ArticleJournal of biomedical optics2017
Toward real-time diffuse optical tomography: accelerating light propagation modeling employing parallel computing on GPU and CPU.
Article in Journal of biomedical optics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
21 citing papers in PubMed, 37 citations in OpenAlex.
- Change in brain asymmetry reflects level of acute alcohol intoxication and impacts on inhibitory control.Scientific reports · 2023Trial
- Weighting scheme for robust depth normalization in reflectance time-domain diffuse optical tomography.Journal of biomedical optics · 2026Article
- Development of a neural network predicting signals for time-domain diffuse optical tomography.Biomedical engineering letters · 2026Article
- NIRFASTerFF: an accessible, cross-platform Python package for fast photon modeling.Journal of biomedical optics · 2025Article
- Continuous Wave-Diffuse Optical Tomography (CW-DOT) in Human Brain Mapping: A Review.Sensors (Basel, Switzerland) · 2025Review
- A compact time-domain diffuse optical tomography system for cortical neuroimaging.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Reliability of brain metrics derived from a Time-Domain Functional Near-Infrared Spectroscopy System.Scientific reports · 2024Article
- Time-domain diffuse correlation spectroscopy at large source detector separation for cerebral blood flow recovery.Biomedical optics express · 2024Article
- Optimization of diffuse Raman spectroscopy for in-vivo quantification of foreign body response in a small animal model.Biomedical optics express · 2023Article
- Anatomical Modeling and Optimization of Speckle Contrast Optical Tomography.bioRxiv : the preprint server for biology · 2023Article
- Measuring acute effects of subanesthetic ketamine on cerebrovascular hemodynamics in humans using TD-fNIRS.Scientific reports · 2023Article
- Resolution and penetration depth of reflection-mode time-domain near infrared optical tomography using a ToF SPAD camera.Biomedical optics express · 2022Article
- Continuous-wave parallel interferometric near-infrared spectroscopy (CWBiomedical optics express · 2022Article
- Investigation of effect of modulation frequency on high-density diffuse optical tomography image quality.Neurophotonics · 2021Article
- The LUCA device: a multi-modal platform combining diffuse optics and ultrasound imaging for thyroid cancer screening.Biomedical optics express · 2021Article
- The Validation of a Portable Functional NIRS System for Assessing Mental Workload.Sensors (Basel, Switzerland) · 2021Article
- Processing pipeline for image reconstructed fNIRS analysis using both MRI templates and individual anatomy.Neurophotonics · 2021Article
- Dynamic time domain near-infrared optical tomography based on a SPAD camera.Biomedical optics express · 2020Article
- High-density functional diffuse optical tomography based on frequency-domain measurements improves image quality and spatial resolution.Neurophotonics · 2019Article
- High-density diffuse optical tomography for imaging human brain function.The Review of scientific instruments · 2019Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
Parameter recovery in diffuse optical tomography is a computationally expensive algorithm, especially when used for large and complex volumes, as in the case of human brain functional imaging. The modeling of light propagation, also known as the forward problem, is the computational bottleneck of the recovery algorithm, whereby the lack of a real-time solution is impeding practical and clinical applications. The objective of this work is the acceleration of the forward model, within a diffusion approximation-based finite-element modeling framework, employing parallelization to expedite the calculation of light propagation in realistic adult head models. The proposed methodology is applicable for modeling both continuous wave and frequency-domain systems with the results demonstrating a 10-fold speed increase when GPU architectures are available, while maintaining high accuracy. It is shown that, for a very high-resolution finite-element model of the adult human head with ∼600,000 nodes, consisting of heterogeneous layers, light propagation can be calculated at ∼0.25 s/excitation source.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.