Ghost imaging for online angiography

• 作者: Nan Zhang Yuanjin Yu Yuzhe Sun Zhaohua Yang
• 来源期刊: 临床转化神经医学(英文版)
• 学科: 医学
• 年，卷（期）: 2017,（2）
• 页码范围: 116-120
• 页数: 5页
• 分类号: R445.2

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.