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Insights into Imaging
Fig. 2 | Insights into Imaging

Fig. 2

From: Inter-observer agreement and image quality of model-based algorithm applied to the Coronary Artery Disease-Reporting and Data System score

Fig. 2

Evaluation of noise and HU of the same patient’s examination dataset reconstructed with the two different iterative algorithms, model-based (MBIR) and hybrid-iterative (IR). CCTA was acquired with an 80-kV protocol, with a low radiation dose exposure (DLP 98.5 mGy × cm; ED 1.44 mSv), with a CADARAD score of 0. a–c Axial images reconstructed with IR with circular ROI placed in the proximal ascending aorta and common trunk. b–d Axial images reconstructed with MBIR with circular ROI placed in the same position as figures A and C. Because of the use of the model-based iterative reconstruction algorithm (MBIR), we obtained an image noise reduction of 50% compared to IR reconstruction as reported in the images: IR standard deviation (SD) in aorta 84 and common trunk 89; MBIR SD: aorta 42 and common trunk 47

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