Impact of iterative reconstruction on image quality and radiation dose in multidetector CT of large body size adults |
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Authors: | Gaurav S. Desai Raul N. Uppot Elaine W. Yu Avinash R. Kambadakone Dushyant V. Sahani |
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Affiliation: | Department of Abdominal Imaging and Intervention, Massachusetts General Hospital, Harvard Medical School, 55 Fruit Street, White 270, Boston, MA 02114, USA. |
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Abstract: |
Objective To compare image quality and radiation dose using Adaptive Statistical Iterative Reconstruction (ASiR) and Filtered Back Projection (FBP) in patients weighing ≥91?kg. Methods In this Institution Review Board-approved retrospective study, single-phase contrast-enhanced abdominopelvic CT examinations of 100 adults weighing ≥91?kg (mean body weight: 107.6?±?17.4?kg range: 91–181.9?kg) with (1) ASiR and (2) FBP were reviewed by two readers in a blinded fashion for subjective measures of image quality (using a subjective standardized numerical scale and objective noise) and for radiation exposure. Imaging parameters and radiation dose results of the two techniques were compared within weight and BMI sub-categories. Results All examinations were found to be of adequate quality. Both subjective (mean?=?1.4?±?0.5 vs. 1.6?±?0.6, P?0.05) and objective noise (13.0?±?3.2 vs.19.5?±?5.7, P?0.0001) were lower with ASiR. Average radiation dose reduction of 31.5?% was achieved using ASiR (mean CTDIvol. ASiR: 13.5?±?7.3?mGy; FBP: 19.7?±?9.0?mGy, P?0.0001). Other measures of image quality were comparable between the two techniques. Trends for all parameters were similar in patients across weight and BMI sub-categories. Conclusion In obese individuals, abdominal CT images reconstructed using ASiR provide diagnostic images with reduced image noise at lower radiation dose. Key Points ? CT images in obese adults are noisy, even with high radiation dose. ? Newer iterative reconstruction techniques have theoretical advantages in obese patients. ? Adaptive statistical iterative reconstruction should reduce image noise and radiation dose. ? This has been proven in abdominopelvic CT images of obese patients. |
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