Maximum likelihood methods for time-resolved imaging through turbid media

被引:1
作者
Eriksson, Brian [1 ]
Nowak, Robert [1 ]
机构
[1] Univ Wisconsin, Dept Elect & Comp Engn, 1415 Engn Dr, Madison, WI 53706 USA
来源
2006 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP 2006, PROCEEDINGS | 2006年
关键词
image reconstruction; poisson processes; EM algorithm; time-resolved transillumination imaging;
D O I
10.1109/ICIP.2006.312462
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Recently technological advances now enable time-gated acquisitions of photons at very fast rates. This can allow one to separate scattered and unscattered photons in transillumination imaging. Time-resolved transillumination (TRT) imaging opens the door to an new type of imaging through turbid (scattering) media such as soft tissue and fog/smoke, and exciting potential applications in bioimaging and surveillance. This paper proposes a novel Maximum Likelihood based approach to TRT image reconstruction.
引用
收藏
页码:641 / +
页数:2
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