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Optical Coherence Tomography for Brain Imaging

  • Gangjun Liu
  • Zhongping Chen
Chapter
Part of the Bioanalysis book series (BIOANALYSIS, volume 3)

Abstract

Recently, there has been growing interest in using OCT for brain imaging. A feasibility study of OCT for guiding deep brain probes has found that OCT can differentiate the white matter and gray matter because the white matter tends to have a higher peak reflectivity and steeper attenuation rate compared to gray matter. In vivo 3D visualization of the layered organization of a rat olfactory bulb with OCT has been demonstrated. OCT has been used for single myelin fiber imaging in living rodents without labeling. The refractive index in the rat somatosensory cortex has also been measured with OCT. In addition, functional extension of OCT, such as Doppler-OCT (D-OCT), polarization sensitive-OCT (PS-OCT), and phase-resolved-OCT (PR-OCT), can image and quantify physiological parameters in addition to the morphological structure image. Based on the scattering changes during neural activity, OCT has been used to measure the functional activation in neuronal tissues. PS-OCT, which combines polarization sensitive detection with OCT to determine tissue birefringence, has been used for the localization of nerve fiber bundles and the mapping of micrometer-scale fiber pathways in the brain. D-OCT, also named optical Doppler tomography (ODT), combines the Doppler principle with OCT to obtain high resolution tomographic images of moving constituents in highly scattering biological tissues. D-OCT has been successfully used to image cortical blood flow and map the blood vessel network for brain research. In this chapter, the principle and technology of OCT and D-OCT are reviewed and examples of potential applications are described.

Keywords

Optical Coherence Tomography Optical Coherence Tomography Image Rose Bengal Optical Coherence Tomography System Broadband Light Source 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The authors wish to acknowledge Dr. Christopher Lay, Dr. Melissa Davis, and Prof. Ron Frostig for preparing the rat used in the manuscript. Dr. Chen also acknowledges grant support from the National Institutes of Health (R01EB-10090, R01EY-021529, P41EB-015890, R01HL-103764, and R01HL-105215), Air Force Office of Scientific Research (F49620-00-1-0371, FA9550-04-0101), and the Beckman Laser Institute Endowment.

