||Development of the scaling Monte Carlo method for rapid recovery of superficial volumes of samples
||Department of Photonics
Reduced Scattering Coefficient
Diffuse Reflectance Spectroscopy
Scaling Monte Carlo algorithm
In this thesis, we will use the frequency-domain migration (FDPM) system with a 808 nm laser to quantify physical parameters of biological tissues. In order to obtain the information from superficial volumes of sample, we will conduct the measurement at a short source-detector separation. Because the diffusion theory is not valid under this situation, we establish the scaling Monte Carlo method to be a proper model that describes transportation of photons at a short source-detector separation. We will first confirm the correctness of the scaling Monte Carlo before it is used to determine the optical properties of the liquid phantoms and solid phantoms. Further, we use this system to design a measurement protocol which is employed to evaluate the melanoma phantom. The melanoma phantom is fabricated by silicone. We will determine the physical parameters such as absorption coefficient, scattering coefficient and thickness of the tumor phantoms and understand the performance of the proposed measurement protocol.
Abstract (in Chinese) I
Abstract (in English) II
List of Tables VI
List of Figures VII
List of Symbols X
Chapter 1 Introduction 1
Chapter 2 Theoretical background 4
2.1 Diffusion theory 4
2.1.1 Semi-infinite medium 6
2.1.2 Two-layered medium 8
2.2 Monte Carlo 11
2.3 Scaling Monte Carlo 16
2.3.1 Semi-infinite medium 16
2.3.2 Two-layered medium 18
Chapter 3 Materials and methods 22
3.1 Frequency domain migration system 22
3.2 Liquid phantom 24
3.3 Solid phantom 27
3.4 Melanoma phantom measurement 29
3.4.1 Fabrication process of the tumor phantom 30
3.4.2 Measurement of the tumor phantom 32
3.5 Optical properties determination 35
Chapter 4 Results and discussion 38
4.1 The validity of scaling Monte Carlo 38
4.2 Recovery of optical properties by using scaling Monte Carlo 47
4.3 Melanoma phantom measurements by FDPM system 53
Chapter 5 Conclusion and future work 62
5.1 Conclusion 62
5.2 Future work 64
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