TY - JOUR
T1 - Choosing the best reconstruction technique in abdominal computed tomography
T2 - A systematic approach
AU - Andersen, Hilde Kjernlie
AU - Jensen, Kristin
AU - Berstad, Audun Elnaes
AU - Aaløkken, Trond Mogens
AU - Kristiansen, Joanna
AU - Von Gohren Edwin, Bjørn
AU - Hagen, Gaute
AU - Martinsen, Anne Catrine Trægde
N1 - Publisher Copyright:
© 2014 Lippincott Williams & Wilkins.
PY - 2014/12/11
Y1 - 2014/12/11
N2 - Objective: There is uncertainty regarding the effect of iterative reconstruction (IR) techniques and other reconstruction algorithms on image quality. The aim of this study was to optimize image quality in relation to radiation dose in computed tomography (CT) liver examinations by comparing images reconstructed with different abdominal filters with and without IR.Methods: An anthropomorphic phantom was scanned on a Toshiba Aquilion ONE CT scanner. Images at 2 different dose levels were reconstructed with 12 different body reconstruction filters, all with both filtered back-projection and Adaptive Iterative Dose Reduction 3 dimensional. Receiver operating characteristic curves were constructed. The 2 reconstruction combinations with the highest scores from the phantom study were evaluated in a second comparison of clinical images. Six liver examinations were reconstructed with both filters and evaluated using visual grading analysis.Results: Two combinations of reconstruction filters and IR were the only 2 options among the 8 best images at both dose levels (area under the curve, 0.96 and 0.94 for 15 mGy as well as 0.86 and 0.84 for 10 mGy). In the patient study, one of these filters in combination with IR scored slightly higher than the other in combination with IR (mean score, 2.60 and 2.57, respectively; P = 0.56). Iterative reconstruction did not significantly increase lesion detectability for any of the filters.Conclusions: This study indicates that the preferred choice for reconstruction of CT liver examinations performed with the Toshiba Aquilion ONE should be the FC18 filter with IR, although the IR technique did not significantly improve lesion detectability and did not compensate for the dose reduction in this study.
AB - Objective: There is uncertainty regarding the effect of iterative reconstruction (IR) techniques and other reconstruction algorithms on image quality. The aim of this study was to optimize image quality in relation to radiation dose in computed tomography (CT) liver examinations by comparing images reconstructed with different abdominal filters with and without IR.Methods: An anthropomorphic phantom was scanned on a Toshiba Aquilion ONE CT scanner. Images at 2 different dose levels were reconstructed with 12 different body reconstruction filters, all with both filtered back-projection and Adaptive Iterative Dose Reduction 3 dimensional. Receiver operating characteristic curves were constructed. The 2 reconstruction combinations with the highest scores from the phantom study were evaluated in a second comparison of clinical images. Six liver examinations were reconstructed with both filters and evaluated using visual grading analysis.Results: Two combinations of reconstruction filters and IR were the only 2 options among the 8 best images at both dose levels (area under the curve, 0.96 and 0.94 for 15 mGy as well as 0.86 and 0.84 for 10 mGy). In the patient study, one of these filters in combination with IR scored slightly higher than the other in combination with IR (mean score, 2.60 and 2.57, respectively; P = 0.56). Iterative reconstruction did not significantly increase lesion detectability for any of the filters.Conclusions: This study indicates that the preferred choice for reconstruction of CT liver examinations performed with the Toshiba Aquilion ONE should be the FC18 filter with IR, although the IR technique did not significantly improve lesion detectability and did not compensate for the dose reduction in this study.
KW - CT
KW - Image quality
KW - Iterative reconstruction
KW - Lesion detectability
KW - Liver
KW - Optimization
KW - Reconstruction
KW - ROC
KW - Toshiba
UR - https://www.scopus.com/pages/publications/84918586056
U2 - 10.1097/RCT.0000000000000139
DO - 10.1097/RCT.0000000000000139
M3 - Article
C2 - 25119064
AN - SCOPUS:84918586056
SN - 0363-8715
VL - 38
SP - 853
EP - 858
JO - Journal of Computer Assisted Tomography
JF - Journal of Computer Assisted Tomography
IS - 6
ER -