ArticleOptics letters2020
Accelerating Monte Carlo modeling of structured-light-based diffuse optical imaging via "photon sharing".
Article in Optics letters, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
4 citing papers in PubMed.
- Revisiting the Rytov approximation in diffuse optics and its applications for the inverse and forward problems.Scientific reports · 2024Article
- Challenges and advances in optical 3D mesoscale imaging.Journal of microscopy · 2022Article
- High-resolution three-dimensional blood flow tomography in the subdiffuse regime using laser speckle contrast imaging.Journal of biomedical optics · 2022Article
- Light transport modeling in highly complex tissues using the implicit mesh-based Monte Carlo algorithm.Biomedical optics express · 2021Article
Corrections and comments
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Authors and funding
4 authors.
Funding
Abstract
The increasing use of spatially modulated imaging and single-pixel detection techniques demands computationally efficient methods for light transport modeling. Herein, we report an easy-to-implement yet significantly more efficient Monte Carlo (MC) method for simultaneously simulating spatially modulated illumination and detection patterns accurately in 3D complex domains. We have implemented this accelerated algorithm, named "photon sharing," in our open-source MC simulators, reporting 13.6× and 5.5× speedups in mesh- and voxel-based MC benchmarks, respectively. In addition, the proposed algorithm is readily used to accelerate the solving of inverse problems in spatially modulated imaging systems by building Jacobians of all illumination-detection pattern pairs concurrently, resulting in a 12.4-fold speed improvement.
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Registered trials
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