Journal article
Enhancement of optical penetration depth of LED-based NIRS systems by comparing different beam profiles
Biomedical physics & engineering express, v 5(6), p65004
23 Sep 2019
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Near-Infrared Spectroscopy (NIRS) is a non-invasive brain imaging technique involving the quantification of oxy and deoxy-hemoglobin concentrations resolved from the measurement of Near-Infrared (NIR) light attenuation within the tissue. Previous studies have shown that NIR light is more influenced by the optical properties of the superficial layers than those of the deeper target layers such as cortex. NIR light produced by the Laser source penetrates deeper regions of the tissue rather than the LED source although Laser needs more expensive instrumentation. In this study, we investigate the effect of Uniform and Gaussian beam profiles on the enhancement of LED light penetration depth. The latter beam profiles were generated and compared using Flat and Aspherical lenses applied to the LED sources. In order to increase the signal to noise ratio, the lenses were also applied to the light detector. For performance analysis, two experiments were carried out by scanning the intra space of a liquid phantom by static and dynamic (pulsating) absorbers. Monte Carlo simulations were also carried out to be compared with the experiment. The results showed that Gaussian beam profile and in particular, Bi-Convex lenses applied to both source and detector leads to a greater light penetration depth in the liquid phantom close to that of a Laser source.
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Details
- Title
- Enhancement of optical penetration depth of LED-based NIRS systems by comparing different beam profiles
- Creators
- Mahya Mirbagheri - University of TehranNaser Hakimi - University of TehranElias Ebrahimzadeh - University of TehranKambiz Pourrezaei - Drexel UniversityS Kamaledin Setarehdan - University of Tehran
- Publication Details
- Biomedical physics & engineering express, v 5(6), p65004
- Publisher
- IOP Publishing
- Number of pages
- 14
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- School of Biomedical Engineering, Science, and Health Systems
- Web of Science ID
- WOS:000487561400004
- Scopus ID
- 2-s2.0-85074708767
- Other Identifier
- 991019168404204721
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- Collaboration types
- Domestic collaboration
- International collaboration
- Web of Science research areas
- Radiology, Nuclear Medicine & Medical Imaging