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Review of laser speckle-based analysis in medical imaging

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Abstract

Speckle pattern forms when a rough object is illuminated with coherent light (laser) and the backscattered radiation is imaged on a screen. The pattern changes over time due to movement in the object. Such time-integrate speckle pattern can be statistically analyzed to reveal the flow profile. For higher velocity the speckle contrast gets reduced. This theory can be utilized for tissue perfusion in capillaries of human skin tissue and cerebral blood flow mapping in rodents. Early, the technique was suffered from low resolution and computational intricacies for real-time monitoring purpose. However, modern engineering has made it feasible for real-time monitoring in microcirculation imaging with improved resolution. This review illustrates several modifications over classical technique done by many researchers. Recent advances in speckle contrast methods gain major interest, leading towards practical implementation of this technique. The review also brings out the scopes of laser speckle-based analysis in various medical applications.

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References

  1. Archbold E, Burch JM, Ennos AE (1970) Recording of in-plane surface displacement by double-exposure speckle photography. Opt Applicata 17(12):883–898

    Article  Google Scholar 

  2. Archbold E, Ennos AE (1972) Displacement measurement from double-exposure laser photographs. Opt Applicata 19:253–271

    Article  Google Scholar 

  3. Briers JD, Webster S (1995) Quasi real-time digital version of single-exposure speckle photography for full-field monitoring of velocity or flow fields. Opt Commun 116:36–42

    Article  CAS  Google Scholar 

  4. Briers JD, Webster S (1996) Laser speckle contrast analysis (LASCA): a nonscanning, full-field technique for monitoring capillary blood flow. J Biomed Opt 1(2):174–179

    Article  Google Scholar 

  5. Briers JD, Richards G, He XW (1999) Capillary blood flow monitoring using laser speckle contrast analysis (LASCA). J Biomed Opt 4:164–175

    Article  Google Scholar 

  6. Briers JD (2001) Laser Doppler, speckle and related techniques for blood perfusion mapping and imaging. Physiol Meas 22:R35–R66

    Article  PubMed  CAS  Google Scholar 

  7. Briers JD (2007) Laser speckle contrast imaging for measuring blood flow. Opt Applicata 37:1–2

    Google Scholar 

  8. Bonner R, Nossal R (1981) Model for laser Doppler measurements of blood flow in tissue. Appl Opt 20:2097–2107

    Article  PubMed  CAS  Google Scholar 

  9. Bandyopadhyay R, Gittings AS, Suh SS, Dixon PK, Durian DJ (2005) Speckle-visibility spectroscopy: a tool to study time-varying dynamics. Rev Sci Instrum 76:093110

    Article  Google Scholar 

  10. Choi B, Kang NM, Nelson JS (2004) Laser speckle imaging for monitoring blood flow dynamics in the in vivo rodent dorsal skin fold model. Microvasc Res 68:143–146

    Article  PubMed  Google Scholar 

  11. Choi B, Ramirez-San-Juan JC, Lotfi J, Nelson JS (2006) Linear response range characterization and in vivo application of laser speckle imaging of blood flow dynamics. J Biomed Opt 11:041129

    Article  PubMed  Google Scholar 

  12. Cheng H, Luo Q, Zeng S, Chen S, Cen J, Gong H (2003) Modified laser speckle imaging method with improved spatial resolution. J Biomed Opt 8:559–564

    Article  PubMed  Google Scholar 

  13. Cheng H, Duong TQ (2007) Simplified laser-speckle-imaging analysis method and its application to retinal blood flow imaging. Opt Lett 32:2188–2190

    Article  PubMed  Google Scholar 

  14. Crowe JA, Carpenter J, Hopcraft K (2012) An explanation for the effectiveness of the ‘Draijer’ algorithm for high speed laser Doppler perfusion imaging. Med Biol Eng Comput. doi:10.1007/s11517-012-0865-0

  15. Draijer M, Hondebrink E, Leeuwen TV, Steenbergen W (2009) Review of laser speckle contrast techniques for visualizing tissue perfusion. Lasers Med Sci 24:639–651

