Parallel computing with graphics processing units for high-speed Monte Carlo simulation of photon migration.
By E. Alerstam, T. Svensson, S. Andersson-Engels. Journal of Biomedical Optics, 2008
420 citations recorded by the source corpus.
Subfields: Acoustics and Ultrasonics, Biomedical Engineering, Radiology, Nuclear Medicine and Imaging
View Paper: https://www.semanticscholar.org/paper/40cc0c1ad62f2b11a525acb3d539fe55f352c100
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Acoustics and Ultrasonics
In Biomedical Engineering
- Quan Liu
- Caigang Zhu
- Simon Robert Arridge
- Qianqian Fang
- John C. Schotland
- Lorenzo Spinelli
- Alessandro Torricelli
- Davide Contini
In Radiology, Nuclear Medicine and Imaging
- Quan Liu
- Caigang Zhu
- Simon Robert Arridge
- Lorenzo Spinelli
- Alessandro Torricelli
- Davide Contini
- Matteo Caffini
- Lucia Zucchelli
Citations in the corpus
- Optical tomography: forward and inverse problems (2009, positive): “Use of the MC model within image reconstruction is usually limited to the construction of a linear perturbation model for reconstructing the difference in optical properties from changes in the data [78,80] with [81] describing the use of MC to recover optical absoprtion changes in a layered model B”
- GPU computing in medical physics: a review. (2011, background): “46 Optical MC codes only need to track one type of particle, namely photons.”
- Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units (2009, methodology): “In this paper, we go beyond the recent progress in simulations of homogeneous and multi-layered media [21–23] and report a GPU-accelerated MC simulation for 3D complex media incorporated with efficient parallel random-number generators (RNG) and boundary reflection scheme.”
- Time domain functional NIRS imaging for human brain mapping (2014, positive): “E DInverse model The accuracy of non-linear fitting procedures based on the classical Levenberg–Marquardt approach in conjunction with TD NIRS analytical models has been validated several times (Alerstam et al., 2008a; Cubeddu et al., 1996; Spinelli et al., 2009a).”
- Review of Monte Carlo modeling of light transport in tissues (2013, methodology): “Erik et al.97 proposed a method that was executed on a low-cost GPU to speed up the MC simulation of time-resolved photon propagation in a semi-infinite medium.”