A compact time-resolved system for near infrared spectroscopy based on wavelength space multiplexing.

We designed and developed a compact dual-wavelength and dual-channel time-resolved system for near-infrared spectroscopy studies of muscle and brain. The system employs pulsed diode lasers as sources, compact photomultipliers, and time-correlated single photon counting boards for detection. To exploit the full temporal and dynamic range of the acquisition technique, we implemented an approach based on wavelength space multiplexing: laser pulses at the two wavelengths are alternatively injected into the two channels by means of an optical 2×2 switch. In each detection line (i.e., in each temporal window), the distribution of photon time-of-flights at one wavelength is acquired. The proposed approach increases the signal-to-noise ratio and avoids wavelength cross-talk with respect to the typical approach based on time multiplexing. The instrument was characterized on tissue phantoms to assess its properties in terms of linearity, stability, noise, and reproducibility. Finally, it was successfully tested in preliminary in vivo measurements on muscle during standard cuff occlusion and on the brain during a motor cortex response due to hand movements.

[1]  B. Chance,et al.  Near-infrared spectroscopy/imaging for monitoring muscle oxygenation and oxidative metabolism in healthy and diseased humans. , 2007, Journal of biomedical optics.

[2]  B. Tromberg,et al.  Broad bandwidth frequency domain instrument for quantitative tissue optical spectroscopy , 2000 .

[3]  B. Wilson,et al.  Time resolved reflectance and transmittance for the non-invasive measurement of tissue optical properties. , 1989, Applied optics.

[4]  Davide Contini,et al.  Novel method for depth-resolved brain functional imaging by time-domain NIRS , 2007, European Conference on Biomedical Optics.

[5]  A. Sorensen,et al.  Improved sensitivity to cerebral hemodynamics during brain activation with a time-gated optical system: analytical model and experimental validation. , 2005, Journal of biomedical optics.

[6]  A. Yodh,et al.  Diffuse optics for tissue monitoring and tomography , 2010, Reports on progress in physics. Physical Society.

[7]  Alessandro Torricelli,et al.  Time-resolved reflectance at null source-detector separation: improving contrast and resolution in diffuse optical imaging. , 2005, Physical review letters.

[8]  Martin Wolf,et al.  Progress of near-infrared spectroscopy and topography for brain and muscle clinical applications. , 2007, Journal of biomedical optics.

[9]  F. Jöbsis Noninvasive, infrared monitoring of cerebral and myocardial oxygen sufficiency and circulatory parameters. , 1977, Science.

[10]  D. Boas,et al.  Determination of optical properties and blood oxygenation in tissue using continuous NIR light , 1995, Physics in medicine and biology.

[11]  D Contini,et al.  Photon migration through a turbid slab described by a model based on diffusion approximation. I. Theory. , 1997, Applied optics.

[12]  W. Louisell Quantum Statistical Properties of Radiation , 1973 .

[13]  R Cubeddu,et al.  Experimental test of theoretical models for time-resolved reflectance. , 1996, Medical physics.

[14]  Elizabeth M C Hillman,et al.  Optical brain imaging in vivo: techniques and applications from animal to man. , 2007, Journal of biomedical optics.

[15]  Heidrun Wabnitz,et al.  A time-domain NIR brain imager applied in functional stimulation experiments , 2005, European Conference on Biomedical Optics.

[16]  Yoko Hoshi,et al.  Functional near-infrared spectroscopy: current status and future prospects. , 2007, Journal of biomedical optics.

[17]  Eric L. Miller,et al.  Imaging the body with diffuse optical tomography , 2001, IEEE Signal Process. Mag..

[18]  D. O'connor,et al.  Time-Correlated Single Photon Counting , 1984 .

[19]  F. Martelli,et al.  Penetration depth of light re-emitted by a diffusive medium: theoretical and experimental investigation. , 2002, Physics in medicine and biology.

[20]  Alessandro Torricelli,et al.  Performance assessment of photon migration instruments: the MEDPHOT protocol , 2005 .

[21]  A. Villringer,et al.  Determining changes in NIR absorption using a layered model of the human head , 2001, Physics in medicine and biology.

[22]  Davide Contini,et al.  Monitoring muscle metabolic indexes by time-domain near-infrared spectroscopy during knee flex-extension induced by functional electrical stimulation. , 2009, Journal of biomedical optics.

[23]  A. Blasi,et al.  Illuminating the developing brain: The past, present and future of functional near infrared spectroscopy , 2010, Neuroscience & Biobehavioral Reviews.

[24]  Martin Wolf,et al.  Absolute frequency-domain pulse oximetry of the brain: methodology and measurements. , 2003, Advances in experimental medicine and biology.

[25]  V. Tuchin Handbook of Optical Biomedical Diagnostics , 2002 .

[26]  R. Cubeddu,et al.  Multi-channel time-resolved system for functional near infrared spectroscopy. , 2006, Optics express.

[27]  R. Cubeddu,et al.  Functional brain imaging by multi-wavelength time-resolved near infrared spectroscopy , 2008 .