    Article  PubMed  Google Scholar 

  16. Duncan DD, Kirkpatrick SJ, Gladish JC (2008) What is the proper statistical model for laser speckle flowmetry. In: Tuchin VV, Wang LV (eds) Complex dynamics and fluctuations in biomedical photonics. In: Proceedings of the SPIE, vol 6855, pp 685502–685507

  17. Dunn AK, Bolay H, Moskowitz MA, Boas DA (2001) Dynamic imaging of cerebral blood flow using laser speckle. J Cereb Blood Flow Metabol 21:195–201

    CAS  Google Scholar 

  18. Fercher AF, Briers JD (1981) Flow visualization by means of single-exposure speckle photography. Opt Commun 37:326–330

    Article  Google Scholar 

  19. Fercher A F, Briers J D (1982) A laser speckle technique for the visualization of retinal blood flow. In: Proceedings of the SPIE, vol 369, pp 22–28

  20. Fujii H, Konishi N, Yamamoto Y, Ikawa H, Ohura T (1987) Evaluation of blood flow by laser speckle image sensing; Part 1. Appl Opt 26(24):5321–5325

    Google Scholar 

  21. Fujii H, Konishi N, Lee MC (2007) Blood flow analyses with laser speckle flowgraphy. Chin Opt Lett 5:S235–S236

    Google Scholar 

  22. Forrester KR, Stewart C, Tulip J, Leonard C, Bray RC (2002) Comparison of laser speckle and laser Doppler perfusion imaging: measurement in human skin and rabbit articular tissue. Med Biol Eng Comput 40:687–697

    Article  PubMed  CAS  Google Scholar 

  23. Forrester K, Doschak M, Bray RC (1997) In vivo comparison of scanning technique and wavelength in laser Doppler perfusion imaging: measurement in knee ligaments of adult rabbits. Med Biol Eng Comput 35:581–586

    Article  PubMed  CAS  Google Scholar 

  24. Forrester KR, Tulip J, Leonard C, Bray RC, Robert C (2004) A laser speckle imaging technique for measuring tissue perfusion. IEEE Trans Biomed Eng 51:2074–2084

    Article  PubMed  Google Scholar 

  25. Forrester KR, Stewart C, Tulip J, Leonard C, Bray R (2003) Endoscopic laser imaging of tissue perfusion: new instrumentation and technique. Lasers Surg Med 33(3):151–157

    Article  PubMed  CAS  Google Scholar 

  26. Goodman JW (2008) Speckle phenomena in optics: theory and applications, 1st Indian edition, Viva Books Pvt. Ltd, New Delhi

  27. Goodman JW, Parry G (1984) Laser speckle and related phenomena. Springer, Berlin/Heidelberg/New York

    Google Scholar 

  28. Hagblad J, Lindberg LG, Kaisdotter Andersson A, Bergstrand S, Lindgren M, Ek AC, Folke M, Lindén M (2010) A technique based on laser Doppler flowmetry and photoplethysmography for simultaneously monitoring blood flow at different tissue depths. Med Biol Eng Comput 48(5):415–22

    Google Scholar 

  29. Humeau A, Steenbergen W, Nilsson H, Strömberg T (2007) Laser Doppler perfusion monitoring and imaging: novel approaches. Med Biol Eng Comput 45(5):421–435

    Article  PubMed  Google Scholar 

  30. Humeau-Heurtier A, Buard B, Mahe G, Abraham P (2012) Laser speckle contrast imaging of the skin: interest in processing the perfusion data. Med Biol Eng Comput 50(2):103–105

    Article  PubMed  Google Scholar 

  31. Iwai T, Shigeta K (1990) Experimental study on the spatial correlation properties of speckled speckles using digital speckle photography. Appl Phys 29:1099–1102

    Google Scholar 

  32. Kubota J (2002) Effects of diode laser therapy on blood flow in axial pattern flaps in the rat model. Lasers Med Sci 17:146–153