References

  1. 1.
    Huang D, Swanson EA, Lin CP, Schuman JS, Stinson WG, Chang W, Hee MR, Flotte T, Gregory K, Puliafito CA, Fujimoto JG (1991) Optical coherence tomography. Science 254:1178–1181ADSCrossRefGoogle Scholar
  2. 2.
    Drexler W, Fujimoto JG (2008) Optical coherence tomography: technology and applications. Springer, BerlinCrossRefGoogle Scholar
  3. 3.
    Jeon SW, Shure MA, Baker KB, Huang D, Rollins AM, Chahlavi A, Rezai AR (2006) A feasibility study of optical coherence tomography for guiding deep brain probes. J Neurosci Methods 154:96–101CrossRefGoogle Scholar
  4. 4.
    Watanabe H, Rajagopalan UM, Nakamichi Y, Igarashi KM, Madjarova VD, Kadono H, Tanifuji M (2011) In vivo layer visualization of rat olfactory bulb by a swept source optical coherence tomography and its confirmation through electrocoagulation and anatomy. Biomed Opt Express 2:2279–2287CrossRefGoogle Scholar
  5. 5.
    Arous JB, Binding J, Léger J-F, Casado M, Topilko P, Gigan S, Boccara AC, Bourdieu L (2011) Single myelin fiber imaging in living rodents without labeling by deep optical coherence microscopy. J Biomed Opt 16:116012CrossRefGoogle Scholar
  6. 6.
    Binding J, Arous JB, Léger J-F, Gigan S, Boccara C, Bourdieu L (2011) Brain refractive index measured in vivo with high-NA defocus-corrected full-field OCT and consequences for two-photon microscopy. Opt Express 19:4833ADSCrossRefGoogle Scholar
  7. 7.
    Maheswari RU, Takaoka H, Kadono H, Homma R, Tanifuji M (2003) Novel functional imaging technique from brain surface with optical coherence tomography enabling visualization of depth resolved functional structure in vivo. J Neurosci Methods 124:83–92CrossRefGoogle Scholar
  8. 8.
    Rajagopalan UM, Tanifuji M (2007) Functional optical coherence tomography reveals localized layer-specific activations in cat primary visual cortex in vivo. Opt Lett 32:2614–2616ADSCrossRefGoogle Scholar
  9. 9.
    Aguirre AD, Chen Y, Fujimoto JG, Ruvinskaya L, Devor A, Boas DA (2006) Depth-resolved imaging of functional activation in the rat cerebral cortex using optical coherence tomography. Opt Lett 31:3459–3461ADSCrossRefGoogle Scholar
  10. 10.
    Chen Y, Aguirre AD, Ruvinskaya L, Devor A, Boas DA, Fujimoto JG (2009) Optical coherence tomography (OCT) reveals depth-resolved dynamics during functional brain activation. J Neurosci Methods 178:162–173CrossRefGoogle Scholar
  11. 11.
    Lazebnik M, Marks DL, Potgieter K, Gillette R, Boppart SA (2003) Functional optical coherence tomography for detecting neural activity through scattering changes. Opt Lett 28:1218–1220ADSCrossRefGoogle Scholar
  12. 12.
    Maheswari RU, Takaoka H, Homma R, Kadono H, Tanifuji M (2002) Implementation of optical coherence tomography (OCT) in visualization of functional structures of cat visual cortex. Opt Commun 202:47–54ADSCrossRefGoogle Scholar
  13. 13.
    de Boer JF, Srinivas SM, Park BH, Pham TH, Chen Z, Milner TE, Nelson JS (1999) Polarization effects in optical coherence tomography of various biological tissues. IEEE J Sel Top Quant Electron 5:1200–1204CrossRefGoogle Scholar
  14. 14.
    Nakaji H, Kouyama N, Muragaki Y, Kawakami Y, Iseki H (2008) Localization of nerve fiber bundles by polarization-sensitive optical coherence tomography. J Neurosci Methods 174:82–90CrossRefGoogle Scholar
  15. 15.
    Wang H, Black AJ, Zhu JF, Stigen TW, Al-Qaisi MK, Netoff TI, Abosch A, Akkin T (2011) Reconstructing micrometer-scale fiber pathways in the brain: multi-contrast optical coherence tomography based tractography. Neuroimage 58:984–992CrossRefGoogle Scholar
  16. 16.
    Chen Z, Milner TE, Dave D, Nelson JS (1997) Optical Doppler tomographic imaging of fluid flow velocity in highly scattering media. Opt Lett 22:64–66ADSCrossRefGoogle Scholar
  17. 17.
