Assessment of cerebral hemodynamics during neurosurgical procedures using laser speckle image analysis.
Hurst exponent
fractal dimension
injection model
speckle contrast
subarachnoid hemorrhage
Journal
Journal of biophotonics
ISSN: 1864-0648
Titre abrégé: J Biophotonics
Pays: Germany
ID NLM: 101318567
Informations de publication
Date de publication:
09 2019
09 2019
Historique:
received:
31
10
2018
revised:
01
04
2019
accepted:
10
04
2019
pubmed:
16
4
2019
medline:
28
10
2020
entrez:
16
4
2019
Statut:
ppublish
Résumé
Aneurysmal subarachnoid hemorrhage (aSAH) is a severe medical condition associated with a significant cause of mortality throughout the world. Cisterna magna injection model is accepted widely to mimic clinical aSAH and is performed on small animal models to study aSAH during neurosurgery. Coherent light scattered from the surface of the rat brain is used to infer information about the variations in blood flow during this condition. We obtained speckle images from the exposed cortex during the entire experiment using an external tissue imaging system. Contrast and fractal analyses are carried out for the recorded speckle pattern time series. Correlation analysis based on Hurst exponent for these images is found to be a more sensitive tool in studying aSAH as compared to routinely used laser speckle contrast analysis for assessing the changes in blood flow velocity. Additionally, our studies provide improved blood flow detection sensitivity with image Hurst exponent in combination with computed fractal dimension, during an event of aSAH.
Identifiants
pubmed: 30983133
doi: 10.1002/jbio.201800408
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e201800408Informations de copyright
© 2019 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.
Références
N. Plesnila, Stroke Res. Treat. 2013, 2013, 1. https://doi.org/10.1155/2013/651958.
M. S. Sandvei, E. B. Mathiesen, L. J. Vatten, T. B. Muller, H. Lindekleiv, T. Ingebrigtsen, I. Njolstad, T. Wilsgaard, M. L. Lochen, A. Vik, P. R. Romundstad, Neurology 2011, 77, 1833. https://doi.org/10.1212/WNL.0b013e3182377de3.
F. A. Sehba, J. Hou, R. M. Pluta, J. H. Zhang, Prog. Neurobiol. 2012, 97, 14. https://doi.org/10.1016/j.pneurobio.2012.02.003.
M. K. Tso, R. L. MacDonald, Stroke Res. Treat. 2013, 2013, 1. https://doi.org/10.1155/2013/425281.
A. K. Dunn, H. Bolay, M. MA, B. DA, J. Cereb. Blood Flow Metab. 2001, 21, 195. https://doi.org/10.1097/00004647-200103000-00002.
H. Cheng, Q. Luo, S. Zeng, S. Chen, W. Luo, H. Gong, Appl. Optics 2004, 43, 5772. https://doi.org/10.1364/AO.43.005772.
K. Murari, N. Li, A. Rege, X. Jia, A. All, N. Thakor, Appl. Optics 2007, 46, 5340. https://doi.org/10.1364/AO.46.005340.
A. B. Parthasarathy, E. L. Weber, L. M. Richards, D. J. Fox, A. K. Dunn, J. Biomed. Opt. 2010, 15, 066030. https://doi.org/10.1117/1.3526368.
N. Hecht, J. Woitzik, S. König, P. Horn, P. Vajkoczy, J. Cereb. Blood Flow Metab. 2013, 33, 1000. https://doi.org/10.1038/jcbfm.2013.42.
H. Cheng, T. Q. Duong, Opt. Lett. 2007, 32, 2188. https://doi.org/10.1016/j.biotechadv.2011.08.021.Secreted.
H. Cheng, Q. Luo, Q. Liu, Q. Lu, H. Gong, S. Zeng, Phys. Med. Biol. 2004, 49, 1347. https://doi.org/10.1088/0031-9155/49/7/020.
