A simulation study on photoacoustic signals from red blood cells

Journal of the Acoustical Society of America

Volumn 129, Issue 5, 2011, Pages 2935-2943

  Saha, Ratan K ^a   Kolios, Michael C ^a  

^a RYERSON UNIVERSITY   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

AGGREGATE SIZE; BLOOD SAMPLES; ERYTHROCYTE AGGREGATION; HEXAGONAL PACKING; HUMAN BLOODS; PHOTOACOUSTIC SIGNALS; RED BLOOD CELL; SIMULATION STUDIES; SPECTROSCOPIC METHOD; TWO-DIMENSIONAL SIMULATIONS;

COMPUTER SIMULATION; MONTE CARLO METHODS; SPECTROSCOPIC ANALYSIS;

BLOOD;

ABSORPTION; ACOUSTICS; ALGORITHM; ARTICLE; COMPUTER SIMULATION; ECHOGRAPHY; ERYTHROCYTE; ERYTHROCYTE AGGREGATION; HEAT; HUMAN; LASER; MEAN CORPUSCULAR VOLUME; MONTE CARLO METHOD; PRESSURE; RADIATION EXPOSURE; THEORETICAL MODEL;

ABSORPTION; ACOUSTICS; ALGORITHMS; COMPUTER SIMULATION; ERYTHROCYTE AGGREGATION; ERYTHROCYTE INDICES; ERYTHROCYTES; HOT TEMPERATURE; HUMANS; LASERS; MODELS, THEORETICAL; MONTE CARLO METHOD; PRESSURE;

EID: 79959591706     PISSN: 00014966     EISSN: None     Source Type: Journal    
DOI: 10.1121/1.3570946     Document Type: Article

References (32)

