Written by an authority involved in the field since its nascent stages, Diffuse Optical Tomography: Principles and Applications is a long-awaited profile of a revolutionary imaging method. Diffuse Optical Tomography (DOT) provides spatial distributions of intrinsic tissue optical properties or molecular contrast agents through model-based reconstruction algorithms using NIR measurements along or near the boundary of tissue.
Despite the practical value of DOT, many engineers from electrical or applied mathematics backgrounds do not have a sufficient understanding of its vast clinical applications and portability value, or its uncommon advantages as a tool for obtaining functional, cellular, and molecular parameters. A collection of the author’s research and experience, this book fuses historical perspective and experiential anecdotes with fundamental principles and vital technical information needed to successfully apply this technology—particularly in medical imaging.
This reference finally outlines how to use DOT to create experimental image systems and adapt the results of laboratory studies for use in clinical applications including:
- Early-stage detection of breast tumors and prostate cancer
- "Real-time" functional brain imaging
- Joint imaging to treat progressive diseases such as arthritis
- Monitoring of tumor response
- New contrast mechanisms and multimodality methods
This book covers almost every aspect of DOT—including reconstruction algorithms based on nonlinear iterative Newton methods, instrumentation and calibration methods in both continuous-wave and frequency domains, and important issues of imaging contrast and spatial resolution. It also addresses phantom experiments and the development of various image-enhancing schemes, and it describes reconstruction methods based on contrast agents and fluorescence DOT.
Offering a concise description of the particular problems involved in optical tomography, this reference illustrates DOT’s fundamental foundations and the principle of image reconstruction. It thoroughly explores computational methods, forward mathematical models, and inverse strategies, clearly illustrating solutions to key equations.
Table of Contents
Diffuse Optical Tomography
Experimental Materials and Methods
Instrumentation and Calibration Methods
Single-Wavelength Automatic Scanning DOT System
Three-Wavelength Multi-channel DOT System
Ten-Wavelength 64x64-Channel DOT System
Computational-based Calibration Method
Hybrid Calibration Method
Contrast, Spatial Resolution, and Uniqueness of Inverse Solution
Contrast, Spatial Resolution and Multiple Targets
Uniqueness and Cross-talk Issues in DOT
Image Enhancement Schemes
Total Variation Minimization Scheme
Dual Mesh Scheme
Adaptive Mesh Scheme
Reconstruction based on the third-order diffusion equations
Modified Newton Method
Fluorescence and Bioluminescence DOT
Fluorescence DOT using an oxygen-sensitive dye
DOT-Guided fluorescence DOT of arbitrarily shaped objects
DOT-Guided Bioluminescence Tomography
New Contrast Mechanisms and Multi-Modality Approaches
Enhanced Phase-Contrast DOT: Two-Step Multi-Region Approach
Multi-spectral Cellular DOT
Multi-Modality Approaches: Ultrasound Tomography-Guided DOT
Multi-Modality Approaches: X-Ray-Guided DOT
Clinical Applications and Animal Studies
Huabei Jiang, Ph.D., is the J. Crayton Pruitt Family Professor in the Department of Biomedical Engineering at the University of Florida (Gainesville). He has published more than 200 peer-reviewed scientific articles and patents. Dr. Jiang is a Fellow of the Optical Society of America (OSA), a Fellow of the International Society of Optical Engineering (SPIE), and a Fellow of the American Institute of Medical and Biological Engineering (AIMBE).