High Resolution, Deep Imaging Using Confocal Time-of-Flight Diffuse Optical Tomography

被引:25
|
作者
Zhao, Yongyi [1 ]
Raghuram, Ankit [1 ]
Kim, Hyun K. [2 ,3 ]
Hielscher, Andreas H. [4 ]
Robinson, Jacob T. [1 ]
Veeraraghavan, Ashok [1 ]
机构
[1] Rice Univ, Dept Elect Comp Engn, Houston, TX 77005 USA
[2] Columbia Univ, Dept Radiol, New York, NY 10027 USA
[3] New York Univ, Dept Biomed Engn, New York, NY 11201 USA
[4] New York Univ, Dept Biomed Engn, New York, NY 11201 USA
关键词
Time-of-flight imaging; diffuse optical tomography; confocal; time binning; fluorescence imaging; FLUORESCENCE; ALGORITHM; PHANTOMS;
D O I
10.1109/TPAMI.2021.3075366
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Light scattering by tissue severely limits how deep beneath the surface one can image, and the spatial resolution one can obtain from these images. Diffuse optical tomography (DOT) is one of the most powerful techniques for imaging deep within tissue - well beyond the conventional similar to 10-15 mean scattering lengths tolerated by ballistic imaging techniques such as confocal and twophoton microscopy. Unfortunately, existing DOT systems are limited, achieving only centimeter-scale resolution. Furthermore, they suffer from slow acquisition times and slow reconstruction speeds making real-time imaging infeasible. We show that time-of-flight diffuse optical tomography (ToF-DOT) and its confocal variant (CToF-DOT), by exploiting the photon travel time information, allow us to achieve millimeter spatial resolution in the highly scattered diffusion regime (>50 mean free paths). In addition, we demonstrate two additional innovations: focusing on confocal measurements, and multiplexing the illumination sources allow us to significantly reduce the measurement acquisition time. Finally, we rely on a novel convolutional approximation that allows us to develop a fast reconstruction algorithm, achieving a 100x speedup in reconstruction time compared to traditional DOT reconstruction techniques. Together, we believe that these technical advances serve as the first step towards real-time, millimeter resolution, deep tissue imaging using DOT.
引用
收藏
页码:2206 / 2219
页数:14
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