The adaptive statistical iterative reconstruction-V technique for radiation dose reduction in abdominal CT: comparison with the adaptive statistical iterative reconstruction technique
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Kwon, Heejin
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Cho, Jinhan
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Dong A Univ Hosp, Dept Radiol, Busan, South KoreaDong A Univ Hosp, Dept Radiol, Busan, South Korea
Cho, Jinhan
[1
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Oh, Jongyeong
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Dong A Univ Hosp, Dept Radiol, Busan, South KoreaDong A Univ Hosp, Dept Radiol, Busan, South Korea
Oh, Jongyeong
[1
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Kim, Dongwon
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Dong A Univ Hosp, Dept Radiol, Busan, South KoreaDong A Univ Hosp, Dept Radiol, Busan, South Korea
Kim, Dongwon
[1
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Cho, Junghyun
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Dong A Univ Hosp, Dept Radiol, Busan, South KoreaDong A Univ Hosp, Dept Radiol, Busan, South Korea
Cho, Junghyun
[1
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Kim, Sanghyun
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Dong A Univ Hosp, Dept Radiol, Busan, South KoreaDong A Univ Hosp, Dept Radiol, Busan, South Korea
Kim, Sanghyun
[1
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Lee, Sangyun
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Dong A Univ Hosp, Dept Radiol, Busan, South KoreaDong A Univ Hosp, Dept Radiol, Busan, South Korea
Lee, Sangyun
[1
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Lee, Jihyun
[1
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[1] Dong A Univ Hosp, Dept Radiol, Busan, South Korea
Objective: To investigate whether reduced radiation dose abdominal CT images reconstructed with adaptive statistical iterative reconstruction V (ASIR-V) compromise the depiction of clinically competent features when compared with the currently used routine radiation dose CT images reconstructed with ASIR. Methods: 27 consecutive patients (mean body mass index: 23.55 kg m(-2) underwent CT of the abdomen at two time points. At the first time point, abdominal CT was scanned at 21.45 noise index levels of automatic current modulation at 120 kV. Images were reconstructed with 40% ASIR, the routine protocol of Dong-A University Hospital. At the second time point, follow-up scans were performed at 30 noise index levels. Images were reconstructed with filtered back projection (FBP), 40% ASIR, 30% ASIR-V, 50% ASIR-V and 70% ASIR-V for the reduced radiation dose. Both quantitative and qualitative analyses of image quality were conducted. The CT dose index was also recorded. Results: At the follow-up study, the mean dose reduction relative to the currently used common radiation dose was 35.37% (range: 19-49%). The overall subjective image quality and diagnostic acceptability of the 50% ASIR-V scores at the reduced radiation dose were nearly identical to those recorded when using the initial routine-dose CT with 40% ASIR. Subjective ratings of the qualitative analysis revealed that of all reduced radiation dose CT series reconstructed, 30% ASIR-V and 50% ASIR-V were associated with higher image quality with lower noise and artefacts as well as good sharpness when compared with 40% ASIR and FBP. However, the sharpness score at 70% ASIR-V was considered to be worse than that at 40% ASIR. Objective image noise for 50% ASIR-V was 34.24% and 46.34% which was lower than 40% ASIR and FBP. Conclusion: Abdominal CT images reconstructed with ASIR-V facilitate radiation dose reductions of to 35% when compared with the ASIR. Advances in knowledge: This study represents the first clinical research experiment to use ASIR-V, the newest version of iterative reconstruction. Use of the ASIR-V algorithm decreased image noise and increased image quality when compared with the ASIR and FBP methods. These results suggest that high-quality low-dose CT may represent a new clinical option.
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Harvard Univ, Sch Med, Massachusetts Gen Hosp, Neuroradiol Div, Boston, MA 02114 USAHarvard Univ, Sch Med, Massachusetts Gen Hosp, Neuroradiol Div, Boston, MA 02114 USA
Vachha, Behroze
Brodoefel, Harald
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Harvard Univ, Sch Med, Beth Israel Deaconess Med Ctr, Dept Radiol, Boston, MA 02215 USAHarvard Univ, Sch Med, Massachusetts Gen Hosp, Neuroradiol Div, Boston, MA 02114 USA
Brodoefel, Harald
Wilcox, Carol
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Harvard Univ, Sch Med, Beth Israel Deaconess Med Ctr, Dept Radiol, Boston, MA 02215 USAHarvard Univ, Sch Med, Massachusetts Gen Hosp, Neuroradiol Div, Boston, MA 02114 USA
Wilcox, Carol
Hackney, David B.
