Quantification of light reflectance spectroscopy and its application: Determination of hemodynamics on the rat spinal cord and brain induced by electrical stimulation

NeuroImage

Volumn 56, Issue 3, 2011, Pages 1316-1328

  Sharma, Vikrant ^a   He, Ji Wei ^b   Narvenkar, Sweta ^a   Peng, Yuan Bo ^b   Liu, Hanli ^a  

^a The University of Texas at Arlington   (United States)

^b UNIVERSITY OF TEXAS AT ARLINGTON   (United States)

Author keywords

Hemodynamics; Light reflectance spectroscopy; Optical properties; Quantification

Indexed keywords

DEOXYHEMOGLOBIN; OXYHEMOGLOBIN;

ACCURACY; ANIMAL EXPERIMENT; ARTICLE; BRAIN HEMODYNAMICS; CONTROLLED STUDY; ELECTROSTIMULATION; HEMODYNAMICS; HEMOGLOBIN DETERMINATION; IN VIVO STUDY; LIGHT REFLECTANCE SPECTROSCOPY; LIGHT SCATTERING; MALE; NONHUMAN; PHANTOM; PRIORITY JOURNAL; PROCESS DEVELOPMENT; QUANTITATIVE ANALYSIS; RAT; SOMATOSENSORY CORTEX; SPECTROSCOPY; SPINAL CORD HEMODYNAMICS; VALIDATION PROCESS;

ALGORITHMS; ANIMALS; BRAIN; CALIBRATION; CEREBROVASCULAR CIRCULATION; ELECTRIC STIMULATION; FOOT; HEMODYNAMICS; HEMOGLOBINS; LEAST-SQUARES ANALYSIS; LIGHT; LINEAR MODELS; MALE; MODELS, NEUROLOGICAL; PHANTOMS, IMAGING; RATS; RATS, SPRAGUE-DAWLEY; REPRODUCIBILITY OF RESULTS; SCATTERING, RADIATION; SPECTRUM ANALYSIS; SPINAL CORD;

EID: 79955479500     PISSN: 10538119     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neuroimage.2011.01.020     Document Type: Article

References (41)

