Evidence map›Paper›PMID 26819826›Full record

ArticleBiomedical optics express2016

Generalized mesh-based Monte Carlo for wide-field illumination and detection via mesh retessellation.

Ruoyang Yao, Xavier Intes, Qianqian Fang

Open access · goldAbstract read
In one paragraph

Article in Biomedical optics express, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
5.1field-weighted citation impact, top 4% of its field
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

24 citing papers in PubMed, 57 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Deep learning in macroscopic diffuse optical imaging.Journal of biomedical optics · 2022
    Review
  7. Article
  8. Deep Learning in Biomedical Optics.Lasers in surgery and medicine · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Article
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 at 2 institutions in 1 country.

Ruoyang YaoDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA.
Xavier IntesDepartment of Biomedical Engineering, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180, USA.
Qianqian FangDepartment of Bioengineering, Northeastern University, 360 Huntington Ave, Boston, MA 02115, USA.
Rensselaer Polytechnic Institute · USNortheastern University · US

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
Time-Resolved Wide-Field Molecular Optical TomographyR01EB019443 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI INTES, XAVIER · 2015 to 2018
$1.7M
Multispectral Fluorescence Molecular Tomography with Structured LightR21EB013421 · NIBIB · RENSSELAER POLYTECHNIC INSTITUTE · PI INTES, XAVIER · 2012 to 2013
$369k
NCI NIH HHS R01 CA204443NIBIB NIH HHS R01 EB019443NIBIB NIH HHS R21 EB013421NIGMS NIH HHS R01 GM114365
6 · The paper itself

Abstract

Monte Carlo methods are commonly used as the gold standard in modeling photon transport through turbid media. With the rapid development of structured light applications, an accurate and efficient method capable of simulating arbitrary illumination patterns and complex detection schemes over large surface area is in great need. Here we report a generalized mesh-based Monte Carlo algorithm to support a variety of wide-field illumination methods, including spatial-frequency-domain imaging (SFDI) patterns and arbitrary 2-D patterns. The extended algorithm can also model wide-field detectors such as a free-space CCD camera. The significantly enhanced flexibility of source and detector modeling is achieved via a fast mesh retessellation process that combines the target domain and the source/detector space in a single tetrahedral mesh. Both simulations of complex domains and comparisons with phantom measurements are included to demonstrate the flexibility, efficiency and accuracy of the extended algorithm. Our updated open-source software is provided at http://mcx.space/mmc.

Indexed as

(070.6120) Spatial light modulators(170.3660) Light propagation in tissues(170.5280) Photon migration(170.6920) Time-resolved imaging(170.7050) Turbid media

Identifiers

PMID26819826
PMCPMC4722901
OpenAlexW2213469363

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.