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 cancerReal-time" functional brain imagingJoint imaging to treat progressive diseases such as arthritisMonitoring of tumor responseNew contrast mechanisms and multimodality methodsThis 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."--Provided by publisher.
IntroductionDiffuse Optical TomographyImage ReconstructionReconstruction AlgorithmsIntroduction/Historical AccountReconstruction AlgorithmExperimental Materials and MethodsResultsDiscussionInstrumentation and Calibration MethodsIntroduction/Historical AccountSingle-Wavelength Automatic Scanning DOT SystemThree-Wavelength Multi-channel DOT SystemTen-Wavelength 64x64-Channel DOT SystemComputational-based Calibration MethodHybrid Calibration MethodContrast, Spatial Resolution, and Uniqueness of Inverse SolutionIntroduction/Historical AccountContrast, Spatial Resolution and Multiple TargetsUniqueness and Cross-talk Issues in DOTImage Enhancement SchemesIntroduction/Historical AccountTotal Variation Minimization SchemeDual Mesh SchemeAdaptive Mesh SchemeReconstruction based on the third-order diffusion equationsModified Newton MethodFluorescence and Bioluminescence DOTIntroduction/Historical AccountFluorescence DOTFluorescence DOT using an oxygen-sensitive dyeDOT-Guided fluorescence DOT of arbitrarily shaped objectsBioluminescence DOTDOT-Guided Bioluminescence TomographyNew Contrast Mechanisms and Multi-Modality ApproachesIntroduction/Historical AccountPhase-Contrast DOTEnhanced Phase-Contrast DOT: Two-Step Multi-Region ApproachMulti-spectral Cellular DOTMulti-Modality Approaches: Ultrasound Tomography-Guided DOTMulti-Modality Approaches: X-Ray-Guided DOTClinical Applications and Animal StudiesIntroduction/Historical AccountBreast ImagingJoint ImagingBrain Imaging