M. Mehrübeoğlu, N. Kehtarnavaz, G. Marquez, M. Duvic, L. V. Wang, Appl. Optics 2002, 41, 182. https://doi.org/10.1364/AO.41.000182.
A. Humeau-Heurtier, B. Buard, G. Mahe, P. Abraham, Med. Biol. Eng. Comput. 2012, 50, 103. https://doi.org/10.1007/s11517-011-0856-6.
J. D. Briers, Physiol. Meas. 2001, 22, R35. https://doi.org/10.1088/0967-3334/22/4/201.
P. M. Vespa, M. R. Nuwer, C. Juhász, M. Alexander, V. Nenov, N. Martin, D. P. Becker, Electroencephalogr. Clin. Neurophysiol. 1997, 103, 607. https://doi.org/10.1016/S0013-4694(97)00071-0.
P. Gkontra, K.-A. Norton, M. M. Żak, C. Clemente, J. Agüero, B. Ibáñez, A. Santos, A. S. Popel, A. G. Arroyo, Sci. Rep. 2018, 8, 1854. https://doi.org/10.1038/s41598-018-19758-4.
A. Humeau-Heurtier, G. Mahe, S. Durand, D. Henrion, P. Abraham, Med. Phys. 2012, 39, 5849. https://doi.org/10.1118/1.4748506.
C. L. Sujatha Narayanan Unni, Proc. SPIE 2012, 8427, 84272M-7. https://doi.org/10.1117/12.921743.
L. Risser, F. Plouraboué, A. Steyer, P. Cloetens, G. Le Duc, C. Fonta, J. Cereb. Blood Flow Metab. 2007, 27, 293. https://doi.org/10.1038/sj.jcbfm.9600332.
H. Ahammer, PLoS One 2011, 6, e24796. https://doi.org/10.1371/journal.pone.0024796.
B. B. Mandelbrot, J. W. van Ness, SIAM Rev. 1968, 10(4), 422.
F. C.-D. la Torre, J. I. González-Trejo, C. A. Real-Ramírez, L. F. Hoyos-Reyes, J. Phys. Conf. Ser. 2013, 475, 012002. https://doi.org/10.1088/1742-6596/475/1/012002.
R. M. Bryce, K. B. Sprague, Sci. Rep. 2012, 2, 1-6. https://doi.org/10.1038/srep00315.
H. E. Hurst, Trans. Am. Soc. Civ. Eng. 1951, 65, 676. https://doi.org/10.1119/1.18629.
F. Latifoǧlu, S. Kara, M. Güney, J. Med. Syst. 2007, 31, 529. https://doi.org/10.1007/s10916-007-9094-8.
F. Liao, D. W. Garrison, Y. K. Jan, Microvasc. Res. 2010, 80, 44. https://doi.org/10.1016/j.mvr.2010.03.009.
C. Lal, S. N. Unni, Med. Biol. Eng. Comput. 2015, 53, 557. https://doi.org/10.1007/s11517-015-1266-y.
C. Lal, A. Banerjee, N. U. Sujatha, J. Biomed. Opt. 2013, 18, 111419. https://doi.org/10.1117/1.JBO.18.11.111419.
G. A. Schubert, L. Schilling, C. Thomé, J. Neurosurg. 2008, 109(6), 1134.
C. Conzen, K. Becker, W. Albanna, H. Clusmann, A. Hoellig, U. Lindauer, G. A. Schubert, J. Cereb. Blood Flow Metab. 2017, 37, 184.
A. K. Jayanthy, N. Sujatha, M. R. Reddy, V. B. Narayanamoorthy, Proc. SPIE 2014, 8952, 89521D9. https://doi.org/10.1117/12.2041874.
A. K. Golińska, Stud. Logic, Gramm. Rhetor. 2012, 115.
P. Mali, A. Mukhopadhyay, Phys. A Stat. Mech. Appl. 2014, 413, 361. https://doi.org/10.1016/j.physa.2014.06.076.