    Article  PubMed  CAS  Google Scholar 

  33. Kruijt B, de Bruijn HS, van der Ploeg-van den Heuvel A, Sterenborg HJCM, Robinson DJ (2006) Laser speckle imaging of dynamic changes in flow during photodynamic therapy. Lasers Med Sci 21:208–212

    Google Scholar 

  34. Konishi N, Tokimoto Y, Kohra K, Fujii H (2002) New laser speckle flowgraphy system using CCD camera. Opt Rev 9:163–196

    Article  Google Scholar 

  35. Leahy MJ, Enfield JG, Clancy NT, O’Doherty J, McNamara P, Nilsson GE (2007) Biophotonic methods in microcirculation imaging. Med Laser Appl 22:105–126

    Article  Google Scholar 

  36. Li P, Ni S, Zhang L, Zeng S, Luo Q (2006) Imaging cerebral blood flow through the intact rat skull with temporal laser speckle imaging. Opt Lett 31:1824–1826

    Article  PubMed  Google Scholar 

  37. Liao F, Struck BD, Macrobert M, Jan YK (2011) Multifractal analysis of nonlinear complexity of sacral skin blood flow oscillations in older adults. Med Biol Eng Comput 49(8):925–934

    Article  PubMed  Google Scholar 

  38. Le TM, Paul JS, Al-Nashash H, Tan A, Luft AR, Sheu FS, Ong SH (2007) New insights into image processing of cortical blood flow monitors using laser speckle imaging. IEEE Trans Biomed Eng 26:833–842

    Google Scholar 

  39. MacKintosh FC, Zhu JX, Pine DJ, Weitz DA (1989) Polarization memory of multiply scattered light. Phys Rev B 40:9342–9345

    Article  CAS  Google Scholar 

  40. Nadkarni SK, Bouma BE, Helg T, Chan R, Halpern E, Chau A, Minsky MS, Motz JT, Houser SL, Tearney GJ (2005) Characterization of atheroslerotic plaques by laser speckle imaging. Circulation 112:885–892

    Article  PubMed  Google Scholar 

  41. Nagahara M, Tamaki Y, Araie M, Fujii H (1999) Real-time blood velocity measurements in human retinal vein using the laser speckle phenomenon. Jpn J Opthalmol 43:186–195

    Article  CAS  Google Scholar 

  42. Nothdurft R, Yao G (2005) Imaging obscured subsurface inhomogeneity using laser speckle. Opt Express 13:10034–10039

    Article  PubMed  Google Scholar 

  43. Ohtsubo J, Asakura T (1976) Velocity measurement of a diffuse object by using time-varying speckles. Opt Quant Electron 8:523–529

    Article  Google Scholar 

  44. Parthasarathy AB, Tom WJ, Gopal A, Zhang X, Dunn AK (2008) Robust flow measurement with multi-exposure speckle imaging. Opt Express 16:1975–1989

    Article  PubMed  Google Scholar 

  45. Ramirez-San-Juan JC, Ramos-Garcia R, Guizar-Iturbide I, Martinez-Niconoff G, Choi B (2008) Impact of velocity distribution assumption on simplified laser speckle imaging equation. Opt Express 16:3197–3203

    Article  PubMed  Google Scholar 

  46. Ramirez-San-Juan J C, Nelson J S, Choi B (2006) Comparison of Lorentzian and Guassian-based approaches for laser speckle imaging of blood flow dynamics. In: Tuchin VV, Izatt JA, Fujimoto JG (eds) Coherence domain optical methods and optical coherence tomography in biomedicine. Proceedings of the SPIE, vol 6079, pp 380–383

  47. Richards G J, Briers J D (1997) Laser speckle contrast analysis (LASCA): a technique for measuring capillary blood flow using the first-order statistics of laser speckle patterns. In: IEE colloquium (Digest), vol 124. London, pp 11–1

  48. Richards GJ, Briers JD (1997) Capillary-blood-flow monitoring using laser speckle contrast analysis (LASCA): improving the dynamic range. In: Tuchin VV, Podbielska H, Ovryn B (eds) Coherence domain optical methods in biomedical science and clinical applications. Proceedings of the SPIE, vol 2981, pp 160–171

