高空间分辨率关联成像技术研究

Research on high spatial resolution ghost imaging technology

关联成像受限于成像机制,其空间分辨率与时间分辨率相互制约。成像空间分辨率越高,所需的调制散斑越多,对应的采集时间越长。针对此瓶颈,提出采用多个低空间分辨率散斑同时对高空间分辨率物体调制的关联成像方法,利用单像素探测器接收被调制物体信号,并基于迭代算法与压缩感知算法重构高空间分辨率成像物体图像。利用数值仿真验证了所提方法的有效性。研究结果表明,所实现的高空间分辨率关联成像技术大幅降低了调制散斑数量,减少了在线采样时间,在生物医学等要求高空间分辨率且对采样时间苛刻的领域具有重要的应用价值。

Limited by the imaging mechanism,the spatial resolution and temporal resolution of ghost imaging are mutually restricted.If the spatial resolution is higher,more modulation patterns are required,so the longer acquisition time is consumed.Aiming at this bottleneck,a method using multiple low spatial resolution patterns to simultaneously modulate high spatial resolution object is applied,a single-pixel detector is employed to collect the corresponding backscattered signal,and the iterative algorithms and compressed sensing algorithms are employed to construct the high spatial resolution image of the imaging object.The effectiveness of the proposed method is verified by numerical simulations.It is shown that the high spatial resolution ghost imaging technology implemented here can greatly reduce the number of modulated patterns as well as the online sampling time.Therefore,it is believed that the method has important application value in biomedicine and other fields which require high spatial resolution and less sampling time.