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29 April 2014 The Toast++ software suite for forward and inverse modeling in optical tomography
Martin Schweiger, Simon R. Arridge
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Journal of Biomedical Optics, Vol. 19, Issue 4, 040801 (April 2014). https://doi.org/10.1117/1.JBO.19.4.040801
Abstract
We present the Toast++ open-source software environment for solving the forward and inverse problems in diffuse optical tomography (DOT). The software suite consists of a set of libraries to simulate near-infrared light propagation in highly scattering media with complex boundaries and heterogeneous internal parameter distribution, based on a finite-element solver. Steady-state, time- and frequency-domain data acquisition systems can be modeled. The forward solver is implemented in C++ and supports performance acceleration with parallelization for shared and distributed memory architectures, as well as graphics processing computation. Building on the numerical forward solver, Toast++ contains model-based iterative inverse solvers for reconstructing the volume distribution of absorption and scattering parameters from boundary measurements of light transmission. A range of regularization methods are provided, including the possibility of incorporating prior knowledge of internal structure. The user can link to the Toast++ libraries either directly to compile application programs for DOT, or make use of the included MATLAB and PYTHON bindings to generate script-based solutions. This approach allows rapid prototyping and provides a rich toolset in both environments for debugging, testing, and visualization.
CC BY: © The Authors. Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
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Martin Schweiger and Simon R. Arridge "The Toast++ software suite for forward and inverse modeling in optical tomography," Journal of Biomedical Optics 19(4), 040801 (29 April 2014). https://doi.org/10.1117/1.JBO.19.4.040801
Published: 29 April 2014
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Cited by 212 scholarly publications and 5 patents.
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KEYWORDS
MATLAB
Visualization
Interfaces
Finite element methods
Absorption
C++
Chemical elements
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