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Harvard Univ, Sch Med, Beth Israel Deaconess Med Ctr, Dept Radiol, Boston, MA 02215 USAHarvard Univ, Sch Med, Massachusetts Gen Hosp, Neuroradiol Div, Boston, MA 02114 USA
Hackney, David B.
Moonis, Gul
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Harvard Univ, Sch Med, Beth Israel Deaconess Med Ctr, Dept Radiol, Boston, MA 02215 USAHarvard Univ, Sch Med, Massachusetts Gen Hosp, Neuroradiol Div, Boston, MA 02114 USA
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Capital Med Univ, Beijing Friendship Hosp, Dept Radiol, Beijing 100050, Peoples R ChinaCapital Med Univ, Beijing Friendship Hosp, Dept Radiol, Beijing 100050, Peoples R China
Xu, Yan
He, Wen
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Capital Med Univ, Beijing Friendship Hosp, Dept Radiol, Beijing 100050, Peoples R ChinaCapital Med Univ, Beijing Friendship Hosp, Dept Radiol, Beijing 100050, Peoples R China
He, Wen
Chen, Hui
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Capital Med Univ, Sch Biomed Engn, Beijing 100050, Peoples R ChinaCapital Med Univ, Beijing Friendship Hosp, Dept Radiol, Beijing 100050, Peoples R China
Chen, Hui
Hu, Zhihai
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Capital Med Univ, Beijing Friendship Hosp, Dept Radiol, Beijing 100050, Peoples R ChinaCapital Med Univ, Beijing Friendship Hosp, Dept Radiol, Beijing 100050, Peoples R China
Hu, Zhihai
Li, Juan
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Capital Med Univ, Beijing Friendship Hosp, Dept Radiol, Beijing 100050, Peoples R ChinaCapital Med Univ, Beijing Friendship Hosp, Dept Radiol, Beijing 100050, Peoples R China
Li, Juan
Zhang, Tingting
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Capital Med Univ, Beijing Friendship Hosp, Dept Radiol, Beijing 100050, Peoples R ChinaCapital Med Univ, Beijing Friendship Hosp, Dept Radiol, Beijing 100050, Peoples R China
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Univ Virginia, Dept Radiol & Med Imaging, Div Neuroradiol, Charlottesville, VA 22908 USAUniv Virginia, Dept Radiol & Med Imaging, Div Neuroradiol, Charlottesville, VA 22908 USA
Komlosi, Peter
Zhang, Yanrong
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Univ Virginia, Dept Radiol & Med Imaging, Div Neuroradiol, Charlottesville, VA 22908 USAUniv Virginia, Dept Radiol & Med Imaging, Div Neuroradiol, Charlottesville, VA 22908 USA
Zhang, Yanrong
Leiva-Salinas, Carlos
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Univ Virginia, Dept Radiol & Med Imaging, Div Neuroradiol, Charlottesville, VA 22908 USAUniv Virginia, Dept Radiol & Med Imaging, Div Neuroradiol, Charlottesville, VA 22908 USA
Leiva-Salinas, Carlos
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Ornan, David
Patrie, James T.
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Univ Virginia, Dept Publ Hlth Sci, Charlottesville, VA 22908 USAUniv Virginia, Dept Radiol & Med Imaging, Div Neuroradiol, Charlottesville, VA 22908 USA
Patrie, James T.
Xin, Wenjun
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Univ Virginia, Dept Publ Hlth Sci, Charlottesville, VA 22908 USAUniv Virginia, Dept Radiol & Med Imaging, Div Neuroradiol, Charlottesville, VA 22908 USA
Xin, Wenjun
Grady, Deborah
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Univ Virginia, Dept Radiol & Med Imaging, Div Neuroradiol, Charlottesville, VA 22908 USAUniv Virginia, Dept Radiol & Med Imaging, Div Neuroradiol, Charlottesville, VA 22908 USA
Grady, Deborah
Wintermark, Max
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Univ Virginia, Dept Radiol & Med Imaging, Div Neuroradiol, Charlottesville, VA 22908 USA
CHU Vaudois, Dept Radiol, CH-1011 Lausanne, SwitzerlandUniv Virginia, Dept Radiol & Med Imaging, Div Neuroradiol, Charlottesville, VA 22908 USA