1. Angeline P.J., Langdon W.B., O'Reilly U.-M., Spector L.C. Complex adaptive systems. Advances in Genetic Programming 1999, vol. 3:488. MIT Press, Cambridge, Mass.
2. Ashlock D., SpringerLink (Online service) Evolutionary Computation for Modeling and Optimization 2006, Springer, New York.
3. Backman V., Wallace M.B., Perelman L.T., Arendt J.T., Gurjar R., Muller M.G., Zhang Q., Zonios G., Kline E., McGilligan J.A., Shapshay S., Valdez T., Badizadegan K., Crawford J.M., Fitzmaurice M., Kabani S., Levin H.S., Seiler M., Dasari R.R., Itzkan I., Van Dam J., Feld M.S. Detection of preinvasive cancer cells. Nature 2000, 406:35-36.
4. Bigio I.J., Bown S.G., Briggs G., Kelley C., Lakhani S., Pickard D., Ripley P.M., Rose I.G., Saunders C. Diagnosis of breast cancer using elastic-scattering spectroscopy: preliminary clinical results. J. Biomed. Opt. 2000, 5:221-228.
5. Boas D.A., Dale A.M., Franceschini M.A. Diffuse optical imaging of brain activation: approaches to optimizing image sensitivity, resolution, and accuracy. Neuroimage 2004, 23(Suppl. 1):S275-S288.
6. Brown J.E., Watcha D.S., Darnauer J., Sarin R., Glover G., Mackey S. A hemodynamic response function for functional MRI of the cervical spine using motor and nociceptive paradigms. Proc. Int. Soc. Mag. Res. Med. 2007, 15.
7. Delpy D.T., Cope M., van der Zee P., Arridge S., Wray S., Wyatt J. Estimation of optical pathlength through tissue from direct time of flight measurement. Phys. Med. Biol. 1988, 33:1433-1442.
8. Dorigo M., Maniezzo V., Colorni A. Ant system: optimization by a colony of cooperating agents. IEEE Trans. Syst. Man Cybern. B Cybern. 1996, 26:29-41.
9. Dugdale D.C. Hemoglobin 2010, Medline Plus.
10. Eames M.E., Wang J., Pogue B.W., Dehghani H. Wavelength band optimization in spectral near-infrared optical tomography improves accuracy while reducing data acquisition and computational burden. J. Biomed. Opt. 2008, 13:054037.
11. Eiben A.E., Smith J.E. Introduction to evolutionary computing 2003, Springer, New York.
12. Franceschini M.A., Gratton E., Fantini S. Noninvasive optical method of measuring tissue and arterial saturation: an application to absolute pulse oximetry of the brain. Opt. Lett. 1999, 24:829-831.
13. Giller C.A., Johns M., Liu H. Use of an intracranial near-infrared probe for localization during stereotactic surgery for movement disorders. J. Neurosurg. 2000, 93:498-505.
14. Giller C.A., Liu H., German D.C., Kashyap D., Dewey R.B. A stereotactic near-infrared probe for localization during functional neurosurgical procedures: further experience. J. Neurosurg. 2009, 110:263-273.
15. Graaff R., Aarnoudse J.G., Zijp J.R., Sloot P.M.A., de Mul F.F.M., Greve J., Koelink M.H. Reduced light scattering properties for mixtures of spherical particles: a simple approximation derived from Mie calculations. Appl. Opt. 1992, 31:1370-1376.
16. Hueber D.M., Franceschini M.A., Ma H.Y., Zhang Q., Ballesteros J.R., Fantini S., Wallace D., Ntziachristos V., Chance B. Non-invasive and quantitative near-infrared haemoglobin spectrometry in the piglet brain during hypoxic stress, using a frequency-domain multidistance instrument. Phys. Med. Biol. 2001, 46:41-62.
17. Huppert T.J., Hoge R.D., Dale A.M., Franceschini M.A., Boas D.A. Quantitative spatial comparison of diffuse optical imaging with blood oxygen level-dependent and arterial spin labeling-based functional magnetic resonance imaging. J. Biomed. Opt. 2006, 11:064018.
18. Huppert T.J., Hoge R.D., Diamond S.G., Franceschini M.A., Boas D.A. A temporal comparison of BOLD, ASL, and NIRS hemodynamic responses to motor stimuli in adult humans. Neuroimage 2006, 29:368-382.
19. Huppert T.J., Diamond S.G., Franceschini M.A., Boas D.A. HomER: a review of time-series analysis methods for near-infrared spectroscopy of the brain. Appl. Opt. 2009, 48:D280-D298.
20. Johns M., Liu H. Limited possibility for quantifying mean particle size by logarithmic light-scattering spectroscopy. Appl. Opt. 2003, 42:2968-2971.
21. Development of a Broadband Multi-Channel NIRS System for Quantifying Absolute Concentrations of Hemoglobin Derivatives and reduced scattering Coefficients. Thesis dissertation.
22. Kim J.G., Liu H. Variation of haemoglobin extinction coefficients can cause errors in the determination of haemoglobin concentration measured by near-infrared spectroscopy. Phys. Med. Biol. 2007, 52:6295-6322.
23. Kohl M., Nolte C., Heekeren H.R., Horst S., Scholz U., Obrig H., Villringer A. Determination of the wavelength dependence of the differential pathlength factor from near-infrared pulse signals. Phys. Med. Biol. 1998, 43:1771-1782.
24. Liu H., Radhakrishnan H., Senapati A.K., Hagains C.E., Peswani D., Mathker A., Peng Y.B. Near infrared and visible spectroscopic measurements to detect changes in light scattering and hemoglobin oxygen saturation from rat spinal cord during peripheral stimulation. Neuroimage 2008, 40:217-227.
25. Lu Y., Bagshaw A.P., Grova C., Kobayashi E., Dubeau F., Gotman J. Using voxel-specific hemodynamic response function in EEG-fMRI data analysis. Neuroimage 2006, 32:238-247.
26. Malonek D., Grinvald A. Interactions between electrical activity and cortical microcirculation revealed by imaging spectroscopy: implications for functional brain mapping. Science 1996, 272:551-554.
27. Matcher S.J., Cope M., Delpy D.T. Use of the water absorption spectrum to quantify tissue chromophore concentration changes in near-infrared spectroscopy. Phys. Med. Biol. 1994, 39:177-196.
28. Mitsuharu M., Yukio U., Britton C. Development of time-resolved spectroscopy system for quantitative noninvasive tissue measurement 1995, 142-149. SPIE. C. Britton, R.A. Robert (Eds.).
29. OxiplexTS, Online Brochure: http://www.iss.com/products/oxiplex/oxiplexTS.pdf.
30. Paxinos G., Watson C. The rat brain in stereotaxic coordinates 1998, Academic Press, San Diego. 4th ed.
31. Qian Z., Victor S., Gu Y., Giller C., Liu H. Look-ahead distance of a fiber probe used to assist neurosurgery: Phantom and Monte Carlo study. Opt. Express 2003, 11:1844-1855.
32. Radhakrishnan H., Senapati A., Kashyap D., Peng Y.B., Liu H. Light scattering from rat nervous system measured intraoperatively by near-infrared reflectance spectroscopy. J. Biomed. Opt. 2005, 10:051405.
33. Senapati A.K., Huntington P.J., LaGraize S.C., Wilson H.D., Fuchs P.N., Peng Y.B. Electrical stimulation of the primary somatosensory cortex inhibits spinal dorsal horn neuron activity. Brain Res. 2005, 1057:134-140.
34. Sharma V., Kashyap D., Mathker A., Narvenkar S., Bensalah K., Kabbani W., Tuncel A., Cadeddu J.A., Liu H. Optical reflectance spectroscopy for detection of human prostate cancer. Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE 2009, 118-121.
35. Utzinger U., Brewer M., Silva E., Gershenson D., Blast R.C., Follen M., Richards-Kortum R. Reflectance spectroscopy for in vivo characterization of ovarian tissue. Lasers Surg. Med. 2001, 28:56-66.
36. van Staveren H.J., Moes C.J.M., van Marie J., Prahl S.A., van Gemert M.J.C. Light scattering in Intralipid-10% in the wavelength range of 400-1100nm. Appl. Opt. 1991, 30:4507-4514.
37. Visible and Near-infrared Absorption Spectra of Human and Animal Hemoglobin: Determination and Application 2000, VSP, Zeist, Netherlands. W. Zijlstra, A. Buursma, O. Assendelft (Eds.).
38. Zonios G., Dimou A. Modeling diffuse reflectance from semi-infinite turbid media: application to the study of skin optical properties. Opt. Express 2006, 14:8661-8674.
39. Zonios G., Dimou A. Melanin optical properties provide evidence for chemical and structural disorder in vivo. Opt. Express 2008, 16:8263-8268.
40. Zonios G., Dimou A. Light scattering spectroscopy of human skin in vivo. Opt. Express 2009, 17:1256-1267.
41. Zonios G., Dimou A. Optical properties of human melanocytic nevi in vivo. Photochem. Photobiol. 2009, 85:298-303.