    Chen Z, Milner TE, Srinivas S, Xiaojun W, Malekafzali A, van Gemert MJC, Nelson JS (1997) Noninvasive imaging of in vivo blood flow velocity using optical Doppler tomography. Opt Lett 22:1119–1121ADSCrossRefGoogle Scholar
  18. 18.
    Izatt JA, Kulkarni MD, Yazdanfar S, Barton JK, Welch AJ (1997) In vivo bidirectional color Doppler flow imaging of picoliter blood volumes using optical coherence tomography. Opt Lett 22:1439–1441ADSCrossRefGoogle Scholar
  19. 19.
    Zhao Y, Chen Z, Saxer C, Shaohua X, de Boer JF, Nelson JS (2000) Phase-resolved optical coherence tomography and optical Doppler tomography for imaging blood flow in human skin with fast scanning speed and high velocity sensitivity. Opt Lett 25:114–116ADSCrossRefGoogle Scholar
  20. 20.
    Chen Z, Zhao Z, Srinivas SM, Nelson JS, Prakash N, Frostig RD (1999) Optical Doppler tomography. IEEE J Sel Top Quant Electron 5:1134–1142CrossRefGoogle Scholar
  21. 21.
    Wang RK, Hurst S (2007) Mapping of cerebro-vascular blood perfusion in mice with skin and skull intact by Optical Micro-AngioGraphy at 1.3 μm wavelength. Opt Express 15:11402–11412ADSCrossRefGoogle Scholar
  22. 22.
    Jia Y, An L, Wang RK (2010) Label-free and highly sensitive optical imaging of detailed microcirculation within meninges and cortex in mice with the cranium left intact. J Biomed Opt 15:030510CrossRefGoogle Scholar
  23. 23.
    Yu L, Nguyen E, Liu G, Choi B, Chen Z (2010) Spectral Doppler optical coherence tomography imaging of localized ischemic stroke in a mouse model. J Biomed Opt 15:066006CrossRefGoogle Scholar
  24. 24.
    Srinivasan VJ, Sakadžić S, Gorczynska I, Ruvinskaya S, WuW FJG, Boas DA (2009) Depth-resolved microscopy of cortical hemodynamics with optical coherence tomography. Opt Lett 34:3086–3088CrossRefGoogle Scholar
  25. 25.
    Srinivasan VJ, Sakadzic S, Gorczynska I, Ruvinskaya S, WuW FJG, Boas DA (2010) Quantitative cerebral blood flow with optical coherence tomography. Opt Express 18:2477–2494CrossRefGoogle Scholar
  26. 26.
    Fercher AF, Kitzenberger CK, Kamp G, El-Zaiat SY (1995) Measurement of intraocular distances by backscattering spectral interferometry. Opt Commun 117:43–48ADSCrossRefGoogle Scholar
  27. 27.
    Wojtkowski M, Leitgeb R, Kowalczyk A, Bajraszewski T, Fercher AF (2002) In vivo human retinal imaging by Fourier domain optical coherence tomography. J Biomed Opt 7:457–463CrossRefGoogle Scholar
  28. 28.
    Chinn SR, Swanson EA, Fujimoto JG (1997) Optical coherence tomography using a frequency-tunable optical source. Opt Lett 22:340–342ADSCrossRefGoogle Scholar
  29. 29.
    Golubovic B, Bouma BE, Tearney GJ, Fujimoto JG (1997) Optical frequency-domain reflectometry using rapid wavelength tuning of a Cr4+:forsterite laser. Opt Lett 22:1704–1706ADSCrossRefGoogle Scholar
  30. 30.
    Leitgeb R, Hitzenberger CK, Fercher AF, Kulhavy M (2003) Performance of fourier domain vs. time domain optical coherence tomography. Opt Express 11:889–894ADSCrossRefGoogle Scholar
  31. 31.
    de Boer JF, Cense B, Park BH, Pierce MC, Tearney GJ, Bouma BE (2003) Improved signal-to-noise ratio in spectral-domain compared with time-domain optical coherence tomography. Opt Lett 28:2067–2069ADSCrossRefGoogle Scholar
  32. 32.
    Choma MA, Sarunic MV, Yang C, Izatt JA (2003) Sensitvity advantage of swept source and Fourier domain optical coherence tomography. Opt Express 11:2183–2189ADSCrossRefGoogle Scholar
  33. 33.
    Zhao Y, Chen Z, Saxer C, Shen Q, Xiang S, de Boer JF, Nelson JS (2000) Doppler standard deviation imaging for clinical monitoring of in vivo human skin blood flow. Opt Lett 25:1358–1360ADSCrossRefGoogle Scholar
  34. 34.
    Zhao Y, Chen Z, Ding Z, Ren H, Nelson JS (2001) Three-dimensional reconstruction of in vivo blood vessels in human skin using phase-resolved optical Doppler tomography. IEEE J Sel Top Quant Electron 7:931–935CrossRefGoogle Scholar
