Analysis on the erythrocyte shape changes using wavelet transforms

Clinical Hemorheology and Microcirculation

Volumn 33, Issue 4, 2005, Pages 327-335

  Kavitha, Anandan ^a   Ramakrishnan, Swaminathan ^a,b  

^a ANNA UNIVERSITY   (India)

^b ANNA UNIVERSITY   (India)

Author keywords

Blood flow; Microvasculature; Red cell shapes; Wavelet transforms

Indexed keywords

ADULT; ALGORITHM; ANALYTIC METHOD; ARTICLE; BLOOD FLOW; BLOOD VESSEL; ERYTHROCYTE; ERYTHROCYTE SHAPE; ERYTHROCYTE STRUCTURE; HUMAN; HUMAN CELL; IMAGE ANALYSIS; IMAGE PROCESSING; METHODOLOGY; MICROVASCULATURE; MOLECULAR IMAGING; NORMAL HUMAN;

ALGORITHMS; ERYTHROCYTES; HUMANS; IMAGE PROCESSING, COMPUTER-ASSISTED; STRESS, MECHANICAL;

EID: 28644436061     PISSN: 13860291     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (29)

1. M. Bessis, Red cell shapes: An illustrated classification and its rationale, in: Red Cell Shape, M. Bessis, R.I. Weed and P. Leblond, eds, Springer-Verlag, New York, 1973.
2. M. Bessis and N. Mohandas, A diffractometric method for the measurement of cellular deformability, Blood Cells 1 (1975), 307-313.
3. P.J.H. Bronkorsta, M.J.T. Reinders, E.A. Hendriks, J. Gimbergen, R.M. Heethaar and G.J. Brakenhoff, On-line detection of red blood cell shape using deformable templates, Patt. Recog. Letters 21 (2000), 413-424.
4. J.A. Chasis and S.L. Schrier, Membrane deformability and capability of shape changes in erythrocytes. Blood 74 (1989), 2562-2568.
5. S. Chien, Red cell deformability and its relevance to blood flow, Ann. Rev. Physiol. 49 (1987), 177-192.
6. B. Deuticke, Transformation and restoration of biconcave shape of human erythrocytes induced by amphiphilic agents and changes of ionic environment, Biochim. Biophys. Acta 163 (1968), 494-500.
7. J.G.G. Dobbe, G.J. Streekstra, M.R. Hardeman, C. Ince and C.A. Grimbergen, Measurement of the distribution of red blood cell deformability using an automated rheoscope, Cytometry 50 (2002), 313-325.
8. E.A. Evans. Structure and deformation properties of red blood cell concepts and quantitative methods. Method and Enzymol. 173 (1989), 3-35.
9. T.M. Fischer, Störm and H. Schmid-Schönbein, The red cell as a fluid droplet: tank tread like motion of human erythrocyte membrane in shear flow, Science 202 (1978), 894-896.
10. H.L. Goldsmith, The microrheology of human blood, Microvas. Res. 31 (1986), 1-14.
11. J.M. Healy Jr. and J.B. Weaver, Two applications of wavelets and related techniques in medical imaging, Ann. Biomed. Eng. 23 (1995), 637-665.
12. D.K. Kumar, N.D. Pah and A. Bradley, Wavelet analysis of surface electromyography to determine muscle fatigue, IEEE Trans. Neural Sys. Rehab. Eng. 11 (2003), 400-406.
13. A. Lewis and G. Knowles, Image compression using 2-D wavelet transforms, IEEE Trans. Imag. Proc. 1 (1992), 244-250.
14. N. Maeda, Erythrocyte rheology in microcirculation, Jpn. J. Physiol. 46 (1996), 1-14.
15. N. Meada, Y. Suzuki and N. Tateishi, Rheological properties of erythrocytes in the microcirculation: Some consideration for the extrapolation of in vitro experiments to in vivo phenomena, ISB Congress and ICCH Conference Symposia, S12-2, 626.
16. H.J. Meiselman, Rheology of shape-transformed human red blood cells, Biorheology 15 (1978), 225-237.
17. Y. Meyer, Wavelet Algorithms and Applications, Soc. For Ind. Appl. Math., Pliladelphia, 1993.
18. N. Mohandas, J.A. Chasis and B.S. Stephen, The influence of membrane skeleton on red cell deformability, membrane material properties and shape, Seminars in Hematology 20 (1983), 225-242.
19. Ch.F. Mokken, M. Kedaria, Ch.P. Henry, M.R. Hardeman and A.W. Gelb, The clinical importance of erythrocyte deformability, hemorrheological parameter, Hematology 64 (1992), 113-122.
20. S. Ramakrishnan, R. Grebe, M. Singh and H. Schmid-Schönbein, Aggregation of shape altered erythrocytes: An in vitro study, Current Sci. 77 (1999), 805-808.
21. S. Ramakrishnan, R. Grebe, M. Singh and H. Schmid-Schönbein, Analysis of risk factor profile in plasmacytoma patients, Clin. Hemorheol. Microcirc. 20 (1999), 20-25.
22. H. Schmid-Schönbein, T. Fischer, G. Driessen and H. Riegher, Microcirculation, in: Clinical and Research Applications of Engineering Principles, N.H.C. Hwang, D.R. Gross and D.J. Patel, eds, University Park Press, Baltimore, MD, 1979, pp. 353-465.
23. H. Schmid-Schönbein and P. Gaehtgens, What is red cell deformability?, Scand. J. Clin. Lab. Invest. 41 (1981), 13-26.
24. M.P. Sheetz and S.J. Singer, Biological membranes as bilayer couples. A molecular mechanism of drug-erythrocyte interactions, Proc. Nat. Acad. Sci. USA 71 (1974), 4456-4461.
25. S.P. Sutera, R.A. Gardner, C.W. Boylan, G.L. Caroll, C. Chang, J.S. Marvel, S. Kilo, B. Gonen and J.R. Williamson, Age related changes in deformability of human erythrocytes, Blood 65 (1985), 275-282.
26. P. Teital, Basic principles of the Filterability Test (FT) and analysis of erythrocyte flow behavior, Blood Cells (Berl.) 3 (1997), 55-70.
27. J.Z. Wang, Wavelets and imaging informatics: A review of the literature, J. Biomed. Informat. 34 (2001), 129-141.
28. R.I. Weed, The importance of erythrocyte deformability, Ann. J. Med. 49 (1970), 147-151.
29. J. Yu and M. Ekstörm, Multispectral image classification using wavelets: A simulation study, Patt. Recog. 36 (2003), 889-898.