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Biomed Res Int. 2013;2013:417278. doi: 10.1155/2013/417278. Epub 2013 Jun 19.

Simultaneous reduction in noise and cross-contamination artifacts for dual-energy X-ray CT.

Author information

1
Department of Radiology, Boston University Medical Center, Boston, MA 02118, USA. bhli@mail.xjtu.edu.cn

Abstract

PURPOSE:

Dual-energy CT imaging tends to suffer from much lower signal-to-noise ratio than single-energy CT. In this paper, we propose an improved anticorrelated noise reduction (ACNR) method without causing cross-contamination artifacts.

METHODS:

The proposed algorithm diffuses both basis material density images (e.g., water and iodine) at the same time using a novel correlated diffusion algorithm. The algorithm has been compared to the original ACNR algorithm in a contrast-enhanced, IRB-approved patient study. Material density accuracy and noise reduction are quantitatively evaluated by the percent density error and the percent noise reduction.

RESULTS:

Both algorithms have significantly reduced the noises of basis material density images in all cases. The average percent noise reduction is 69.3% and 66.5% with the ACNR algorithm and the proposed algorithm, respectively. However, the ACNR algorithm alters the original material density by an average of 13% (or 2.18 mg/cc) with a maximum of 58.7% (or 8.97 mg/cc) in this study. This is evident in the water density images as massive cross-contaminations are seen in all five clinical cases. On the contrary, the proposed algorithm only changes the mean density by 2.4% (or 0.69 mg/cc) with a maximum of 7.6% (or 1.31 mg/cc). The cross-contamination artifacts are significantly minimized or absent with the proposed algorithm.

CONCLUSION:

The proposed algorithm can significantly reduce image noise present in basis material density images from dual-energy CT imaging, with minimized cross-contaminations compared to the ACNR algorithm.

PMID:
23862145
PMCID:
PMC3703721
DOI:
10.1155/2013/417278
[Indexed for MEDLINE]
Free PMC Article

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