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http://dx.doi.org/10.7742/jksr.2022.16.3.203

Evaluation of Noise Level and Blind Quality in CT Images using Advanced Modeled Iterative Reconstruction (ADMIRE)  

Shim, Jina (Department of Radiology, Severance Hospital)
Kang, Seong-Hyeon (Department of Radiological Science, College of Health Science, Gachon University)
Lee, Youngjin (Department of Radiological Science, College of Health Science, Gachon University)
Publication Information
Journal of the Korean Society of Radiology / v.16, no.3, 2022 , pp. 203-209 More about this Journal
Abstract
One of the typical methods for lowering radiation dose while maintaining image quality of computed tomography (CT) is the use of model-based iterative reconstruction (MBIR). This study is to evaluate the image quality by adjusting the strength of the advanced modeled iterative reconstruction (ADMIRE), which is well known as a representative model of MBIR. The study was conducted using phantom, and CT images were obtained while adjusting the strength of ADMIRE in units of 1 to 5. Quantitative evaluation includes noise levels using coefficient of variation (COV) and contrast to noise ratio (CNR), as well as natural image quality evaluation (NIQE) and blind/referenceless image spatial quality evaluator (BRISQUE). As a result, in both noise level and blind quality evaluation results, the higher the strength of ADMIRE, the better the results were derived. In particular, it was confirmed that COV and CNR were improved 1.89 and 1.75 times at ADMIRE 5 compared to ADMIRE 1, respectively, and NIQE and BRISQUE were proved to be improved 1.35 and 1.22 times at ADMIRE 5 compared to ADMIRE 1, respectively. In conclusion, this study was proved that the reconstruction strength of ADMIRE had a great influence on the noise level and overall image quality evaluation of CT images.
Keywords
Computed tomography; Model-based iterative reconstruction(MBIR); Advanced modeled iterative reconstruction(ADMIRE); Noise level evaluation; Blind image quality evaluation;
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