TY - JOUR
T1 - 3D automatic exposure control for 64-detector row CT
T2 - Radiation dose reduction in chest phantom study
AU - Matsumoto, Keiko
AU - Ohno, Yoshiharu
AU - Koyama, Hisanobu
AU - Kono, Atsushi
AU - Inokawa, Hiroyasu
AU - Onishi, Yumiko
AU - Nogami, Munenobu
AU - Takenaka, Daisuke
AU - Araki, Tsutomu
AU - Sugimura, Kazuro
N1 - Funding Information:
This work was supported by Toshiba Medical Systems.
PY - 2011/3
Y1 - 2011/3
N2 - Purpose: The purpose of this study was to determine the utility of three-dimensional (3D) automatic exposure control (AEC) for low-dose CT examination in a chest phantom study. Materials and methods: A chest CT phantom including simulated focal ground-glass opacities (GGOs) and nodules was scanned with a 64-detector row CT with and without AEC. Performance of 3D AEC included changing targeted standard deviations (SDs) of image noise from scout view. To determine the appropriate targeted SD number for identification, the capability of overall identification with the CT protocol adapted to each of the targeted SDs was compared with that obtained with CT without AEC by means of receiver operating characteristic analysis. Results: When targeted SD values equal to or higher than 250 were used, areas under the curve (Azs) of nodule identification with CT protocol using AEC were significantly smaller than that for CT protocol without AEC (p < 0.05). When targeted SD numbers at equal to or more than 180 were adapted, Azs of CT protocol with AEC had significantly smaller than that without AEC (p < 0.05). Conclusion: This phantom study shows 3D AEC is useful for low-dose lung CT examination, and can reduce the radiation dose while maintaining good identification capability and good image quality.
AB - Purpose: The purpose of this study was to determine the utility of three-dimensional (3D) automatic exposure control (AEC) for low-dose CT examination in a chest phantom study. Materials and methods: A chest CT phantom including simulated focal ground-glass opacities (GGOs) and nodules was scanned with a 64-detector row CT with and without AEC. Performance of 3D AEC included changing targeted standard deviations (SDs) of image noise from scout view. To determine the appropriate targeted SD number for identification, the capability of overall identification with the CT protocol adapted to each of the targeted SDs was compared with that obtained with CT without AEC by means of receiver operating characteristic analysis. Results: When targeted SD values equal to or higher than 250 were used, areas under the curve (Azs) of nodule identification with CT protocol using AEC were significantly smaller than that for CT protocol without AEC (p < 0.05). When targeted SD numbers at equal to or more than 180 were adapted, Azs of CT protocol with AEC had significantly smaller than that without AEC (p < 0.05). Conclusion: This phantom study shows 3D AEC is useful for low-dose lung CT examination, and can reduce the radiation dose while maintaining good identification capability and good image quality.
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U2 - 10.1016/j.ejrad.2009.09.012
DO - 10.1016/j.ejrad.2009.09.012
M3 - Article
C2 - 19836179
AN - SCOPUS:79952991863
SN - 0720-048X
VL - 77
SP - 522
EP - 527
JO - European journal of radiology
JF - European journal of radiology
IS - 3
ER -