Description
By (author) Wang Lihong V.; By (author) Wu, Hsin-i
Short /annotation:
The premier comprehensive reference on biomedical optics for practitioners and studentsBiophotonics is a rapidly growing field with applications in medicine, genetics, biology, agriculture, and environmental science.
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This entry-level textbook, covering the area of tissue optics, is based on the lecture notes for a graduate course (Bio-optical Imaging) that has been taught six times by the authors at Texas A&M University. After the fundamentals of photon transport in biological tissues are established, various optical imaging techniques for biological tissues are covered. The imaging modalities include ballistic imaging, quasi-ballistic imaging (optical coherence tomography), diffusion imaging, and ultrasound-aided hybrid imaging. The basic physics and engineering of each imaging technique are emphasized.
A solutions manual is available for instructors; to obtain a copy please email the editorial department at ialine.
Table of contents:
Preface.
1. INTRODUCTION.
1.1.Motivation for optical imaging.
1.2.General behavior of light in biological tissue.
1.3.Basic physics of light-matter interaction.
1.4.Absorption and its biological origins.
1.5.Scattering and its biological origins.
1.6.Polarization and its biological origins.
1.7.Fluorescence and its biological origins.
1.8.Image characterization.
1.9.References.
1.10.Further readings.
1.11.Problems.
2. RAYLEIGH THEORY AND MIE THEORY FOR A SINGLE SCATTERER.
2.1.Introduction.
2.2.Summary of the Rayleigh theory.
2.3.Numerical example of the Rayleigh theory.
2.4.Summary of the Mie theory.
2.5.Numerical example of the Mie theory.
2.6.Appendix 2.A. Derivation of the Rayleigh theory.
2.7.Appendix 2.B. Derivation of the Mie theory.
2.8.References.
2.9.Further readings.
2.10.Problems.
3. MONTE CARLO MODELING OF PHOTON TRANSPORT IN BIOLOGICAL TISSUE.
3.1.Introduction.
3.2.Monte Carlo method.
3.3.Definition of problem.
3.4.Propagation of photons.
3.5.Physical quantities.
3.6.Computational examples.
3.7.Appendix 3.A. Summary of MCML.
3.8.Appendix 3.B. Probability density function.
3.9.References.
3.10.Further readings.
3.11.Problems.
4. CONVOLUTION FOR BROADBEAM RESPONSES.
4.1.Introduction.
4.2.General formulation of convolution.
4.3.Convolution over a Gaussian beam.
4.4.Convolution over a top-hat beam.
4.5.Numerical solution to convolution.
4.6.Computational examples.
4.7.Appendix 4.A. Summary of CONV.
4.8.References.
4.9.Further readings.
4.10.Problems.
5. RADIATIVE TRANSFER EQUATION AND DIFFUSION THEORY.
5.1.Introduction.
5.2.Definitions of physical quantities.
5.3.Derivation of the radiative transport equation.
5.4.Diffusion theory.
5.5.Boundary conditions.
5.6.Diffuse reflectance.
5.7.Photon propagation regimes.
5.8.References.
5.9.Further readings.
5.10.Problems.
6. HYBRID MODEL OF MONTE CARLO METHOD AND DIFFUSION THEORY.
6.1.Introduction.
6.2.Definition of problem.
6.3.Diffusion theory.
6.4.Hybrid model.
6.5.Numerical computation.
6.6.Computational examples.
6.7.References.
6.8.Further readings.
6.9.Problems.
7. SENSING OF OPTICAL PROPERTIES AND SPECTROSCOPY.
7.1.Introduction.
7.2.Collimated transmission method.
7.3.Spectrophotometry.
7.4.Oblique-incidence reflectometry.
7.5.White-light spectroscopy.
7.6.Time-resolved measurement.
7.7.Fluorescence spectrosco
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