Abstract
PurposeTo estimate potential dose reduction in abdominal CT by visually comparing images reconstructed with filtered back projection (FBP) and strengths of 3 and 5 of a specific MBIR.Material and methodsA dual-source scanner was used to obtain three data sets each for 50 recruited patients with 30, 70 and 100% tube loads (mean CTDIvol 1.9, 3.4 and 6.2 mGy). Six image criteria were assessed independently by five radiologists. Potential dose reduction was estimated with Visual Grading Regression (VGR).ResultsComparing 30 and 70% tube load, improved image quality was observed as a significant strong effect of log tube load and reconstruction method with potential dose reduction relative to FBP of 22–47% for MBIR strength 3 (p < 0.001). For MBIR strength 5 no dose reduction was possible for image criteria 1 (liver parenchyma), but dose reduction between 34 and 74% was achieved for other criteria. Interobserver reliability showed agreement of 71–76% (κw 0.201–0.286) and intra-observer reliability of 82–96% (κw 0.525–0.783).ConclusionMBIR showed improved image quality compared to FBP with positive correlation between MBIR strength and increasing potential dose reduction for all but one image criterion.Key Points• MBIR’s main advantage is its de-noising properties, which facilitates dose reduction.• MBIR allows for potential dose reduction in relation to FBP.• Visual Grading Regression (VGR) produces direct numerical estimates of potential dose reduction.• MBIR strengths 3 and 5 dose reductions were 22–34 and 34–74%.• MBIR strength 5 demonstrates inferior performance for liver parenchyma.
Highlights
Technical developments and new applications have led to an increase in the use of computed tomography (CT) in medicalEur Radiol (2018) 28:2464–2473 imaging and the associated population doses that arise from it [1, 2]
MBIR, which may be applied at different strengths, perform noise reduction in both raw data and image domains and incorporate physical models to accurately correct for a variety of image degrading effects [13, 14]
Due to a 35.5-cm diameter restriction of the small detector scan field of view (SFoV), ethical approval was obtained for 90 patients as anatomical fit to the smaller SFoV could only be determined after the scan was performed
Summary
Technical developments and new applications have led to an increase in the use of computed tomography (CT) in medicalEur Radiol (2018) 28:2464–2473 imaging and the associated population doses that arise from it [1, 2]. CT contributes up to 70% of the collective effective dose, it accounts for only 10–15% of the total medical imaging procedures that use ionising radiation [3,4,5,6]. IR selectively reduces statistical noise in the images improving image quality of subtle details, and may facilitate dose reduction. MBIR, which may be applied at different strengths, perform noise reduction in both raw data and image domains and incorporate physical models to accurately correct for a variety of image degrading effects [13, 14]. To our knowledge, there are no studies that directly estimate the dose-reduction potential of the Advanced Modeled Iterative Reconstruction (ADMIRE, Siemens, Erlangen, Germany) algorithm in the clinical setting using pair-wise comparison of images
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