2022
DOI: 10.1117/1.jbo.27.8.083001
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Special Section Guest Editorial: Introduction to the Special Section Celebrating 30 years of Open Source Monte Carlo Codes in Biomedical Optics

Abstract: . The editorial introduces the JBO Special Section Celebrating 30 Years of Open Source Monte Carlo Codes in Biomedical Optics for Volume 27, Issue 8.

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Cited by 3 publications
(8 citation statements)
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“…While being computationally expensive, Monte Carlo remains the gold standard for simulating light transport in tissues. A special section was recently published dedicated to Monte Carlo multilayered (mcml.c) in commemoration of its release 30 years ago, outlining the history of the numerical method as well as its impact on biomedical optics 25 …”
Section: Study Design and Methodsmentioning
confidence: 99%
See 1 more Smart Citation
“…While being computationally expensive, Monte Carlo remains the gold standard for simulating light transport in tissues. A special section was recently published dedicated to Monte Carlo multilayered (mcml.c) in commemoration of its release 30 years ago, outlining the history of the numerical method as well as its impact on biomedical optics 25 …”
Section: Study Design and Methodsmentioning
confidence: 99%
“…A special section was recently published dedicated to Monte Carlo multilayered (mcml.c) in commemoration of its release 30 years ago, outlining the history of the numerical method as well as its impact on biomedical optics. 25 Monte Carlo code packages, MCML and CONV 26 , were used to investigate photon deposition and fluence within the cross-section of the photo-ECMO at equilibrium. First, we modeled the propagation of light in a semi-infinite pool of blood.…”
Section: Light Propagationmentioning
confidence: 99%
“…In the past several decades, Monte Carlo (MC) light simulations have emerged as the gold standard technique for simulating photon transport through tissue 1 , 2 . Advances in these algorithms have allowed for modeling increasingly complex transport geometries or tissue types 3 9 while drastically reducing the runtime through parallel or cloud computing architectures 10 …”
Section: Introductionmentioning
confidence: 99%
“… 14 Such developments have spawned new studies that use MC simulations to, among many other efforts, investigate potential tissue areas to image, 15 18 determine the promise of new imaging modalities, 19 22 optimize hardware in existing modalities, 23 28 improve recovery of desired biomarkers, 29 , 30 and further elucidate the physical principles behind light-tissue interaction 31 35 This list is far from exhaustive—the number of distinctive studies exploiting MC simulations has truly burgeoned across subfields in the past couple of decades 2 . For details on methodology, the interested reader can peruse Zhu and Liu’s review paper 36 on MC simulations in biological tissue, although much work has been developed since then as well.…”
Section: Introductionmentioning
confidence: 99%
“… 1 , 8 , 9 Monte Carlo (MC) based approaches are widely recognized as efficient tools for analyzing light scattering by biological tissues and turbid medium. 10 14 In biophotonics, MC methods, such as MCML, 15 created by L. Wang and S. Jacques, were originally designed to simulate scalar light transport within turbid scattering medium 16 , 17 and were fundamentally relying on the radiative transfer equation (RTE). 18 20 As significant role of polarized light in extending diagnostic capabilities of biomedical tools became apparent, 21 , 22 MC methods evolved accordingly resulting in many practical and popular tools particularly developed by Ramella-Roman, Prahl, and Jacques, 23 , 24 Hielscher, 25 , 26 Wang, 27 and Xu.…”
Section: Introductionmentioning
confidence: 99%