High resolution, deep imaging using confocal time-of-flight diffuse optical tomography
… making real-time imaging infeasible. We show that time-of-flight diffuse optical tomography
(ToF-DOT) … Fang, “Direct approach to compute Jacobians for diffuse optical tomography using …
(ToF-DOT) … Fang, “Direct approach to compute Jacobians for diffuse optical tomography using …
[PDF][PDF] High density time-of-flight diffuse optical tomography
A Raghuram - 2022 - repository.rice.edu
… Diffuse Optical Tomography (DOT) has recently emerged as a methodology for non-invasive
brain imaging. The … the Jacobian as we are not limited in Jacobian compute time. …
brain imaging. The … the Jacobian as we are not limited in Jacobian compute time. …
Evaluation of temporal moments and Fourier transformed data in time-domain diffuse optical tomography
M Mozumder, T Tarvainen - JOSA A, 2020 - opg.optica.org
… In this work, we consider the use of the first temporal moment (mean time of flight) $\langle t
\… Since we aim at computationally efficient solutions, we compute point estimate(s) from the …
\… Since we aim at computationally efficient solutions, we compute point estimate(s) from the …
Role of late photons in diffuse optical imaging
… of these highly diffuse, “late” photons for computational time-of-flight diffuse optical imaging.
In … the importance in the strongly diffusive regime of fully time-resolved imaging techniques. …
In … the importance in the strongly diffusive regime of fully time-resolved imaging techniques. …
High-Speed Time-Domain Diffuse Optical Tomography With a Sensitivity Equation-Based Neural Network
… Synthetic data were also simulated to contain noise, by adding a noise term to the time-of-flight
(TOF) measurement 𝑧̅ in the form of 𝑧(𝑡)90< = 𝑧̅(𝑡) + ωσ893<1 , where 𝜎893<1 is …
(TOF) measurement 𝑧̅ in the form of 𝑧(𝑡)90< = 𝑧̅(𝑡) + ωσ893<1 , where 𝜎893<1 is …
Unrolled-DOT: an interpretable deep network for diffuse optical tomography
… Time-of-flight diffuse optical tomography (ToF-DOT) is one of … The computational
processing in these experiments includes … and testing our models, and computational post-processing, …
processing in these experiments includes … and testing our models, and computational post-processing, …
Computationally-efficient linear scheme for overlap time-gating spatial frequency domain diffuse optical tomography using an analytical diffusion model
Y Dong, W Bai, Y Zhang, L Zhang, D Liu… - Biomedical Optics …, 2024 - opg.optica.org
… and the forward model predictions through the convolution of system's IRF with TR data
predicted by the forward model [19,20], or using IRF to solve for the true photon time-of-flight …
predicted by the forward model [19,20], or using IRF to solve for the true photon time-of-flight …
Ultrafast and ultrahigh-resolution diffuse optical tomography for brain imaging with sensitivity equation based noniterative sparse optical reconstruction (sensor)
… -conditioned because, in a typical setting of optical imaging, the system is under-determined
(… To this end, we compute in this work the preconditioner by minimizing the Frobenius norm …
(… To this end, we compute in this work the preconditioner by minimizing the Frobenius norm …
GDOT: Gated Diffuse Optical Tomography
Y Zhao - 2021 - search.proquest.com
… for time of flight diffuse optical to… diffuse optical tomography. If the DE can be applied
appropriately, then it is preferable to the RTE because the problem becomes more computationally …
appropriately, then it is preferable to the RTE because the problem becomes more computationally …
A review of image reconstruction algorithms for diffuse optical tomography
S Okawa, Y Hoshi - Applied Sciences, 2023 - mdpi.com
… longer computational time than that from the mean time-of-flight and variance. DA image
reconstruction from Laplace-transformed DTOF using a modified generalized pulse spectrum …
reconstruction from Laplace-transformed DTOF using a modified generalized pulse spectrum …