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Brain structure and spatial sensitivity profile assessing by near‐infrared spectroscopy modeling based on 3D MRI data
Author(s) -
Chuang ChingCheng,
Chen ChungMing,
Hsieh YaoSheng,
Liu TsanChi,
Sun ChiaWei
Publication year - 2013
Publication title -
journal of biophotonics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.877
H-Index - 66
eISSN - 1864-0648
pISSN - 1864-063X
DOI - 10.1002/jbio.201200025
Subject(s) - detector , monte carlo method , functional near infrared spectroscopy , sensitivity (control systems) , near infrared spectroscopy , optics , spectroscopy , white matter , nuclear magnetic resonance , physics , materials science , biological system , chemistry , biomedical engineering , mathematics , magnetic resonance imaging , neuroscience , medicine , prefrontal cortex , statistics , psychology , cognition , biology , radiology , engineering , quantum mechanics , electronic engineering
The goal of this study is to prove that the light propagation in the head by used the 3‐D optical model from in vivo MRI data set can also provide significant characteristics on the spatial sensitivity of cerebral cortex folding geometry based on Monte Carlo simulation. Thus, we proposed a MRI based approach for 3‐D brain modeling of near‐infrared spectroscopy (NIRS). In the results, the spatial sensitivity profile of the cerebral cortex folding geometry and the arrangement of source‐detector separation have being necessarily considered for applications of functional NIRS. The optimal choice of source‐detector separation is suggested within 3–3.5 cm by the received intensity with different source‐detector separations and the ratio of received light from the gray and white matter layer is greater than 50%. Additionally, this study has demonstrated the capability of NIRS in not only assessing the functional but also detecting the structural change of the brain by taking advantage of the low scattering and absorption coefficients observed in CSF of sagittal view. (© 2013 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim)