Image reconstruction for diffuse optical tomography based on radiative transfer equation

Bo Bi; Bo Han; Weimin Han; Jinping Tang; Li Li

doi:10.1155/2015/286161

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Image reconstruction for diffuse optical tomography based on radiative transfer equation

Journal article

Open access

Peer reviewed

Image reconstruction for diffuse optical tomography based on radiative transfer equation

Bo Bi, Bo Han, Weimin Han, Jinping Tang and Li Li

Computational and mathematical methods in medicine, Vol.2015, pp.286161-23

2015

DOI: 10.1155/2015/286161

PMCID: PMC4310238

PMID: 25648064

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https://doi.org/10.1155/2015/286161View

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Abstract

Diffuse optical tomography is a novel molecular imaging technology for small animal studies. Most known reconstruction methods use the diffusion equation (DA) as forward model, although the validation of DA breaks down in certain situations. In this work, we use the radiative transfer equation as forward model which provides an accurate description of the light propagation within biological media and investigate the potential of sparsity constraints in solving the diffuse optical tomography inverse problem. The feasibility of the sparsity reconstruction approach is evaluated by boundary angular-averaged measurement data and internal angular-averaged measurement data. Simulation results demonstrate that in most of the test cases the reconstructions with sparsity regularization are both qualitatively and quantitatively more reliable than those with standard L₂ regularization. Results also show the competitive performance of the split Bregman algorithm for the DOT image reconstruction with sparsity regularization compared with other existing L₁ algorithms.

Algorithms

Anisotropy

Computer Simulation

Diffusion

Humans

Image Processing, Computer-Assisted - methods

Light

Models, Theoretical

Reproducibility of Results

Scattering, Radiation

Tomography, Optical - methods

Details

Title: Subtitle: Image reconstruction for diffuse optical tomography based on radiative transfer equation
Creators: Bo Bi - Harbin Institute of Technology
Bo Han - Harbin Institute of Technology
Weimin Han - University of Iowa
Jinping Tang - Harbin Institute of Technology
Li Li - Sun Yat-sen University
Resource Type: Journal article
Publication Details: Computational and mathematical methods in medicine, Vol.2015, pp.286161-23
DOI: 10.1155/2015/286161
PMID: 25648064
PMCID: PMC4310238
NLM abbreviation: Comput Math Methods Med
ISSN: 1748-670X
eISSN: 1748-6718
Grant note: DOI: 10.13039/501100001809, name: National Natural Science Foundation of China, award: 91230119, 81071207, 81271622, HIT.IBRSEM.B.201416
Language: English
Date published: 2015
Academic Unit: Mathematics
Record Identifier: 9984240764502771

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