  49. Stern MD, Lappe DL, Bowen PD, Chimosky JE, Holloway GA, Keiser HR, Bowman RL (1977) Continuous measurement of tissue blood flow by laser Doppler spectroscopy. Am J Physiol 232(4):H441–H448

    PubMed  CAS  Google Scholar 

  50. Sugiyama T, Araie M, Riva CE, Schmetterer L, Orgul S (2010) Use of laser speckle flowgraphy in ocular blood flow research. Acta Ophthalmol 88:723–729

    Article  PubMed  Google Scholar 

  51. Smith TK, Choi B, Ramirez-San-Juan JC, Nelson JS, Osann K, Kelly KM (2006) Microvascular blood flow dynamics associated with photodynamic therapy, pulsed dye laser irradiation and combined regimens. Lasers Surg Med 38:532–539

    Article  PubMed  Google Scholar 

  52. Tan YK, Liu WZ, Yew YS, Ong SH, Paul JS (2004) Speckle image analysis of cortical blood flow and perfusion using temporally derived contrasts. International conference on image processing ICIP 2004. Proceedings of the IEEE, vol 5, pp 3323–3326

  53. Völker AC, Zakharov P, Weber B, Buck F, Scheffold F (2005) Laser speckle imaging with an active noise reduction scheme. Opt Express 13:9782–9787

    Article  PubMed  Google Scholar 

  54. Webster S (1995) Time -integrated speckle for the full-field visualisation of motion, with particular reference to capillary blood flow PhD Thesis, Kingston University

  55. Yuan S, Devor A, Boas DA, Dunn AK (2005) Determination of optimal exposure time for imaging of blood flow changes with laser speckle contrast imaging. Appl Opt 44:1823–1830

    Article  PubMed  Google Scholar 

  56. Yaoeda K, Shirakashi M, Funaki S, Funaki H, Nakatsue T, Fukushima A, Abe H (2000) Measurement of microcirculation in optic nerve head by laser speckle flowgraphy in normal volunteers. Am J Opthalmol 130:606–610

    Article  CAS  Google Scholar 

  57. Zimnyakov D A, Misnin A B (2001) Blood microcirculation monitoring by use of spatial filtering of time-integrated speckle patterns: potentialities to improve the depth resolution. In: Priezzhev AV, Cote GL (eds) Optical diagnostics and sensing of biological fluids and glucose and cholesterol monitoring. Proceedings of the SPIE, vol 4263, pp 73–82

  58. Zimnyakov DA, Mishin AB, Bednov AA, Cheung C, Tuchin VV, Yodh AG (1999) Time-dependent speckle contrast measurements for blood microcirculation monitoring. In: Priezzhev AV, Asakura T (eds) Optical diagnostics of biological fluids. Proceedings of the SPIE, vol 3599, pp 157–166

  59. Zakharov P, Völker A, Buck A, Weber B, Scheffold F (2006) Quantitative modeling of laser speckle imaging. Opt Lett 31:3465–3467

    Article  PubMed  Google Scholar 

  60. Zhu D, Lu W, Weng Y, Cui H, Luo Q (2007) Monitoring thermal-induced changes in tumor blood flow and microvessels with laser speckle contrast imaging. Appl Opt 46:1911–1917

    Article  PubMed  Google Scholar 

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Authors and Affiliations

  1. School of Medical Science and Technology, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India

    Kausik Basak, M. Manjunatha & Pranab Kumar Dutta

  2. Department of Electrical Engineering, Indian Institute of Technology Kharagpur, Kharagpur, 721302, India

    Pranab Kumar Dutta

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  1. Kausik Basak
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  2. M. Manjunatha
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Correspondence to Kausik Basak.

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Basak, K., Manjunatha, M. & Dutta, P.K. Review of laser speckle-based analysis in medical imaging. Med Biol Eng Comput 50, 547–558 (2012). https://doi.org/10.1007/s11517-012-0902-z

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