TY - JOUR
T1 - An improved index of image quality for task-based performance of CT iterative reconstruction across three commercial implementations
AU - Christianson, Olav
AU - Chen, Joseph J.S.
AU - Yang, Zhitong
AU - Saiprasad, Ganesh
AU - Dima, Alden
AU - Filliben, James J.
AU - Peskin, Adele
AU - Trimble, Christopher
AU - Siegel, Eliot L.
AU - Samei, Ehsan
N1 - Publisher Copyright:
© RSNA, 2015.
PY - 2015/6/1
Y1 - 2015/6/1
N2 - Purpose: To develop and validate a metric of computed tomographic (CT) image quality that incorporates the noise texture and resolution properties of an image. Materials and Methods: Images of the American College of Radiology CT quality assurance phantom were acquired by using three commercial CT systems at seven dose levels with filtered back projection (FBP) and iterative reconstruction (IR). Image quality was characterized by the contrast-to-noise ratio (CNR) and a detectability index (d') that incorporated noise texture and spatial resolution. The measured CNR and d' were compared with a corresponding observer study by using the Spearman rank correlation coefficient to determine how well each metric reflects the ability of an observer to detect subtle lesions. Statistical significance of the correlation between each metric and observer performance was determined by using a Student t distribution; P values less than .05 indicated a significant correlation. Additionally, each metric was used to estimate the dose reduction potential of IR algorithms while maintaining image quality. Results: Across all dose levels, scanner models, and reconstruction algorithms, the d' correlated strongly with observer performance in the corresponding observer study (ρ = 0.95; P < .001), whereas the CNR correlated weakly with observer performance (ρ = 0.31; P = .21). Furthermore, the d' showed that the dose-reduction capabilities differed between clinical implementations (range, 12%-35%) and were less than those predicted from the CNR (range, 50%-54%). Conclusion: The strong correlation between the observer performance and the d' indicates that the d' is superior to the CNR for the evaluation of CT image quality. Moreover, the results of this study indicate that the d' improves less than the CNR with the use of IR, which indicates less potential for IR dose reduction than previously thought.
AB - Purpose: To develop and validate a metric of computed tomographic (CT) image quality that incorporates the noise texture and resolution properties of an image. Materials and Methods: Images of the American College of Radiology CT quality assurance phantom were acquired by using three commercial CT systems at seven dose levels with filtered back projection (FBP) and iterative reconstruction (IR). Image quality was characterized by the contrast-to-noise ratio (CNR) and a detectability index (d') that incorporated noise texture and spatial resolution. The measured CNR and d' were compared with a corresponding observer study by using the Spearman rank correlation coefficient to determine how well each metric reflects the ability of an observer to detect subtle lesions. Statistical significance of the correlation between each metric and observer performance was determined by using a Student t distribution; P values less than .05 indicated a significant correlation. Additionally, each metric was used to estimate the dose reduction potential of IR algorithms while maintaining image quality. Results: Across all dose levels, scanner models, and reconstruction algorithms, the d' correlated strongly with observer performance in the corresponding observer study (ρ = 0.95; P < .001), whereas the CNR correlated weakly with observer performance (ρ = 0.31; P = .21). Furthermore, the d' showed that the dose-reduction capabilities differed between clinical implementations (range, 12%-35%) and were less than those predicted from the CNR (range, 50%-54%). Conclusion: The strong correlation between the observer performance and the d' indicates that the d' is superior to the CNR for the evaluation of CT image quality. Moreover, the results of this study indicate that the d' improves less than the CNR with the use of IR, which indicates less potential for IR dose reduction than previously thought.
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U2 - 10.1148/radiol.15132091
DO - 10.1148/radiol.15132091
M3 - Article
C2 - 25686365
AN - SCOPUS:84920154682
SN - 0033-8419
VL - 275
SP - 725
EP - 734
JO - RADIOLOGY
JF - RADIOLOGY
IS - 3
ER -