Optimize Illumination Parameter of Low-Level Laser Therapy for Hemorrhagic Stroke by Monte Carlo Simulation on Visible Human Dataset
Stroke is the second leading cause of death and disability worldwide. The incidence of hemorrhagic stroke increases dramatically with the increasingly aging population. Recently, technology of low-level light/laser therapy (LLLT) is emerging as a novel noninvasive therapeutic approach to treat strok...
Main Authors: | Ting Li, Pengbo Wang, Lina Qiu, Xiang Fang, Yu Shang |
---|---|
Format: | Article |
Language: | English |
Published: |
IEEE
2018-01-01
|
Series: | IEEE Photonics Journal |
Subjects: | |
Online Access: | https://ieeexplore.ieee.org/document/8356640/ |
Similar Items
-
Effect of Scalp Hair Follicles on NIRS Quantification by Monte Carlo Simulation and Visible Chinese Human Dataset
by: Xiang Fang, et al.
Published: (2018-01-01) -
Effect of Human Brain Edema on Light Propagation: A Monte Carlo Modeling Based on the Visible Chinese Human Dataset
by: Lanhui Wu, et al.
Published: (2017-01-01) -
Local estimations of Monte Carlo method with the object spectral representation in the solution of global illumination
by: Vladimir Pavlovich Budak, et al.
Published: (2012-03-01) -
Effects of wavelength, beam type and size on cerebral low-level laser therapy by a Monte Carlo study on visible Chinese human
by: Ting Li, et al.
Published: (2015-01-01) -
Probing depth in diffuse optical spectroscopy and structured illumination imaging: a Monte Carlo study
by: Daria A. Loginova, et al.
Published: (2017-04-01)