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Abstract:

The Chagas disease or Tripanosomiasis Americana affects between 16 and 18 million people in endemic areas. This disease affects the beating rate of infected patients' cardiomyocytes. At the Molecular Biology of Chagas Disease Laboratory in Argentina the effect of isolated patient's serum antibodies is studied over rat cardiomyocyte cultures. In this work an image processing application to measure the beating rate of this culture over video sequences is presented. This work is organized as follows. Firstly, a preliminary analysis of the problem is introduced, isolating the main characteristics of the problem. Secondly, a Monte Carlo experiment is designed and used to evaluate the robustness and validity of the algorithm. Finally, an algorithm of order O(T(N log N + N)) for tracking cardiomyocyte membranes is presented, where T is the number of frames and N is the maximum area of the membrane. Its performance is compared against the standard beating rate measure method. © Springer-Verlag Berlin Heidelberg 2005.

Registro:

Documento: Artículo
Título:Development and validation of an algorithm for cardiomyocyte beating frequency determination
Autor:Wassermann, D.; Mejail, M.
Ciudad:Havana
Filiación:Universidad de Buenos Aires, Facultad de Ciencias Exactas y Naturales, Ciudad Universitaria, C1428EGA, Intendente Güiraldes 2160, Argentina
Palabras clave:Algorithms; Biological membranes; Diseases; Image processing; Medical imaging; Patient monitoring; Problem solving; Cardiomyocyte beating frequency; Cardiomyocyte membranes; Monte Carlo experiments; Video sequences; Biomedical engineering
Año:2005
Volumen:3773 LNCS
Página de inicio:420
Página de fin:430
DOI: http://dx.doi.org/10.1007/11578079_44
Título revista:10th Iberoamerican Congress on Pattern Recognition, CIARP 2005
Título revista abreviado:Lect. Notes Comput. Sci.
ISSN:03029743
PDF:https://bibliotecadigital.exactas.uba.ar/download/paper/paper_03029743_v3773LNCS_n_p420_Wassermann.pdf
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_03029743_v3773LNCS_n_p420_Wassermann

Referencias:

  • Bonomo, R., Salata, R., American trypanosomiasis (Chaga's disease: Trypanosoma cruzi) (2000) Nelson Textbook of Pediatrics, , W. B. Saunders
  • Kirchhoff, L., Trypanosoma species (American trypanosomiasis, disease): Biology of trypanosomes (2000) Principles and Practice of Infectious Diseases, , Churchhill Livingstone
  • Levin, M., Proyecto genoma de trypanosoma cruzi asociado al proyecto de genoma humano (1996) IX Jornadas de Becarios, , V Muestra de Ciencia y Técnica
  • Sethian, J.A., A fast marching level set method for monotonically advancing fronts (1996) Proc. Nat. Acad. Sci., 93, pp. 1591-1595
  • Sethian, J.A., (1999) Level Set Methods and Fast Marching Methods, Second Edn., , Cambridge University Press
  • Malladi, R., Sethian, J.A., An o(n log n) algorithm for shape modeling (1996) Proc. Nat. Academy of Sciences, USA, 93, pp. 9389-9392
  • Paragios, N., (2000) Geodesic Active Regions and Level Set Methods: Contributions and Applications in Artificial Vision, , PhD thesis, INRIA Sophia Antipolis
  • Osher, S., Sethian, J.A., Fronts propagating with curvature-dependent speed: Algorithms based on Hamilton-Jacobi formulations (1988) Journal of Computational Physics, 79, pp. 12-49
  • Bland, J.M., Altman, D.G., Measuring agreement in method comparison studies (1999) Statistical Methods in Medical Research, 8, pp. 135-160

Citas:

---------- APA ----------
Wassermann, D. & Mejail, M. (2005) . Development and validation of an algorithm for cardiomyocyte beating frequency determination. 10th Iberoamerican Congress on Pattern Recognition, CIARP 2005, 3773 LNCS, 420-430.
http://dx.doi.org/10.1007/11578079_44
---------- CHICAGO ----------
Wassermann, D., Mejail, M. "Development and validation of an algorithm for cardiomyocyte beating frequency determination" . 10th Iberoamerican Congress on Pattern Recognition, CIARP 2005 3773 LNCS (2005) : 420-430.
http://dx.doi.org/10.1007/11578079_44
---------- MLA ----------
Wassermann, D., Mejail, M. "Development and validation of an algorithm for cardiomyocyte beating frequency determination" . 10th Iberoamerican Congress on Pattern Recognition, CIARP 2005, vol. 3773 LNCS, 2005, pp. 420-430.
http://dx.doi.org/10.1007/11578079_44
---------- VANCOUVER ----------
Wassermann, D., Mejail, M. Development and validation of an algorithm for cardiomyocyte beating frequency determination. Lect. Notes Comput. Sci. 2005;3773 LNCS:420-430.
http://dx.doi.org/10.1007/11578079_44