Improving low-dose abdominal CT images by Weighted Intensity Averaging over Large-scale Neighborhoods
Improving low-dose abdominal CT images by Weighted Intensity Averaging over Large-scale Neighborhoods
复制标题
通过大规模邻域的加权强度平均来改善低剂量腹部 CT 图像
DOI:
10.1016/j.ejrad.2010.07.003
复制
发表时间:
2011-11-01
影响因子:
3.3
通讯作者:
Yu, Xiaoe
中科院分区:
文献类型:
--
作者:
Chen, Yang;Chen, Wufan;Yu, Xiaoe
Purpose: Though highly desirable in radiologic procedures, low-dose CT (LDCT) images tend to be severely degraded by quantum noise and non-stationary artifacts. The purpose of this paper is to improve the abdominal LDCT images by the approach of Weighted Intensity Averaging over Large-scale Neighborhoods (WIA-LN).Materials and methods: In the implementation of the proposed WIA-LN method, the processed pixel intensities are adaptively calculated as the weighted intensity averaging of the pixels with similar surrounding structures throughout a large-scale neighborhood. Both phantom and clinical abdominal CT images from a 16 detector rows Siemens CT were acquired at standard and 80% reduced tube current time products (150 mA s and 30 mA s corresponding to standard-dose and low-dose protocols, respectively). Visual comparison, statistical qualitative analysis (image quality scores and hepatic cyst diagnosis), and quantitative calculation (noise and contrast-to-noise ratio) are made.Results: Better vision and quantitative performance are realized using the proposed WIA-LN method. Compared to original LDCT and standard-dose CT (SDCT) images, statistically significant improvement of noise/artifacts suppression, contrast preservation and hepatic cyst detection in LDCT images are achieved by using the proposed method (P < 0.05).Conclusion: With the tube current reduced to approximate one-fifth of the standard tube current setting, clinically acceptable images can still be obtained by using the proposed method. Crown Copyright (C) 2010 Published by Elsevier Ireland Ltd. All rights reserved.