Ghost imaging for online angiography

被引：0

作者：

Zhaohua Yang ^{[1
]}

Nan Zhang ^{[2
]}

Yuzhe Sun ^{[1
]}

Yuanjin Yu ^{[1
]}

机构：

[1] School of Instrumentation Science and Opto-electronics Engineering, Beihang University

[2] Department of Neurosurgery, Beijing Anzhen Hospital, Capital Medical University

来源：

TranslationalNeuroscienceandClinics | 2017年 / 3卷 / 02期

关键词：

cerebrovascular diseases; cardiovascular diseases; angiography; ghost imaging; computational ghost imaging; spectrum imaging;

D O I：

暂无

中图分类号：

R445.2 [核磁共振成像]; R743 [脑血管疾病];

学科分类号：

100207 ; 1002 ;

摘要：

Ghost imaging(GI) has characteristics that make it promising for applications in life sciences and other fields, such as its high sensitivity and strong anti-interference compared with traditional imaging. This paper presents a new approach for online angiography using GI. Two signals are correlation-calculated to detect the object image: one of them is the random light field generated by a computer, and the other enters the optical fiber path after being transmitted to the detected object via a modulator. A new approach for the real-time imaging of intravascular flow, vascular wall structures, and components of atherosclerotic plaque is proposed, which has the advantages of a high sensitivity and anti-interference.

引用

页码：116 / 120

页数：5

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