On-line detection of red blood cell shape using deformable templates

Pattern Recognition Letters

Volumn 21, Issue 5, 2000, Pages 413-424

  Bronkorsta, P J H ^a   Reinders, M J T ^b   Hendriks, E A ^b   Grimbergen, J ^a   Heethaar, R M ^a   Brakenhoff, G J ^a  

^a VU UNIVERSITY AMSTERDAM   (Netherlands)

^b DELFT UNIVERSITY OF TECHNOLOGY   (Netherlands)

Author keywords

Parametric deformable template; Red blood cell shape; Red cell deformability

Indexed keywords

COMPUTER VISION; EDGE DETECTION; FEATURE EXTRACTION; IMAGE ANALYSIS; ONLINE SYSTEMS; PATTERN MATCHING;

OPTICAL TRAPPING;

OBJECT RECOGNITION;

EID: 0033750678     PISSN: 01678655     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0167-8655(00)00012-X     Document Type: Article

References (13)

1. Bessis M., Mohandas N. A diffractometric method for the measurement of cellular deformability. Blood Cells. 1:1975;307-313.
2. Bronkhorst P.J.H., Streekstra G.J., Grimbergen J., Nijhof E.J., Sixma J.J., Brakenhoff G.J. A new method to study shape recovery of red blood cells using multiple optical trapping. Biophys. J. 69:1995;1666-1673.
3. Chien S. Red cell deformability and its relevance to blood flow. Annu. Rev. Physiol. 49:1987;177-192.
4. Cootes F.C., Taylor C.J., Cooper D.H., Graham J. Active shape models - their training and application. Comput. Vision Image Understanding. 61:1995;38-59.
5. Evans E.A. Structure and deformation properties of red blood cells: concepts and quantitative methods. Methods Enzymol. 173:1989;3-35.
6. Illingworth J., Kitter J. A survey of Hough transform. CVGIP. 1:1988;321-331.
7. Jain, A.K., Zhong, Y., Lakshmanan, S. 1996. Object matching using deformable templates. IEEE Trans. Pattern Anal. Machine Intelligence 18.
8. Kass M., Witkin A., Terzopoulos D. Snakes: Active contour models. Int. J. Comput. Vision. 1(4):1988;321-331.
9. Press, W.H., Teuko, S.A., Vetterling, W.T., Flannery, B.P., 1994. In: Numerical Recipes in C, second ed. Cambridge University Press, Cambridge, MA, USA.
10. Staib L.H., Duncan J.S. Boundary finding with parametrically deformable models. IEEE Trans. Pattern Anal. Machine Intelligence. 14:1992;1061-1075.
11. Sutera S.P., Gardner R.A., Boylan C.W., Caroll G.L., Chang K.C., Marvel J.S., Kilo C., Gonen B., Williamson J.R. Age related changes in deformability of human erythrocytes. Blood. 65:1985;275-282.
12. Teitel P. Basic principles of the "Filterability Test (FT)" and analysis of erythrocyte flow behavior. Blood Cells (Berl). 3:1977;55-70.
13. Yuille A.L., Hallinan P.W., Cohen D. Feature extraction from faces using deformable templates. Int. J. Comput. Vision. 6:1992;133-144.