A New Method Based on Graphics Processing Units for Fast Near-Infrared Optical Tomography.
Sign Up to like & getrecommendations! Published in 2017 at "Advances in experimental medicine and biology"
DOI: 10.1007/978-3-319-55231-6_26
Abstract: The accuracy of images obtained by Diffuse Optical Tomography (DOT) could be substantially increased by the newly developed time resolved (TR) cameras. These devices result in unprecedented data volumes, which present a challenge to conventional… read more here.
Keywords: optical tomography; graphics processing; processing units; new method ... See more keywords
Discrimination of Complex Activation Patterns in Near Infrared Optical Tomography with Artificial Neural Networks.
Sign Up to like & getrecommendations! Published in 2018 at "Advances in experimental medicine and biology"
DOI: 10.1007/978-3-319-91287-5_50
Abstract: Near-infrared optical tomography (NIROT) has great promise for many clinical problems. Here we focus on the study of brain function. During NIROT image reconstruction of brain activity, an inverse problem has to be solved that… read more here.
Keywords: neural networks; near infrared; infrared optical; optical tomography ... See more keywords
Capacitive charge approach to diffuse optical tomography systems
Sign Up to like & getrecommendations! Published in 2017 at "Optical and Quantum Electronics"
DOI: 10.1007/s11082-017-0988-5
Abstract: In this study the capacitive charge model approach has been explored to evaluate depth information of continuous wave (CW) diffuse optical tomography (DOT) systems. CW DOT systems have two geometric data acquisition structures depending on the laser source… read more here.
Keywords: back reflected; diffuse optical; capacitive charge; model ... See more keywords
Photon fluencies for diffuse optical tomography systems
Sign Up to like & getrecommendations! Published in 2017 at "Optik"
DOI: 10.1016/j.ijleo.2017.05.035
Abstract: Abstract In this work, photon fluencies have been used to explore the depth of buried layers for diffuse optical tomography (DOT) systems. Back-reflected diffuse reflectance data were generated by Monte Carlo Modelling of Light Transport… read more here.
Keywords: diffuse optical; geometry; optical tomography; equation ... See more keywords
An efficient forward model based on the Lattice Boltzmann method for optical tomography
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DOI: 10.1016/j.ijleo.2019.163457
Abstract: Abstract Optical tomography is a powerful tool for preclinical and clinical biomedical research, which enables quantitative observation and precise localization of regions of interest within biological tissues. However, the excessive time caused by the forward… read more here.
Keywords: phantom; method; forward model; optical tomography ... See more keywords
Greedy algorithms for diffuse optical tomography reconstruction
Sign Up to like & getrecommendations! Published in 2018 at "Optics Communications"
DOI: 10.1016/j.optcom.2017.09.056
Abstract: Abstract Diffuse optical tomography (DOT) is a noninvasive imaging modality that reconstructs the optical parameters of a highly scattering medium. However, the inverse problem of DOT is ill-posed and highly nonlinear due to the zig-zag… read more here.
Keywords: greedy algorithms; diffuse optical; matching pursuit; optical tomography ... See more keywords
Diffuse optical tomography to investigate the newborn brain
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DOI: 10.1038/pr.2017.107
Abstract: Over the past 15 years, functional near-infrared spectroscopy (fNIRS) has emerged as a powerful technology for studying the developing brain. Diffuse optical tomography (DOT) is an extension of fNIRS that combines hemodynamic information from dense… read more here.
Keywords: diffuse optical; optical tomography; brain diffuse; brain ... See more keywords
Lipschitz stability at the boundary for time-harmonic diffuse optical tomography
Sign Up to like & getrecommendations! Published in 2020 at "Applicable Analysis"
DOI: 10.1080/00036811.2020.1758314
Abstract: We study the inverse problem in Optical Tomography of determining the optical properties of a medium $\Omega\subset\mathbb{R}^n$, with $n\geq 3$, under the so-called diffusion approximation. We consider the time-harmonic case where $\Omega$ is probed with… read more here.
Keywords: lipschitz stability; optical tomography; time harmonic;
Sparsity and level set regularization for diffuse optical tomography using a transport model in 2D
Sign Up to like & getrecommendations! Published in 2017 at "Inverse Problems"
DOI: 10.1088/0266-5611/33/1/014001
Abstract: In this paper we address an inverse problem for the time-dependent linear transport equation (or radiative transfer equation) in 2D having in mind applications in diffuse optical tomography (DOT). We propose two new reconstruction algorithms… read more here.
Keywords: reconstruction; diffuse optical; optical tomography; equation ... See more keywords
Nonconvex and nonsmooth total variation regularization method for diffuse optical tomography based on RTE * * Submitted Funding: this work is supported by the National Natural Science Foundation of China (Grant No. 11701159).
Sign Up to like & getrecommendations! Published in 2021 at "Inverse Problems"
DOI: 10.1088/1361-6420/abf5ed
Abstract: Diffuse optical tomography with near-infrared light is a promising technique for noninvasive study of the functional characters of human tissues. Mathematically, it is a seriously ill-posed parameter identification problem. For the purpose of better providing… read more here.
Keywords: nonsmooth total; diffuse optical; total variation; regularization ... See more keywords
Regularization of the factorization method applied to diffuse optical tomography
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DOI: 10.1088/1361-6420/ac37f9
Abstract: In this paper, we develop a new regularized version of the factorization method for positive operators mapping a complex Hilbert space into it is dual space. The factorization method uses Picard’s criteria to define an… read more here.
Keywords: factorization method; regularization factorization; method; diffuse optical ... See more keywords