Neu(t)ralMC: energy-efficient open source Monte Carlo algorithm for assessing photon transport in turbid media

Area of Science:

• Physics
• Computational Science
• Biomedical Engineering

Background:

• Light propagation in turbid media involves complex multiple scattering.
• Accurate simulation is crucial for fields like atmospheric science and biomedical imaging.
• Traditional Monte Carlo methods are computationally intensive and energy-consuming.

Purpose of the Study:

• Introduce a novel, open-source Monte Carlo algorithm for efficient light transport simulation.
• Optimize simulations for energy-efficient processors, specifically Apple's M-family chips.
• Address the computational cost and energy consumption challenges of existing methods.

Main Methods:

• Developed a new Monte Carlo algorithm tailored for low-power, high-performance processors.
• Implemented the algorithm in an open-source software package.
• Validated accuracy and performance against established solvers used in biomedical imaging.

Main Results:

• The new algorithm achieves accuracy comparable to existing techniques.
• Demonstrated significant reductions in computational time.
• Showcased substantial energy consumption savings.

Conclusions:

• The novel Monte Carlo algorithm offers an efficient and accurate solution for light transport simulations in turbid media.
• The open-source implementation facilitates broad adoption in scientific and medical applications.
• Exploiting specialized hardware like Apple M-chips can lead to substantial performance and energy gains.