INDEPENDENT COMPONENT ANALYSIS BASED RING ARTIFACT REDUCTION IN CONE-BEAM CT IMAGES

被引:3
|
作者
Chen, Yen-Wei
Duan, Guifen
机构
关键词
CBCT images Ring artifact reduction; Mean filter; Independent component analysis (ICA); MICROTOMOGRAPHY; TOMOGRAPHY;
D O I
10.1109/ICIP.2009.5414528
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cone-beam CT (CBCT) scanners are based on volumetric tomography, using a 2D extended digital array providing an area detector [1]. Compared to traditional CT, CBCT has many advantages, such as less X-ray beam limitation, high image accuracy, rapid scan time, etc. However, In CBCT images there are always some ring artifacts that appear as rings centered on the rotation axis. Due to the data of the constructed images are corrupted by these ring artifacts, qualitative and quantitative analysis of CBCT images will be compromised. Post processing and application such as image segmentation and registration also turn more complex as the presence of such artifacts. In this paper, a method based on independent component analysis (ICA) is presented. It deals with the reconstructed CBCT image and can effectively reduce such ring artifacts.
引用
收藏
页码:4189 / 4192
页数:4
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