RSNA 2011 

Abstract Archives of the RSNA, 2011


LL-PHS-TH11A

Comparison of Noise Reduction Effect with Adaptive Statistical Iterative Reconstruction (ASIR) at Different Settings of Noise Index: A Phantom Study

Scientific Informal (Poster) Presentations

Presented on December 1, 2011
Presented as part of LL-PHS-TH: Physics

Participants

Kefeng Zhou, Presenter: Nothing to Disclose
Xiaoyan Xin MPH, Abstract Co-Author: Nothing to Disclose
Xiao Zhu Lin BA, Abstract Co-Author: Nothing to Disclose
Yun Shen PhD, Abstract Co-Author: Employee, General Electric Company Researcher, General Electric Company
Hua Xu MMED, Abstract Co-Author: Nothing to Disclose
Bin Zhu MD, PhD, Abstract Co-Author: Nothing to Disclose
Junkun Chen, Abstract Co-Author: Nothing to Disclose

PURPOSE

To compare the noise reduction effect of gemstone CT with adaptive statistical iterative reconstruction (ASIR) technology at different settings of noise index.

METHOD AND MATERIALS

A catphan 600 phantom was scanned on gemstone CT (Discovery HD 750, GE) at different settings of noise index (5, 10, 15, 20, 25, 30, 35, 40) Reconstruction was performed with different weightings of ASIR (0,10,20,30,40,50,60,70,80,90,100). CT values (mean±standard deviation, HU) were measured from the same ROI at the same level with different noise index and ASIR weightings. Standard deviation was taken as the noise value. Noise reduction was calculated with reference to noise value when ASIR weighting was zero. Correlation and regression analysis between noise reduction and ASIR weighting was performed by SPSS 14.0 software. CT values at different settings of noise index and ASIR weighting were compared with double-factor variance analysis.

RESULTS

At the same noise index, noise values decreased and noise reduction increased as ASIR weighting increased. At different settings of noise index, coefficients (55.546~57.668) and constants (1.876~2.260) of the eight linear regression equations between noise reduction and ASIR weighting changed within a quite narrow range. Hence, one integrated linear regression equation could be established: Noise reduction (%) = ±56.748*ASIR weighting + 2.127 (p<0.001). No significant differences of CT values could be found among different settings of ASIR weighting with double-factor variance analysis (F=0.236, p=0.992). However, CT values changed significantly at different settings of noise index (F=279.829, p<0.001).

CONCLUSION

Noise reduction can be achieved by ASIR technology without impairment of CT value measurement.

CLINICAL RELEVANCE/APPLICATION

Noise of the images could be reduced and the radiation dose of the patients adopted could be decreased with the adaptive statistical iterative reconstruction technology.

Cite This Abstract

Zhou, K, Xin, X, Lin, X, Shen, Y, Xu, H, Zhu, B, Chen, J, Comparison of Noise Reduction Effect with Adaptive Statistical Iterative Reconstruction (ASIR) at Different Settings of Noise Index: A Phantom Study.  Radiological Society of North America 2011 Scientific Assembly and Annual Meeting, November 26 - December 2, 2011 ,Chicago IL. http://archive.rsna.org/2011/11034238.html