Application of Near Infrared Spectroscopy in Biomedicine by Thomas Jue, Kazumi Masuda

By Thomas Jue, Kazumi Masuda

In response to the fashion of the instruction manual of contemporary Biophysics, this fourth quantity, software of Near-Infrared Spectroscopy in Biomedicine, balances the necessity for actual science/mathematics formalism with a requirement for biomedical views. each one bankruptcy divides the presentation into significant elements: the 1st establishes the conceptual framework and describes the instrumentation or approach, whereas the second one illustrates present functions in addressing advanced biology questions. With the extra sections on extra interpreting, difficulties, and references, the reader can discover a few bankruptcy principles extra greatly.

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Takatani S, Graham MD (1979) Theoretical analysis of diffuse reflectance from a two-layer tissue model. IEEE Trans Biomed Eng BME26:656–664 4. Patterson MS, Chance B, Wilson BC (1989) Time-resolved reflectance and transmittance for the noninvasive measurement of tissue optical properties. Appl Opt 28:2331–2336 5. Dayan I, Havlin S, Weiss GH (1992) Photon migration in a two-layer turbid media: a diffusion analysis. J Mod Opt 39:1567–1582 6. Farrell TJ, Patterson MS (1992) A diffusion theory model of spatially resolved, steady-state diffuse reflectance for the noninvasive determination of tissue optical properties in vivo.

11 Influence of CSF layer thickness on spatial sensitivity profile: Spatial sensitivity profiles (1) in the x–z plane in the head model and (2) in the x–y plane in the gray matter at a probe spacing of 30 mm. 5 and (b) 3 mm. The colorscale is normalized by the maximum value in (b). 1% with respect to the maximum value weblike strands, arachnoid trabeculae, in the CSF layer, there are no experimental data on the optical properties of the CSF layer. The range of the scattering coefficient of the CSF layer used to calculate an adequate partial optical pathlength and spatial sensitivity profiles using the diffusion equation need to be evaluated [33, 34].

Rev Sci Instrum 71(12):4571–4575 15. Fang Q, Boas DA (2009) Monte Carlo simulation of photon migration in 3D turbid media accelerated by graphics processing units. Opt Express 17:20178–20190 16. Alerstam E, Svensson T, Andersson-Engels S (2008) Parallel computing with graphics processing units for highspeed Monte Carlo simulation of photon migration. J Biomed Opt 13:060504 17. Arridge SR, Schweiger M, Hiraoka M, Delpy DT (1993) A finite-element approach for modeling photon transport in tissue. Med Phys 20:299–309 18.

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