1. L. V. Wang, Prospects of photoacoustic tomography., Med. Phys. 35, 5758-5767 (2008).
2. R. M. Weight, P. S. Dale, and J. A. Viator, Detection of circulating melanoma cells in human blood using photoacoustic flowmetry., Proceedings of the 31st Annual International Conference of the IEEE EMBS, pp. 106-109 (2009).
3. A. B. Karpiouk, S. R. Aglyamov, S. Mallidi, J. Shah, W. G. Scott, J. M. Rubin, and S. Y. Emelianov, Combined ultrasound and photoacoustic imaging to detect and stage deep vein thrombosis: Phantom and ex vivo studies., J. Biomed. Opt. 13 (5), 1-8 (2008).
4. M. Rui, W. Bost, E. Weiss, R. Lemor, and M. C. Kolios, Photoacoustic Microscopy and Spectroscopy of Individual Red Blood Cells. in Biomedical Optics, OSA Technical Digest (CD) (Optical Society of America, 2010), paper BSuD93.
5. H. J. Meiselman, Red blood cell aggregation: 45 years being curious., Biorheology 46, 1-19 (2009).
6. J. J. Bishop, A. S. Popel, M. Intaglietta, and P. C. Johnson, Rheological effects of red blood cell aggregation in the venous network: A review of recent studies., Biorheology 38, 263-274 (2001). (Pubitemid 32568543)
7. S. Kim, A. S. Popel, M. Intaglietta, and P. C. Johnson, Aggregate formation of erythrocytes in postcapillary venules., Am. J. Physiol. Heart Circ. Physiol. 288, H584-H590 (2005).
8. H. Bumler, B. Neu, E. Donath, and H. Kiesewetter, Basic phenomena of red blood cell rouleaux formation., Biorheology 36, 439-442 (1999). (Pubitemid 30194135)
9. A. Chabenel, M. H. Horellou, J. Conard, and M. M. Samama, Red blood cell aggregability in patients with a history of leg vein thrombosis: influence of post-thrombotic treatments., Br. J. Haematol. 88, 174-179 (1994). (Pubitemid 24293869)
10. R. B. Ami, G. Barshtein, D. Zeltser, Y. Goldberg, I. Shapira, A. Roth, G. Keren, H. Miller, V. Prochorov, A. Eldor, S. Berliner, and S. Yedgar, Parameters of red blood cell aggregation as correlates of the inflammatory state., Am. J. Physiol. Heart Circ. Physiol. 280 (5), H1982-H1988 (2001).
11. X. Xu, L. Yu, and Z. Chen, Velocity variation assessment of red blood cell aggregation with spectral domain Doppler optical coherence tomography., Ann. Biomed. Eng. 38, 3210-3217 (2010).
12. S. J. Lee, H. Ha, and K.-H. Nam, Measurement of red blood cell aggregation using X-ray phase contrast imaging., Opt. Express 18, 26052-26061 (2010).
13. F. T. H. Yu and G. Cloutier, Experimental ultrasound characterization of red blood cell aggregation using the structure factor size estimator (SFSE)., J. Acoust. Soc. Am. 122, 645-656 (2007). (Pubitemid 47365977)
14. E. Franceschini, F. T. H. Yu, F. Destrempes, and G. Cloutier, Ultrasound characterization of red blood cell aggregation with intervening attenuating tissue mimicking phantoms using structure factor size and attenuation estimator., J. Acoust. Soc. Am. 127, 1104-1115 (2010).
15. G. J. Diebold, Photoacoustic monopole radiation: Waves from objects with symmetry in one, two and three dimensions., in Photoacoustic Imaging and Spectroscopy, edited by, L. V. Wong, (Taylor Francis Group, LLC, London, 2009), Chap., pp. 3-17.
16. R. K. Saha, E. Franceschini, and G. Cloutier, Assessment of accuracy of the structure-factor-size-estimator method in determining red blood cell aggregate size from ultrasound spectral backscatter coefficient., J. Acoust. Soc. Am. 129, 2269-2277 (2011).
17. A. Ishimaru, Wave Propagation and Scattering in Random Media. (Academic, New York, 1978), Chap., pp. 69-92.
18. M. F. Insana, R. F. Wagner, D. G. Brown, and T. J. Hall, Describing small-scale structure in random media using pulse-echo ultrasound., J. Acoust. Soc. Am. 87, 179-192 (1990). (Pubitemid 20090722)
19. K. K. Shung and G. A. Thieme, Ultrasound Scattering in Biological Tissues. (CRC Press, Boca Raton, 1993), pp. 1-499.
20. D. Savery and G. Cloutier, Effects of red blood cell clustering and aisotropy on ultrasound blood backscatter: A Monte Carlo study., IEEE Trans. Ultrason. Ferroelectr. Freq. Control 52, 94-103 (2005). (Pubitemid 40245478)
21. R. M. Vlad, R. K. Saha, N. M. Alajez, S. Ranieri, G. J. Czarnot, and M. C. Kolios, An increase in cellular size variance contributes to the increase in ultrasound backscatter during cell death., Ultrasound Med. Biol. 36 (9), 1546-1558 (2010).
22. K. K. Shung, Y. W. Yuan, D. Y. Fei, and J. M. Tarbell, Effect of flow disturbance on ultrasonic backscatter from blood., J. Acoust. Soc. Am. 75, 1265-1272 (1984). (Pubitemid 14139207)
23. E. L. Hinrichsen, J. Feder, and T. Jssang, Random packing of disks in two dimensions., Phys. Rev. A 41, 4199-4209 (1990).
24. J. C. Lagarias, J. A. Reeds, M. H. Wright, and P. E. Wright, Convergence properties of the Nelder-Mead simplex method in low dimensions., SIAMJ. Optim. 9 (1), 112-147 (1998).
25. R. K. Saha and G. Cloutier, Monte Carlo study on ultrasound backscattering by three-dimensional distributions of red blood cells., Phys. Rev. E 78 (6), 061919 (2008).
26. http://mathworld.wolfram.com/CirclePacking.html (Last viewed July, 2010).
27. H. F. Zhang, K. Maslov, M. Sivaramakrishnan, G. Stoica, and L. V. Wang, Imaging of hemoglobin oxygen saturation variations in single vessels in vivo using photoacoustic microscopy., Appl. Phys. Lett. 90, 053901 (2007).
28. A. Seiyama, O. Hazeki, and M. Tamura, Noninvasive quantitative analysis of blood oxygenation in rat skeletal muscle., J. Biochem. (Tokyo) 103, 419-424 (1988). (Pubitemid 18090068)
29. P. M. Shankar, Ultrasonic tissue characterization using a generalized Nakagami model., IEEE Trans. Ultrason. Ferroelectr. Freq. Control 48, 1716-1720 (2001). (Pubitemid 34125272)
30. A. S. Tunis, G. J. Czarnota, A. Giles, M. D. Sherar, J. W. Hunt, and M. C. Kolios, Monitoring structural changes in cells with high frequency ultrasound signal statistics., Ultrasound Med. Biol. 31, 1041-1049 (2005). (Pubitemid 41115846)
31. D. P. Hruska and M. L. Oelze, Improved parameter estimates based on the homodyned K distibution., IEEE Trans. Ultrason. Ferroelectr. Freq. Control 56, 2471-2481 (2009).
32. F. Destrempes and G. Cloutier, A critical review and uniformized representation of statistical distributions modeling the ultrasound echo envelope., Ultrasound Med. Biol. 36, 1037-1051 (2010).