Evidence map›Paper›PMID 30788914›Full record

ArticleJournal of biomedical optics2019

Dual-grid mesh-based Monte Carlo algorithm for efficient photon transport simulations in complex three-dimensional media.

Shijie Yan, Anh Phong Tran, Qianqian Fang

Abstract readLetter
In one paragraph

Article in Journal of biomedical optics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed.

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  12. A wireless, skin-interfaced biosensor for cerebral hemodynamic monitoring in pediatric care.Proceedings of the National Academy of Sciences of the United States of America · 2020
    Observational
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Shijie YanNortheastern Univ., United States.
Anh Phong TranNortheastern Univ., United States.
Qianqian FangNortheastern Univ., United States.

Funding

Next-generation Monte Carlo eXtreme Light Transport Simulation PlatformR01GM114365 · NIGMS · NORTHEASTERN UNIVERSITY · PI FANG, QIANQIAN · 2015 to 2023
$2.9M
Ultra-high-density, compressive and media- adaptive optical breast tomography platformR01CA204443 · NCI · NORTHEASTERN UNIVERSITY · PI FANG, QIANQIAN · 2016 to 2025
$2.5M
Next-generation optical brain functional imaging platformR01EB026998 · NIBIB · NORTHEASTERN UNIVERSITY · PI FANG, QIANQIAN · 2018 to 2019
$870k
NCI NIH HHS R01 CA204443NIBIB NIH HHS R01 EB026998NIGMS NIH HHS R01 GM114365
6 · The paper itself

Abstract

The mesh-based Monte Carlo (MMC) method is an efficient algorithm to model light propagation inside tissues with complex boundaries, but choosing appropriate mesh density can be challenging. A fine mesh improves the spatial resolution of the output but requires more computation. We propose an improved MMC-dual-grid mesh-based Monte Carlo (DMMC)-to accelerate photon simulations using a coarsely tessellated tetrahedral mesh for ray-tracing computation and an independent voxelated grid for output data storage. The decoupling between ray-tracing and data storage grids allows us to simultaneously achieve faster simulations and improved output spatial accuracy. Furthermore, we developed an optimized ray-tracing technique to eliminate unnecessary ray-tetrahedron intersection tests in optically thick mesh elements. We validate the proposed algorithms using a complex heterogeneous domain and compare the solutions with those from MMC and voxel-based Monte Carlo. We found that DMMC with an unrefined constrained Delaunay tessellation of the boundary nodes yielded the highest speedup, ranging from 1.3  ×   to 2.9  ×   for various scattering settings, with nearly no loss in accuracy. In addition, the optimized ray-tracing technique offers excellent acceleration in high-scattering media, reducing the ray-tetrahedron test count by over 100-fold. Our DMMC software can be downloaded at http://mcx.space/mmc.

Indexed as

Monte Carlo MethodPhantoms, ImagingPhotonsAlgorithmsAnisotropyComputer SimulationImage Processing, Computer-AssistedImaging, Three-DimensionalModels, TheoreticalScattering, RadiationSoftwareStochastic Processesmesh-based Monte Carlomesh generationoptical imagingphoton transport

Identifiers

PMID30788914
PMCPMC6398279

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.