Zhaohua Yang1, Nan Zhang2, Yuzhe Sun1, Yuanjin Yu1
1 School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China;
2 Department of Neurosurgery, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
Ghost imaging for online angiography
Zhaohua Yang1, Nan Zhang2, Yuzhe Sun1, Yuanjin Yu1
1 School of Instrumentation Science and Opto-electronics Engineering, Beihang University, Beijing 100191, China;
2 Department of Neurosurgery, Beijing Anzhen Hospital, Capital Medical University, Beijing 100029, China
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.
Abstract: 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.
20170712150243 Figure 1 Principle of traditional optical path in intensity-dependent imaging.
20170712150251 Figure 2 Principle of CGI.
20170712150302 Figure 3 System diagram.
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