experimental datasets acquired at 120 kVp, 10 mA/20 mA/50 mA protocols with a GE HiSpeed multi-slice detector CT scanner and demonstrated a significant noise suppression without noticeable sacrifice of the spatial resolution.

Original languageEnglish (US)
Pages (from-to)2505-2513
Number of pages9
JournalIEEE Transactions on Nuclear Science
Volume51
Issue number5 II
DOIs
StatePublished - Oct 1 2004

Keywords

  • Iterated conditional mode
  • Low dose
  • Penalized weighted least square
  • Sinogram smoothing
  • X-ray computed tomography (CT)

ASJC Scopus subject areas

  • Nuclear and High Energy Physics
  • Nuclear Energy and Engineering
  • Electrical and Electronic Engineering

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