A fiber optic approach for in vivo minimally invasive study of tissue optical properties

2004 ◽  
Author(s):  
Ilko K. Ilev ◽  
Ronald W. Waynant ◽  
Kimberly R. Byrnes ◽  
Juanita Anders
Keyword(s):  
Optical Properties ◽  
Minimally Invasive ◽  
Fiber Optic ◽  
Tissue Optical Properties

scholarly journals Machine learning estimation of tissue optical properties

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Brett H. Hokr ◽  
Joel N. Bixler
Keyword(s):  
Neural Network ◽  
Optical Properties ◽  
Biological Tissues ◽  
Homogeneous Layer ◽  
In Vivo Measurement ◽  
Tissue Optical Properties ◽  
The Neural Network ◽  
Spatio Temporal ◽  
Fully Connected

AbstractDynamic, in vivo measurement of the optical properties of biological tissues is still an elusive and critically important problem. Here we develop a technique for inverting a Monte Carlo simulation to extract tissue optical properties from the statistical moments of the spatio-temporal response of the tissue by training a 5-layer fully connected neural network. We demonstrate the accuracy of the method across a very wide parameter space on a single homogeneous layer tissue model and demonstrate that the method is insensitive to parameter selection of the neural network model itself. Finally, we propose an experimental setup capable of measuring the required information in real time in an in vivo environment and demonstrate proof-of-concept level experimental results.

scholarly journals In-vivo tissue optical properties derived by linear perturbation theory for edge-corrected time-domain mammograms

2005 ◽  
Vol 13 (21) ◽  
pp. 8571 ◽  
Author(s):  
B. Wassermann ◽  
A. Kummrow ◽  
K. T. Moesta ◽  
D. Grosenick ◽  
J. Mucke ◽  
...  
Keyword(s):  
Optical Properties ◽  
Perturbation Theory ◽  
Time Domain ◽  
Linear Perturbation ◽  
Tissue Optical Properties ◽  
Linear Perturbation Theory
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