Modeling of Light Propagation through Biological Tissues: A Novel Approach

2007 ◽  
Author(s):  
Chintha C. Handapangoda ◽  
Malin Premaratne ◽  
Leslie Yeo ◽  
James Friend
Keyword(s):  
Light Propagation ◽  
Biological Tissues ◽  
Novel Approach

scholarly journals Generalized Beer–Lambert model for near-infrared light propagation in thick biological tissues

2016 ◽  
Vol 21 (7) ◽  
pp. 076012 ◽  
Author(s):  
Manish Bhatt ◽  
Kalyan R. Ayyalasomayajula ◽  
Phaneendra K. Yalavarthy
Keyword(s):  
Light Propagation ◽  
Near Infrared ◽  
Biological Tissues ◽  
Infrared Light ◽  
Near Infrared Light ◽  
Lambert Model

A DIFFUSION–TRANSPORT HYBRID METHOD FOR ACCELERATING OPTICAL TOMOGRAPHY

2010 ◽  
Vol 03 (04) ◽  
pp. 293-305 ◽  
Author(s):  
HYUN KEOL KIM ◽  
ANDREAS H. HIELSCHER
Keyword(s):  
Hybrid Method ◽  
Light Propagation ◽  
Optical Tomography ◽  
Biological Tissues ◽  
Initial Guess ◽  
Computationally Efficient ◽  
Diffusion Transport ◽  
Tissue Phantoms ◽  
Hybrid Solver ◽  
Reconstruction Time

It is well acknowledged that the equation of radiative transfer (ERT) provides an accurate prediction of light propagation in biological tissues, while the diffusion approximation (DA) is of limited accuracy for the transport regime. However, ERT-based reconstruction codes require much longer computation times as compared to DA-based reconstruction codes. We introduce here a computationally efficient algorithm, called a diffusion–transport hybrid solver, that makes use of the DA- or low-order ERT-based inverse solution as an initial guess for the full ERT-based reconstruction solution. To evaluate the performance of this hybrid method, we present extensive studies involving numerical tissue phantoms and experimental data. As a result, we show that the hybrid method reduces the reconstruction time by a factor of up to 23, depending on the physical character of the problem.

scholarly journals Imaging the Electro-Kinetic Response of Biological Tissues with Optical Coherence Tomography

2021 ◽  
Author(s):  
Valentin Demidov
Keyword(s):  
Optical Coherence Tomography ◽  
Soft Tissues ◽  
Low Frequency ◽  
Depth Resolution ◽  
Biological Tissues ◽  
Phase Changes ◽  
Optical Coherence ◽  
Ac Electric Field ◽  
Novel Approach ◽  
Phase Images

This thesis reports on developing a novel approach to imaging the electro-kinetic response of biological tissues with optical coherence tomography (OCT). The changes of backscattered OCT signal from tissues were investigated with a low frequency AC electric field being applied to the tissues. Advanced processing algorithms were developed to analyze the amplitude and phase changes of OCT signal. Two-dimensional electrically induced optical changes (EIOC) amplitude and phase images related to the electro-kinetic response of soft tissues were obtained with depth resolution and compared with structural OCT images. The procedure for removing the background noise from EIOC images was introduced.

scholarly journals Monte Carlo methods for light propagation in biological tissues

2015 ◽  
Vol 269 ◽  
pp. 48-60 ◽  
Author(s):  
Laura Vinckenbosch ◽  
Céline Lacaux ◽  
Samy Tindel ◽  
Magalie Thomassin ◽  
Tiphaine Obara
Keyword(s):  
Monte Carlo ◽  
Monte Carlo Methods ◽  
Light Propagation ◽  
Biological Tissues
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