13 March 2013 Image denoising of low-radiation dose coronary CT angiography by an adaptive block-matching 3D algorithm
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Proceedings Volume 8669, Medical Imaging 2013: Image Processing; 86692G (2013) https://doi.org/10.1117/12.2006907
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States
Abstract
Our aim in this study was to optimize and validate an adaptive denoising algorithm based on Block-Matching 3D, for reducing image noise and improving assessment of left ventricular function from low-radiation dose coronary CTA. In this paper, we describe the denoising algorithm and its validation, with low-radiation dose coronary CTA datasets from 7 consecutive patients. We validated the algorithm using a novel method, with the myocardial mass from the low-noise cardiac phase as a reference standard, and objective measurement of image noise. After denoising, the myocardial mass were not statistically different by comparison of individual datapoints by the students' t-test (130.9±31.3g in low-noise 70% phase vs 142.1±48.8g in the denoised 40% phase, p= 0.23). Image noise improved significantly between the 40% phase and the denoised 40% phase by the students' t-test, both in the blood pool (p <0.0001) and myocardium (p <0.0001). In conclusion, we optimized and validated an adaptive BM3D denoising algorithm for coronary CTA. This new method reduces image noise and has the potential for improving assessment of left ventricular function from low-dose coronary CTA.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Dongwoo Kang, Dongwoo Kang, Piotr Slomka, Piotr Slomka, Ryo Nakazato, Ryo Nakazato, Jonghye Woo, Jonghye Woo, Daniel S. Berman, Daniel S. Berman, C.-C. Jay Kuo, C.-C. Jay Kuo, Damini Dey, Damini Dey, } "Image denoising of low-radiation dose coronary CT angiography by an adaptive block-matching 3D algorithm", Proc. SPIE 8669, Medical Imaging 2013: Image Processing, 86692G (13 March 2013); doi: 10.1117/12.2006907; https://doi.org/10.1117/12.2006907
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