Performance Analysis of Spatial Laser Speckle Contrast Implementations

Pedro G. Vaz, Anne Humeau-Heurtier, Edite Figueiras, Carlos Correia, João Cardoso

2017

Abstract

This work presents an analysis of the performances for four different implementations used to compute laser speckle contrast on images. Laser speckle contrast is a widely used imaging technique for biomedical applications. These implementations were tested using synthetic laser speckle patterns with different resolutions, speckle sizes, and contrasts. From the applied methods, three implementations are already known in the literature. A new alternative is proposed herein, which relies on two-dimensional convolutions, in order to improve the image processing time without compromising the contrast assessment. The proposed implementation achieves a processing time two orders of magnitude lower than the analytical evaluation. The goal of this technical manuscript is to help the developers and researchers in computing laser speckle contrast images.

References

  1. Briers, D., Duncan, D., Kirkpatrick, S., Larsson, M., Stromberg, T., and Thompson, O. (2013). Laser speckle contrast imaging : theoretical and practical limitations. J. Bomedical Opt., 18(6):1-9.
  2. Briers, J. and 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.
  3. Carlo, S. D., Gambardella, G., Indaco, M., Rolfo, D., Tiotto, G., and Prinetto, P. (2011). An area-efficient 2-D convolution implementation on FPGA for space applications. In IEEE 6th Int. Des. Test Work., pages 88-92. IEEE.
  4. Cheng, H. and Duong, T. Q. (2007). Simplified laserspeckle-imaging analysis method and its application to retinal blood flow imaging. Opt. Lett., 32(15):2188-2190.
  5. Draijer, M., Hondebrink, E., van Leeuwen, T., and Steenbergen, W. (2009). Review of laser speckle contrast techniques for visualizing tissue perfusion. Lasers Med. Sci., 24(4):639-651.
  6. Duncan, D. and Kirkpatrick, S. (2008). Spatio-temporal algorithms for processing laser speckle imaging data. In Opt. Tissue Eng. Regen. Med. II, number February, pages 685802-685802-6. International Society for Optics and Photonics.
  7. Huang, Y., Tran, N., Shumaker, P. R., Kelly, K., Ross, E. V., Nelson, J. S., and Choi, B. (2009). Blood flow dynamics after laser therapy of port wine stain birthmarks. Lasers Surg. Med., 41(8):563-571.
  8. Humeau-Heurtier, A., Guerreschi, E., Abraham, P., and Mahé, G. (2013). Relevance of laser Doppler and laser speckle techniques for assessing vascular function: State of the art and future trends. IEEE Trans. Biomed. Eng., 60(3):659-666.
  9. Kazmi, S. M. S., Richards, L. M., Schrandt, C. J., Davis, M. a., and Dunn, A. K. (2015). Expanding applications, accuracy, and interpretation of laser speckle contrast imaging of cerebral blood flow. J. Cereb. Blood Flow Metab., 35(7):1076-1084.
  10. Kirkpatrick, S., Duncan, D., Wang, R., and Hinds, M. (2007). Quantitative temporal speckle contrast imaging for tissue mechanics. J. Opt. Soc. Am. A. Opt. Image Sci. Vis., 24(12):3728-3734.
  11. Liu, S., Li, P., and Luo, Q. (2008). Fast blood flow visualization of high-resolution laser speckle imaging data using graphics processing unit. Opt. Express, 16(19):2188-2190.
  12. Perimed AB (2015). Pericam psi sytem. https://www.perimed-instruments.com/ products/pericam-psi.
  13. Perri, S., Lanuzza, M., Corsonello, P., and Cocorullo, G. (2005). A high-performance fully reconfigurable FPGA-based 2D convolution processor. Microprocess. Microsyst., 29(89):381-391.
  14. Rege, A., Thakor, N., Rhie, K., and Pathak, A. (2012). In vivo laser speckle imaging reveals microvascular remodeling and hemodynamic changes during wound healing angiogenesis. Angiogenesis, 15(1):87-98.
  15. Roustit, M., Millet, C., Blaise, S., Dufournet, B., and Cracowski, J. L. (2010). Excellent reproducibility of laser speckle contrast imaging to assess skin microvascular reactivity. Microvasc. Res., 80(3):505-511.
  16. Ruaro, B., Sulli, A., Alessandri, E., Pizzorni, C., Ferrari, G., and Cutolo, M. (2013). Laser speckle contrast analysis: a new method to evaluate peripheral blood perfusion in systemic sclerosis patients. Ann. Rheum. Dis., pages annrheumdis-2013.
  17. Steimers, A., Farnung, W., and Kohl-Bareis, M. (2016). Improvement of Speckle Contrast Image Processing by an Efficient Algorithm BT - Oxygen Transport to Tissue XXXVII. pages 419-425. Springer New York, New York, NY.
  18. Sturesson, C., Milstein, D. M. J., Post, I. C. J. H., Maas, A. M., and van Gulik, T. M. (2013). Laser speckle contrast imaging for assessment of liver microcirculation. Microvasc. Res., 87:34-40.
  19. Tom, W. J., Ponticorvo, A., and Dunn, A. K. (2008). Efficient processing of laser speckle contrast images. Med. Imaging, IEEE Trans., 27(12):1728-1738.
  20. Vaz, P., Pereira, T., Figueiras, E., Correia, C., HumeauHeurtier, A., and Cardoso, J. (2016a). Which wavelength is the best for arterial pulse waveform extraction using laser speckle imaging? Biomed. Signal Process. Control, 25:188-195.
  21. Vaz, P. G., Humeau-Heurtier, A., Figueiras, E., Correia, C., and Cardoso, J. (2016b). Laser speckle imaging to monitor microvascular blood flow: a Review. IEEE Rev. Biomed. Eng., In press(99):1-1.
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Paper Citation


in Harvard Style

Vaz P., Humeau-Heurtier A., Figueiras E., Correia C. and Cardoso J. (2017). Performance Analysis of Spatial Laser Speckle Contrast Implementations . In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2017) ISBN 978-989-758-214-1, pages 148-153. DOI: 10.5220/0006141101480153


in Bibtex Style

@conference{bioinformatics17,
author={Pedro G. Vaz and Anne Humeau-Heurtier and Edite Figueiras and Carlos Correia and João Cardoso},
title={Performance Analysis of Spatial Laser Speckle Contrast Implementations},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2017)},
year={2017},
pages={148-153},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006141101480153},
isbn={978-989-758-214-1},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 3: BIOINFORMATICS, (BIOSTEC 2017)
TI - Performance Analysis of Spatial Laser Speckle Contrast Implementations
SN - 978-989-758-214-1
AU - Vaz P.
AU - Humeau-Heurtier A.
AU - Figueiras E.
AU - Correia C.
AU - Cardoso J.
PY - 2017
SP - 148
EP - 153
DO - 10.5220/0006141101480153