LUNG THORAX - Deep Learning Reconstruction of Low-dose CT Images

被引：0
|
作者：
Grawert, Stephanie
机构：
来源：
ROFO-FORTSCHRITTE AUF DEM GEBIET DER RONTGENSTRAHLEN UND DER BILDGEBENDEN VERFAHREN | 2024年 / 196卷 / 08期
关键词：
D O I：
10.1055/a-2295-1104
中图分类号：
R8 [特种医学]; R445 [影像诊断学];
学科分类号：
1002 ; 100207 ; 1009 ;
摘要：
If the radiation dose is reduced during a CT examination, this usually has a negative effect on the image quality, as the image noise increases and more artifacts occur. However, with the help of various reconstruction methods, the strong image noise of such low-dose CT images can be reduced again and the image quality improved. Deep learning algorithms are better than iterative reconstruction methods.
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收藏
页码：783 / 784
页数：2
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