Optical Imaging

Simon R. Arridge (), Jari P. Kaipio (), Ville Kolehmainen () and Tanja Tarvainen ()
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Simon R. Arridge: University College London, Department of Computer Science
Jari P. Kaipio: University of Auckland, Department of Mathematics
Ville Kolehmainen: University of Eastern Finland, Department of Physics and Mathematics
Tanja Tarvainen: University of Eastern Finland, Department of Physics and Mathematics

A chapter in Handbook of Mathematical Methods in Imaging, 2015, pp 1033-1079 from Springer

Abstract: Abstract This chapter discusses diffuse optical tomography. We present the origins of this method in terms of spectroscopic analysis of tissue using near-infrared light and its extension to an imaging modality. Models for light propagation at the macroscopic and mesoscopic scale are developed from the radiative transfer equation (RTE). Both time- and frequency-domain systems are discussed. Some formal results based on Green’s function models are presented, and numerical methods are described based on discrete finite element method (FEM) models and a Bayesian framework for image reconstruction. Finally, some open questions are discussed.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-1-4939-0790-8_21

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DOI: 10.1007/978-1-4939-0790-8_21

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