Pulmonary Emphysema Quantification on Ultra–Low-Dose Computed Tomography Using Model-Based Iterative Reconstruction With or Without Lung Setting. Issue 5 (September 2018)

• Record Type: Journal Article
• Authors: Hata, Akinori; Yanagawa, Masahiro; Kikuchi, Noriko; Honda, Osamu; Tomiyama, Noriyuki
• Is Part Of: Journal of computer assisted tomography. Volume 42:Issue 5(2018)
• Publication Date: 2018-09
• Subjects: computed tomography -- pulmonary emphysema -- computer-assisted image analysis -- radiation dosage -- image reconstruction; Tomography -- Periodicals; Tomography -- Periodicals; Tomography; Periodicals; 616.0757
• DOI: 10.1097/RCT.0000000000000755
• Languages: English
• ISSNs: 0363-8715

Abstract

Abstract : Objectives: To evaluate the influence of model-based iterative reconstruction (MBIR) with lung setting and conventional setting on pulmonary emphysema quantification by ultra–low-dose computed tomography (ULDCT) compared with standard-dose CT (SDCT). Methods: Forty-five patients who underwent ULDCT (0.18 ± 0.02 mSv) and SDCT (6.66 ± 2.69 mSv) were analyzed in this retrospective study. Images were reconstructed using filtered back projection (FBP) with smooth and sharp kernels and MBIR with conventional and lung settings. Extent of emphysema was evaluated using fully automated software. Correlation between ULDCT and SDCT was assessed by interclass correlation coefficiency (ICC) and Bland-Altman analysis. Results: Excellent correlation was seen between MBIR with conventional setting on ULDCT and FBP with smooth kernel on SDCT (ICC, 0.97; bias, −0.31%) and between MBIR with lung setting on ULDCT and FBP with sharp kernel on SDCT (ICC, 0.82; bias, −2.10%). Conclusion: Model-based iterative reconstruction improved the agreement between ULDCT and SDCT on emphysema quantification.