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
相关论文
共 50 条
  • [31] Super Resolution Reconstruction Method for Time-of-Flight Range Data Using Complex Compressive Sensing
    Edeler, Torsten
    Ohliger, Kevin
    Hussmann, Stephan
    Mertins, Alfred
    2011 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC), 2011, : 1381 - 1385
  • [32] Spatial resolution analysis for time-domain diffuse optical tomography based on a perturbation model
    Konovalov, Alexander B.
    Vlasov, Vitaly V.
    SARATOV FALL MEETING 2013: OPTICAL TECHNOLOGIES IN BIOPHYSICS AND MEDICINE XV; AND LASER PHYSICS AND PHOTONICS XV, 2014, 9031
  • [33] Modeling and reconstruction of diffuse optical tomography using adjoint method
    Wang, Z. G.
    Sun, L. Z.
    Fajardo, L. L.
    Wang, G.
    COMMUNICATIONS IN NUMERICAL METHODS IN ENGINEERING, 2009, 25 (06): : 657 - 665
  • [34] Limited-Angle Diffuse Optical Tomography Image Reconstruction Using Deep Learning
    Ben Yedder, Hanene
    Shokoufi, Majid
    Cardoen, Ben
    Golnaraghi, Farid
    Hamarneh, Ghassan
    MEDICAL IMAGE COMPUTING AND COMPUTER ASSISTED INTERVENTION - MICCAI 2019, PT I, 2019, 11764 : 66 - 74
  • [35] Deep Learning of Diffuse Optical Tomography Based on Time-Domain Radiative Transfer Equation
    Takamizu, Yuichi
    Umemura, Masayuki
    Yajima, Hidenobu
    Abe, Makito
    Hoshi, Yoko
    APPLIED SCIENCES-BASEL, 2022, 12 (24):
  • [36] Light propagation for time-domain fluorescence diffuse optical tomography by convolution using lifetime function
    Marjono A.
    Okawa S.
    Gao F.
    Yamada Y.
    Optical Review, 2007, 14 (3) : 131 - 138
  • [37] Light propagation for time-domain fluorescence diffuse optical tomography by convolution using lifetime function
    Marjono, Andhi
    Okawa, Shinpei
    Gao, Feng
    Yamada, Yukio
    OPTICAL REVIEW, 2007, 14 (03) : 131 - 138
  • [38] A Way to Improve The Resolution of Breast Diffuse Optical Tomography br
    Li, Lun
    Wu, Dan
    Wen, Yan-Ting
    Chen, Yi
    Chi, Zi-Hui
    Tian, Yin
    Jiang, Hua-Bei
    PROGRESS IN BIOCHEMISTRY AND BIOPHYSICS, 2022, 49 (12) : 2440 - 2449
  • [39] Diffuse optical tomography by using time-resolved single pixel camera
    Farina, A.
    Lepore, M.
    Di Sieno, L.
    Dalla Mora, A.
    Ducros, N.
    Pifferi, A.
    Valentini, G.
    Arridge, S.
    D'Andrea, C.
    OPTICAL TOMOGRAPHY AND SPECTROSCOPY OF TISSUE XI, 2015, 9319
  • [40] Quantitative evaluation of high-density diffuse optical tomography: in vivo resolution and mapping performance
    White, Brian R.
    Culver, Joseph P.
    JOURNAL OF BIOMEDICAL OPTICS, 2010, 15 (02)