Denoising of Low Dose CT Image with Context - Based BM3D

被引：0
|
作者：
Chen, L. L. [1 ]
Gou, S. P. [1 ]
Yao, Yao [1 ]
Bai, Jing [1 ]
Jiao, Licheng [1 ]
Sheng, Ke [1 ]
机构：
[1] Xidian Univ, Key Lab Intelligent Percept & Image Understanding, Minist Educ China, Xian, Peoples R China
来源：
PROCEEDINGS OF THE 2016 IEEE REGION 10 CONFERENCE (TENCON) | 2016年
基金：
中国国家自然科学基金;
关键词：
black-matching; context; visual attention; denoising; TOMOTHERAPY;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Low-dose CT scanning can efficiently reduce the amount of radiation to the patient, which leads to a decline in image quality and influences the doctor's diagnosis of lesions. An improved block-matching and 3D filtering (BM3D) based on the context is proposed to reduce the noise of low-dose CT and improve the image quality. Further, a visual attention method is used to highlight the lesions so that the diseased tissues can be improved in imaging contrast. The Contrast-to-noise ratios (CNR) of 2 regions-of-interest were improved from 0.8 and 0.7 to 1.2 and 2.5, respectively for two patients. For the liver patient, the difficult-to-see lesions in the original CT image became highly visible in our study.
引用
收藏
页码：682 / 685
页数：4
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