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Agarose-based Tissue Mimicking Optical Phantoms for Diffuse Reflectance Spectroscopy
Published on: August 22, 2018
Optical parameters of embedded abnormalities in tissues as determined by Monte Carlo simulation
1Biomedical Engineering Division, School of Biosciences and Biotechnology, V.I.T. University, Vellore-632014, India.
Electromagnetic Biology and Medicine
|August 18, 2012
Summary
Photon propagation in tissue phantoms was simulated. Different embedded tissues altered backscattered light intensity, with adipose enhancing and spleen decreasing it, aiding abnormality detection.
Area of Science:
- Biomedical optics
- Medical imaging physics
- Tissue optical properties
Background:
- Understanding photon propagation in biological tissues is crucial for developing optical diagnostic techniques.
- Tissue phantoms allow controlled investigation of light-tissue interactions.
- Deep-seated abnormalities detection remains a challenge in optical imaging.
Purpose of the Study:
- To investigate how different embedded tissues (adipose, spleen) within a heart tissue phantom affect photon propagation and backscattered light.
- To assess the feasibility of using backscattered light variations for detecting embedded tissue abnormalities.
- To evaluate the performance of a Monte Carlo simulation with a source-detector model for this purpose.
Main Methods:
- Monte Carlo simulations were employed to model photon propagation through tissue phantoms.
- Phantoms consisted of heart tissue with embedded adipose and spleen tissues.
- Simulations involved scanning the phantom surface with a light source and four detectors.
Main Results:
- Variations in backscattered light intensity were observed corresponding to the embedded adipose and spleen tissues.
- Adipose tissue enhanced the backscattered fraction, while spleen tissue decreased it, measured at 2 mm from the input fiber.
- These alterations were evident in surface scan profiles and reconstructed images.
Conclusions:
- The type of embedded tissue significantly alters the backscattered light fraction.
- This differential response holds potential for detecting deep-seated abnormalities based on optical properties.
- The simulation model effectively demonstrated variations in light scattering due to tissue heterogeneity.

