Reducing noise of low dose CT images with Zero-Shot Noise2Noise based on Z-axis correlation
10.13929/j.issn.1003-3289.2024.11.027
- VernacularTitle:基于Z轴相关性Zero-Shot Noise2Noise降低低剂量CT图像噪声
- Author:
Jinxia LI
1
;
Jingjing LI
;
Dan XIAO
;
Hongbo ZHAO
;
Shouping ZHU
Author Information
1. 西安医学院医学技术学院,陕西西安 710021
- Keywords:
noise;
low dose;
tomography,X-ray computed;
machine learning
- From:
Chinese Journal of Medical Imaging Technology
2024;40(11):1764-1768
- CountryChina
- Language:Chinese
-
Abstract:
Objective To observe the value of Zero-Shot Noise2Noise(ZS-N2N)based on Z-axis correlation for reducing noise of low dose CT(LDCT)images.Methods CT data of the cancer imaging archive were enrolled,including normal dose CT(NDCT)images and LDCT images,with 3 sets of chest and 3 sets of abdominal images.Noise on LDCT images were reduced with ZS-N2N method based on Z-axis correlation,and the peak signal-to-noise ratio(PSNR),structural similarity(SSIM)and time-consuming of reducing noise were compared with those of Self2Self,simple ZS-N2N and traditional Block-matching and 3D filtering(BM3D).Results After reducing noise,noise on Self2Self denoised images remained significant,the structure edges on BM3D denoised images were blurry with some details lost,while simple ZS-N2N and ZS-N2N based on Z-axis correlation denoised images preserved more details and had better quality.PSNR and SSIM of Self2Self denoised images were poor and the time-consuming were longer.PSNR,SSIM and time-consuming of the other 3 methods were similar,among which PSNR of ZS-N2N based on Z-axis correlation were slightly higher than BM3D and simple ZS-N2N,but the time-consuming were also slightly longer.Conclusion ZS-N2N based on Z-axis correlation had high value for reducing noise of LDCT images.