  35. 35.
    Leitgeb RA, Schmetterer L, DrexlerW FAF, Zawadzki RJ, Bajraszewski T (2003) Real-time assessment of retinal blood flow with ultrafast acquisition by color Doppler Fourier domain optical coherence tomography. Opt Express 11:3116–3121ADSCrossRefGoogle Scholar
  36. 36.
    Wang L, Wang Y, Bachaman M, Li GP, Chen Z (2004) Frequency domain Phase-resolved optical Doppler and Doppler variance tomography. Opt Commun 242:345–347ADSCrossRefGoogle Scholar
  37. 37.
    Zhang J, Chen Z (2005) In vivo blood flow imaging by a swept laser source based Fourier domain optical Doppler tomography. Opt Express 13:7449–7457ADSCrossRefGoogle Scholar
  38. 38.
    Yang VX, Gordon ML, Mok A, Zhao Y, Chen Z, Cobbold RSC, Wilson BC, Vitkin IA (2002) Improved phase-resolved optical Doppler tomography using the Kasai velocity estimator and histogram segmentation. Opt Commun 208:209–214ADSCrossRefGoogle Scholar
  39. 39.
    Ichimiya A (1998) Functional and structural brain imagings in dementia. Psychiatry Clin Neurosci 52:S223–S225Google Scholar
  40. 40.
    Laule C, Vavasour IM, Kolind SH, Li DK, Traboulsee TL, Moore GR, MacKay AL (2007) Magnetic resonance imaging of myelin. Neurotherapeutics 4:460–484CrossRefGoogle Scholar
  41. 41.
    Stankoff B, Wang Y, Bottlaender M, Aigrot MS, Dolle F, Wu C, Feinstein D, Huang GF, Semah F, Mathis CA, KlunkW GRM, Lubetzki C, Zalc B (2006) Imaging of CNSmyelin by positron-emissiontomography. Proc Natl Acad Sci USA 103:9304–9309ADSCrossRefGoogle Scholar
  42. 42.
    Mathews MS, Su J, Heidari E, Levy EI, Linskey ME, Chen Z (2011) Neuroendovascular optical coherence tomography imaging and histological analysis. Neurosurgery 69:430–439CrossRefGoogle Scholar
  43. 43.
    Su J, Mathews MS, Nwagwu CI, Edris A, Nguyen NV, Nguyen BV, Heidari M, Linskey ME, Chen Z (2008) Imaging treated brain aneurysms in vivo using optical coherence tomography. Proc SPIE 6847:684732CrossRefGoogle Scholar
  44. 44.
    Grinvald A, Lieke E, Frostig RD, Gilbert CD, Wiesel TN (1986) Functional architecture of cortex revealed by optical imaging of intrinsic signals. Nature 324:361–364ADSCrossRefGoogle Scholar
  45. 45.
    Frostig RD, Lieke EE, Ts’o DY, Grinvald A (1990) Cortical functional architechture and local coupling between neuronal activityand the microcirculation revealed by in vivo high-resolution optical imaging of intrinsic signals. Proc Natl Acad Sci USA 87:6082–6086ADSCrossRefGoogle Scholar
  46. 46.
    Frostig RD, Masino SA, Kwon MC, Chen CH (1995) Using light to probe the brain: intrinsic signal optical imaging. Int J Imaging Syst Technol 6:216–224CrossRefGoogle Scholar
  47. 47.
    Kleinfeld D, P. P. M., Helmchen F, Denk W (1998) Fluctuations and stimulus-induced changes in blood flow observed in individual capillaries in layers 2 through 4 of rat neocortex. Proc Natl Acad Sci USA 95:15741–15746Google Scholar
  48. 48.
    Vakoc BJ, Lanning RM, Tyrrell JA, Padera TP, Bartlett LA, Stylianopoulos T, Munn LL, Tearney GJ, Fukumura D, Jain RK, Bouma BE (2009) Three-dimensional microscopy of the tumor microenvironment in vivo using optical frequency domain imaging. Nat Med 15:1219–1223CrossRefGoogle Scholar
  49. 49.
    Jia Y, Grafe MR, Gruber A, Alkayed NJ, Wang RK (2010) In vivo optical imaging of revascularization after brain trauma in mice. Microvasc Res 81:73–80CrossRefGoogle Scholar
  50. 50.
    Rao B, Yu L, Jiang HK, Zacharias LC, Kurtz RM, Kuppermann BD, Chen Z (2008) Imaging pulsatile retinal blood flow in human eye. J Biomed Opt 5:040505CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media New York 2013

Authors and Affiliations

  1. 1.Department of Biomedical EngineeringBeckman Laser Institute, University of CaliforniaIrvineUSA

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