Papers
If you use MCX/MMC/MCX-CL in your research, we appreciate
if you can cite our relevant papers in your publications.
MCX
MCX-CL
MMC
- [Yan2020] Shijie Yan, Ruoyang Yao, Xavier Intes, and Qianqian Fang, "Accelerating Monte Carlo modeling of structured-light-based diffuse optical imaging via 'photon sharing'," Opt. Lett. 45, 2842-2845 (2020)
- Summary: Photon sharing for simultaneous simulations of multiple patterns
- Download: https://www.biorxiv.org/content/10.1101/2020.02.16.951590v2
- [Fang2019] Qianqian Fang* and Shijie Yan, “Graphics processing unit-accelerated mesh-based Monte Carlo photon transport simulations,” J. of Biomedical Optics, 24(11), 115002 (2019).
- Summary: GPU-accelerated (OpenCL) MMC algorithm and software - MMCL
- Download: http://dx.doi.org/10.1117/1.JBO.24.11.115002
- [Yan2019] Shijie Yan, Anh Phong Tran, Qianqian Fang*, “A dual-grid mesh-based Monte Carlo algorithm for efficient photon transport simulations in complex 3-D media,” J. of Biomedical Optics, 24(2), 020503 (2019).
- Summary: Dual-grid MMC for faster and more accurate mesh-based simulations
- Download: http://dx.doi.org/10.1117/1.JBO.24.2.020503
General MC algorithm
- [Yao2018] Ruoyang Yao, Xavier Intes, Qianqian Fang*, "A direct approach to compute Jacobians for diffuse optical tomography using perturbation Monte Carlo-based photon 'replay'," Biomed. Optics Express 9(10), 4588-4603, (2018)
- Summary: Building Jacobians with replay in MCX/MMC
- Download: https://www.osapublishing.org/boe/abstract.cfm?uri=boe-9-10-4588