Diffuse Optical Tomography: Principles and Applications

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ISBN 9781439847572
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Features

  • Covers the fundamental principles of DOT
  • Shows how to implement both the hardware and software needed to configure DOT imaging
  • Provides mathematical foundation and computational methods included
  • Explains how to set up experimental imaging systems for DOT and how to translate laboratory studies into clinical experiments
  • Includes various clinical and animal studies

Summary

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

Introduction

Diffuse Optical Tomography

Image Reconstruction

Reconstruction Algorithms

Introduction/Historical Account

Reconstruction Algorithm

Experimental Materials and Methods

Results

Discussion

Instrumentation and Calibration Methods

Introduction/Historical Account

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

Introduction/Historical Account

Contrast, Spatial Resolution and Multiple Targets

Uniqueness and Cross-talk Issues in DOT

Image Enhancement Schemes

Introduction/Historical Account

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

Introduction/Historical Account

Fluorescence DOT

Fluorescence DOT using an oxygen-sensitive dye

DOT-Guided fluorescence DOT of arbitrarily shaped objects

Bioluminescence DOT

DOT-Guided Bioluminescence Tomography

New Contrast Mechanisms and Multi-Modality Approaches

Introduction/Historical Account

Phase-Contrast DOT

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

Introduction/Historical Account

Breast Imaging

Joint Imaging

Brain Imaging

 

Author Bio(s)

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).