Application of optical flow algorithms to laser speckle imaging.

Since of its introduction in 1980s, laser speckle imaging has become a powerful tool in flow imaging. Its high performance and low cost made it one of the preferable imaging methods. Initially, speckle contrast measurements were the main algorithm for analyzing laser speckle images in biological flows. Speckle contrast measurements, also referred as Laser Speckle Contrast Imaging (LSCI), use statistical properties of speckle patterns to create mapped image of the blood vessels. In this communication, a new method named Laser Speckle Optical Flow Imaging (LSOFI) is introduced. This method uses the optical flow algorithms to calculate the apparent motion of laser speckle patterns. The differences in the apparent motion of speckle patterns are used to identify the blood vessels from surrounding tissue. LSOFI has better spatial and temporal resolution compared to LSCI. This higher spatial resolution enables LSOFI to be used for autonomous blood vessels detection. Furthermore, Graphics Processing Unit (GPU) based LSOFI can be used for quasi real time imaging.

[1]  Sean J. Kirkpatrick,et al.  What is the proper statistical model for laser speckle flowmetry? , 2008, SPIE BiOS.

[2]  Q. Luo,et al.  Modified laser speckle imaging method with improved spatial resolution. , 2003, Journal of biomedical optics.

[3]  G. W. Morgan,et al.  Wave Propagation in a Viscous Liquid Contained in a Flexible Tube , 1954 .

[4]  Andrew K. Dunn,et al.  Efficient Processing of Laser Speckle Contrast Images , 2008, IEEE Transactions on Medical Imaging.

[5]  Mohammad Zaheer Ansari,et al.  Imaging functional blood vessels by the laser speckle imaging (LSI) technique using Q-statistics of the generalized differences algorithm. , 2016, Microvascular research.

[6]  Pranab K. Dutta,et al.  Review of laser speckle-based analysis in medical imaging , 2012, Medical & Biological Engineering & Computing.

[7]  J D Briers,et al.  Laser speckle contrast analysis (LASCA): a nonscanning, full-field technique for monitoring capillary blood flow. , 1996, Journal of biomedical optics.

[8]  Wolfgang Heidrich,et al.  An evaluation of optical flow algorithms for background oriented schlieren imaging , 2009 .

[9]  Donald D Duncan,et al.  Detrimental effects of speckle-pixel size matching in laser speckle contrast imaging. , 2008, Optics letters.

[10]  Anne Humeau-Heurtier,et al.  Microvascular blood flow monitoring with laser speckle contrast imaging using the generalized differences algorithm. , 2015, Microvascular research.

[11]  Ton van Leeuwen,et al.  Review of laser speckle contrast techniques for visualizing tissue perfusion , 2008, Lasers in Medical Science.

[12]  Manjunatha Mahadevappa,et al.  Learning of speckle statistics for in vivo and noninvasive characterization of cutaneous wound regions using laser speckle contrast imaging. , 2016, Microvascular research.

[13]  Takeo Kanade,et al.  An Iterative Image Registration Technique with an Application to Stereo Vision , 1981, IJCAI.

[14]  Gert Nilsson.  Laser Doppler Perfusion Imaging , 2002, CLEO 2002.

[15]  W. J. Tom,et al.  Robust flow measurement with multi-exposure speckle imaging. , 2008, Optics express.

[16]  T. Mckechnie,et al.  Laser speckle , 1980, Nature.

[17]  Pulsatile Flow in an Elastic Tube , 2016 .

[18]  Ricardo Gutierrez-Osuna,et al.  An Iterative Image Registration Technique Using a Scale-Space Model , 2011 .

[19]  J. Womersley.  XXIV. Oscillatory motion of a viscous liquid in a thin-walled elastic tube—I: The linear approximation for long waves , 1955 .

[20]  Julien Marzat,et al.  Real-Time Dense and Accurate Parallel Optical Flow using CUDA , 2009 .

[21]  Ruikang K. Wang,et al.  Statistics of local speckle contrast. , 2008, Journal of the Optical Society of America. A, Optics, image science, and vision.

[22]  J. Gibson.  The Senses Considered As Perceptual Systems , 1967 .

[23]  D. Durian,et al.  Speckle-visibility spectroscopy: A tool to study time-varying dynamics , 2005, cond-mat/0506081.

[24]  Mohammad Zaheer Ansari,et al.  Monitoring microvascular perfusion variations with laser speckle contrast imaging using a view-based temporal template method. , 2017, Microvascular research.

[25]  Nami Davoodzadeh,et al.  Laser speckle imaging of brain blood flow through a transparent nanocrystalline yttria-stabilized-zirconia cranial implant , 2018, BiOS.

[26]  G. Nilsson,et al.  Laser Doppler perfusion imaging by dynamic light scattering , 1993, IEEE Transactions on Biomedical Engineering.

[27]  L. Allen,et al.  An analysis of the granularity of scattered optical maser light , 1963 .

[29]  C. Riva,et al.  Laser Doppler measurements of blood flow in capillary tubes and retinal arteries. , 1972, Investigative ophthalmology.

[30]  Gunnar Farnebäck,et al.  Two-Frame Motion Estimation Based on Polynomial Expansion , 2003, SCIA.

[31]  J. Goodman.  Statistical Properties of Laser Speckle Patterns , 1963 .

[32]  K. Messmer,et al.  Orthogonal polarization spectral imaging: A new method for study of the microcirculation , 1999, Nature Medicine.

[33]  Hidetoshi Miike,et al.  Determining optical flow from sequential images , 1988, Systems and Computers in Japan.

[34]  Hasan Al-Nashash,et al.  New Insights into Image Processing of Cortical Blood Flow Monitors Using Laser Speckle Imaging , 2007, IEEE Transactions on Medical Imaging.

[35]  J. Briers,et al.  Flow visualization by means of single-exposure speckle photography , 1981 .

[36]  D. Dabiri.  Cross-Correlation Digital Particle Image Velocimetry – A Review , 2007 .

[37]  C. Ince,et al.  Sidestream Dark Field (SDF) imaging: a novel stroboscopic LED ring-based imaging modality for clinical assessment of the microcirculation. , 2007, Optics express.

[38]  Anne Humeau-Heurtier,et al.  Laser Speckle Imaging to Monitor Microvascular Blood Flow: A Review , 2016, IEEE Reviews in Biomedical Engineering.

[39]  Qingming Luo,et al.  Fast blood flow visualization of high-resolution laser speckle imaging data using graphics processing unit. , 2008, Optics express.

[40]  Alejandro F. Frangi,et al.  Muliscale Vessel Enhancement Filtering , 1998, MICCAI.