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| The phantom study of the potential of radiation dose reduction using adaptive iterative dose reduction algorithm |
1.Department of Medical Engineer, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015; 2.Department of Radiology, the First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325015; 3.School of Information and Engineering, Wenzhou Medical University, Wenzhou, 325035
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MIAO Miao1,CAO Guoquan2,TAI Yunpeng2, et al. The phantom study of the potential of radiation dose reduction using adaptive iterative dose reduction algorithm[J]. JOURNAL OF WEZHOU MEDICAL UNIVERSITY, 2015, 45(11): 845-.
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Abstract Objective: To study the ability of the reconstruction algorithm of adaptive iterative dose reduction 3D to reduce the radiation dose of CT scanning, under the prernise in image quality undamaged. Methods: A 320-detector CT with volume mode was used to scan the low contrast module CTP515 and the high resolution module CTP528 of the phantom Catphan 500, while seven different tube currents 50, 80, 150, 250, 350, 450, and 550 mA were adopted respectively. CT images were reconstructed using the reconstruction algorithm of Filtered Back Projection and AIDR 3D in three degrees: mild, standard and strong. The noise, contrast-noise ratio, signal-noise ratio and spatial resolution of the images were used to evaluate the quality of the output image yielded by different tube-current/reconstruction-algorithm choices. Results: Using the algorithm of AIDR 3D to reconstruct CT image can significantly reduce image noise and increase contrast-noise ratio and signal-noise ratio with the spatial resolution undamaged. In the best case, the proportion of the radiation could be reduced by 78.41%. Conclusion: The reconstruction algorithm of AIDR 3D has remarkable ability to reduce the radiation dose of CT scanning. Different iteration degrees resultes in different level of reduction.
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Received: 07 May 2015
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[1] 潘建庆, 张梦龙. 常规CT的放射剂量最优化[J]. 医学影像学杂志, 2014, 24(6): 1035-1037.
[2] Xu J, Mahesh M, Tsui BM. Is iterative reconstruction readyfor MDCT?[J]. J Am Coll Radiol, 2009, 6(4): 274-276.
[3] 苟文静, 刘士远, 于红. 高级迭代重建算法在低剂量冠状动脉CT成像中的应用价值[J]. 实用放射学杂志, 2013, 29(1): 107-111.
[4] Hara AK, Paden RG, Silva AC, et al. Iterative reconstruction technique for reducing body radiation dose at CT: feasibility study[J]. Am J Roentgenol, 2009, 193(3): 764-771.
[5] Gupta AK, Nelson RC, Johnson GA, et al. Optimization of eight-element multi-detector row helical CT technology for evaluation of the abdomen[J]. Radiology, 2003, 227(3): 739-745.
[6] Pontana F, Duhamel A, Pagniez J, et al. Chest computed tomography using iterative reconstruction vs filtered back projection (part 2): image quality of low-dose CT examinations in 80 patients[J]. Eur Radiol, 2011, 21(3): 636-643.
[7] Gervaise A, Osemont B, Lecocq S, et al. CT image quality improvement using adaptive iterative dose reduction with wide-volume acquisition on 320-detector CT[J]. Eur Radiol, 2012, 22(2): 295-301.
[8] 严诚, 陈刚, 丁玉芹, 等. 评价迭代重建法与滤过反投影法在冠状动脉CTA检查中的价值[J]. 放射学实践, 2014, 29(6): 663-667.
[9] Tatsugami F, Matsuki M, Nakai G, et a1. The effect of adaptive iterative dose reduction on image quality in 320-detector row CT coronary angiography[J]. Br J Radiol, 2012, 85 (1016): e378-e382.
[10] Silva AC, Lawder HJ, Hara A, et al. Innovations in CT dosereduction strategy: application of the adaptive statistical iterative reconstruction algorithm[J]. Am J Roentgenol, 2010, 194(1): 191-199.
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