Supervised machine learning technique for reduction of radiation dose in computed tomography imaging

• 收藏
• 分享

专利权人:

THE UNIVERSITY OF CHICAGO

发明人:

Kenji Suzuki

申请号：

US14423997

公开号：

US09332953B2

申请日:

2013.08.30

申请国别(地区):

US

年份:

2016

代理人:

摘要：

Substantial reduction of the radiation dose in computed tomography (CT) imaging is shown using a machine-learning dose-reduction technique. Techniques are provided that (1) enhance low-radiation dosage images, beyond just reducing noise, and (2) may be combined with other approaches, such as adaptive exposure techniques and iterative reconstruction, for radiation dose reduction.

来源网站：

中国工程科技知识中心

来源网址：

http://www.ckcest.cn/home/