This study aimed to quantitatively analyze the effciency of the fast non-local means (FNLM) filter in increasing the nodule
detection sensitivity in pediatric chest computed tomography (CT) using 3D-printed lung nodules. For that purpose, we
compared filtered back projection (FBP) with FNLM filter with iterative reconstruction (IR) method. The performance of
the proposed FNLM filter was compared through various quantitative evaluations by modeling the previously used noise
reduction methods. When the FNLM filter was applied to the acquired FBP reconstruction method-based CT image, the
coeffcient of variation and contrast-to-noise ratio values in the lung nodule region showed similar values to those of the IR
method. In addition, it was demonstrated that the point spread function value that can evaluate sharpness can be improved
by using the FNLM filter. In conclusion, the results of this study are expected to maximize the image quality and reduce the
dose by fusing the CT image reconstructed by the FBP method and the FNLM filter with excellent characteristics.
Jina Shim
Department of Diagnostic Radiology, Severance Hospital,
50-1, Yonsei-ro, Seodaemun-gu, Seoul, Republic of Korea
Myonggeun Yoon*
Department of Bioengineering, Korea University, 145,
Anam-ro, Seongbuk-gu, Seoul, Republic of Korea
Youngjin Lee*
Department of Radiological Science, Gachon University,
191, Hambakmoe-ro, Yeonsu-gu, Incheon, Republic of Korea
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