Application of Adaptive Search Window-Based Nonlocal Total Variation Filter in Low-Dose Computed Tomography Images: A Phantom Study

被引:0
|
作者
Kim, Hajin [1 ]
Cha, Bo Kyung [2 ]
Kim, Kyuseok [3 ]
Lee, Youngjin [4 ]
机构
[1] Gachon Univ, Dept Hlth Sci, Gen Grad Sch, 191 Hambakmoe Ro, Incheon 21936, South Korea
[2] Korea Electrotechnol Res Inst KERI, Precis Med Device Res Ctr, 111 Hanggaul Ro, Ansan 15588, South Korea
[3] Eulji Univ, Dept Biomed Engn, 553 Sanseong Daero, Seongnam 13135, South Korea
[4] Gachon Univ, Dept Radiol Sci, 191 Hambakmoe Ro, Incheon 21936, South Korea
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 23期
关键词
low-dose computed tomography (CT); X-ray noise reduction; nonlocal total variation (NL-TV) filter; quantitative evaluation of image quality; PARTIAL-VOLUME CORRECTION; PULMONARY NODULES; NOISE-REDUCTION; CHEST CT; CANCER;
D O I
10.3390/app142310886
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Computed tomography (CT) imaging using low-dose radiation effectively reduces radiation exposure; however, it introduces noise amplification in the resulting image. This study models an adaptive nonlocal total variation (NL-TV) algorithm that efficiently reduces noise in X-ray-based images and applies it to low-dose CT images. In this study, an AAPM CT performance phantom is used, and the resulting image is obtained by applying an annotation filter and a high-pitch protocol. The adaptive NL-TV filter was designed by applying the optimal window value calculated by confirming the difference between Gaussian filtering and the basic NL-TV approach. For quantitative image quality evaluation parameters, contrast-to-noise ratio (CNR), coefficient of variation (COV), and sigma value were used to confirm the noise reduction effectiveness and spatial resolution value. The CNR and COV values in low-dose CT images using the adaptive NL-TV filter, which performed an optimization process, improved by approximately 1.29 and 1.45 times, respectively, compared with conventional NL-TV. In addition, the adaptive NL-TV filter was able to acquire spatial resolution data that were similar to a CT image without applying noise reduction. In conclusion, the proposed NL-TV filter is feasible and effective in improving the quality of low-dose CT images.
引用
收藏
页数:15
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