High-Speed Time-Domain Diffuse Optical Tomography With a Sensitivity Equation-Based Neural Network
Steady progress in time-domain diffuse optical tomography (TD-DOT) technology is allowing
for the first time the design of low-cost, compact, and high-performance systems, thus …
for the first time the design of low-cost, compact, and high-performance systems, thus …
Ultrafast and ultrahigh-resolution diffuse optical tomography for brain imaging with sensitivity equation based noniterative sparse optical reconstruction (sensor)
We introduce a novel image reconstruction method for time-resolved diffuse optical
tomography (DOT) that yields submillimeter resolution in less than a second. This opens the …
tomography (DOT) that yields submillimeter resolution in less than a second. This opens the …
Deep learning based image reconstruction for sparse-view diffuse optical tomography
MH Jalalimanesh, MA Ansari - Waves in Random and Complex …, 2021 - Taylor & Francis
Three critical problems, including high-cost instrumentations, time-consuming image
recovery, and low image quality, limit clinical applications of diffuse optical tomography …
recovery, and low image quality, limit clinical applications of diffuse optical tomography …
A self-supervised learning approach for high-resolution diffuse optical tomography using neural fields
Diffuse optical tomography (DOT) has shown promise in biomedical research, such as
breast cancer diagnostics and brain imaging, by reconstructing hidden objects within …
breast cancer diagnostics and brain imaging, by reconstructing hidden objects within …
High resolution, deep imaging using confocal time-of-flight diffuse optical tomography
Light scattering by tissue severely limits how deep beneath the surface one can image, and
the spatial resolution one can obtain from these images. Diffuse optical tomography (DOT) is …
the spatial resolution one can obtain from these images. Diffuse optical tomography (DOT) is …
A Modular Deep Learning-based Approach for Diffuse Optical Tomography Reconstruction
A Benfenati, P Causin, M Quinteri - arXiv preprint arXiv:2402.09277, 2024 - arxiv.org
Medical imaging is nowadays a pillar in diagnostics and therapeutic follow-up. Current
research tries to integrate established-but ionizing-tomographic techniques with …
research tries to integrate established-but ionizing-tomographic techniques with …
Unrolled-DOT: an interpretable deep network for diffuse optical tomography
Significance Imaging through scattering media is critical in many biomedical imaging
applications, such as breast tumor detection and functional neuroimaging. Time-of-flight …
applications, such as breast tumor detection and functional neuroimaging. Time-of-flight …
Multitask deep learning reconstruction and localization of lesions in limited angle diffuse optical tomography
Diffuse optical tomography (DOT) leverages near-infrared light propagation through tissue to
assess its optical properties and identify abnormalities. DOT image reconstruction is an ill …
assess its optical properties and identify abnormalities. DOT image reconstruction is an ill …
Fast tomographic reconstruction strategy for diffuse optical tomography
Y Zhai, SA Cummer - Optics express, 2009 - opg.optica.org
Diffuse Optical Tomography (DOT) has been growing significantly in the past two decades
as a promising tool for in-vivo and non-invasive imaging of tissues using near-infrared light …
as a promising tool for in-vivo and non-invasive imaging of tissues using near-infrared light …
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
Time-domain (TD) spatial frequency domain (SFD) diffuse optical tomography (DOT)
potentially enables laminar tomography of both the absorption and scattering coefficients. Its …
potentially enables laminar tomography of both the absorption and scattering coefficients. Its …
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