ArticleBiomedical optics express2018
Direct approach to compute Jacobians for diffuse optical tomography using perturbation Monte Carlo-based photon "replay".
Article in Biomedical optics express, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.
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Who cites it
47 citing papers in PubMed, 82 citations in OpenAlex.
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- Weighting scheme for robust depth normalization in reflectance time-domain diffuse optical tomography.Journal of biomedical optics · 2026Article
- CW-fDOT with a standard optical brain model: improving hemodynamic sensitivity and functional localization.Neurophotonics · 2026Article
- Digital instrument simulator platform to support the development of noninvasive optical NIR device for placenta monitoring.Journal of biomedical optics · 2026Article
- Development of a statistically standardized optical digital wrist model through integrated MRI-diffuse optical imaging methodology.Journal of biomedical optics · 2025Article
- Simultaneously Acquired Magnetoencephalography and Diffuse Optical Tomography Data Reveals Correlated Somatosensory Activity.Human brain mapping · 2025Article
- Photon transport through the entire adult human head.Neurophotonics · 2025Article
- Design Key Points of High-Performance Diffuse Reflectance Optical Sensors for Non-Invasive Blood Glucose Measurement.Sensors (Basel, Switzerland) · 2025Article
- Digital instrument simulator to optimize the development of hyperspectral systems: application for intraoperative functional brain mapping.Journal of biomedical optics · 2025Article
- Revisiting equivalent optical properties for cerebrospinal fluid to improve diffusion-based modeling accuracy in the brain.Neurophotonics · 2025Article
- Revisiting the Rytov approximation in diffuse optics and its applications for the inverse and forward problems.Scientific reports · 2024Article
- Revisiting equivalent optical properties for cerebrospinal fluid to improve diffusion-based modeling accuracy in the brain.bioRxiv : the preprint server for biology · 2024Article
- Stochastic Gauss-Newton method for estimating absorption and scattering in optical tomography with the Monte Carlo method for light transport.Biomedical optics express · 2024Article
- Application limits of the scaling relations for Monte Carlo simulations in diffuse optics. Part 2: results.Optics express · 2024Article
- Spatial Sensitivity to Absorption Changes for Various Near-Infrared Spectroscopy Methods: A Compendium Review.Journal of innovative optical health sciences · 2024Article
- Dual-ratio approach to pulse oximetry and the effect of skin tone.Journal of biomedical optics · 2024Article
- Computationally-efficient linear scheme for overlap time-gating spatial frequency domain diffuse optical tomography using an analytical diffusion model.Biomedical optics express · 2024Article
- Enhanced model iteration algorithm with graph neural network for diffuse optical tomography.Biomedical optics express · 2024Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
Perturbation Monte Carlo (pMC) has been previously proposed to rapidly recompute optical measurements when small perturbations of optical properties are considered, but it was largely restricted to changes associated with prior tissue segments or regions-of-interest. In this work, we expand pMC to compute spatially and temporally resolved sensitivity profiles, i.e. the Jacobians, for diffuse optical tomography (DOT) applications. By recording the pseudo random number generator (PRNG) seeds of each detected photon, we are able to "replay" all detected photons to directly create the 3D sensitivity profiles for both absorption and scattering coefficients. We validate the replay-based Jacobians against the traditional adjoint Monte Carlo (aMC) method, and demonstrate the feasibility of using this approach for efficient 3D image reconstructions using
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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.