Publication detail

Computer Analysis of Isolated Cardiomyocyte Contraction Process via Advanced Image Processing Techniques

ODSTRČILÍK, J. ČMIEL, V. KOLÁŘ, R. RONZHINA, M. BAIAZITOVA, L. PEŠL, M. PŘIBYL, J. PROVAZNÍK, I.

Original Title

Computer Analysis of Isolated Cardiomyocyte Contraction Process via Advanced Image Processing Techniques

English Title

Computer Analysis of Isolated Cardiomyocyte Contraction Process via Advanced Image Processing Techniques

Type

conference paper

Language

en

Original Abstract

Isolated cardiomyocytes have been used as valid and useful model in experimental cardiology research for decades. The cell contraction function is usually measured via expensive and complex instruments which can either damage the cell or take much time for setting up. In contrary, recent development of optical microscopy and digital cameras suggests utilization of touch-less cardiomyocyte video acquisition in connection with advanced image processing techniques for evaluation of the cell contraction process. The proposed paper presents an automatic membrane detection method via computer processing of acquired video-sequences by utilization of an active contour model. Evaluation of detected cell area is used for estimation of cardiomyocyte contraction function. The method is evaluated utilizing the comparison with contraction measurement performed via atomic force microscopy technique.

English abstract

Isolated cardiomyocytes have been used as valid and useful model in experimental cardiology research for decades. The cell contraction function is usually measured via expensive and complex instruments which can either damage the cell or take much time for setting up. In contrary, recent development of optical microscopy and digital cameras suggests utilization of touch-less cardiomyocyte video acquisition in connection with advanced image processing techniques for evaluation of the cell contraction process. The proposed paper presents an automatic membrane detection method via computer processing of acquired video-sequences by utilization of an active contour model. Evaluation of detected cell area is used for estimation of cardiomyocyte contraction function. The method is evaluated utilizing the comparison with contraction measurement performed via atomic force microscopy technique.

Keywords

isolated cardiomyocytes, cardiology, contraction, segmentation, active contour

RIV year

2015

Released

07.09.2015

Publisher

Computing in Cardiology, Inc.

Location

Nice, France

ISBN

978-1-4799-4347-0

Book

Computing in Cardiology 2015

Edition

42

Pages from

453

Pages to

456

Pages count

4

BibTex


@inproceedings{BUT117933,
  author="Jan {Odstrčilík} and Vratislav {Čmiel} and Radim {Kolář} and Marina {Ronzhina} and Larisa {Baiazitova} and Martin {Pešl} and Jan {Přibyl} and Ivo {Provazník}",
  title="Computer Analysis of Isolated Cardiomyocyte Contraction Process via Advanced
Image Processing Techniques",
  annote="Isolated cardiomyocytes have been used as valid and useful model in experimental cardiology research for decades. The cell contraction function is usually measured via expensive and complex instruments which can either damage the cell or take much time for setting up. In contrary, recent development of optical microscopy and digital cameras suggests utilization of touch-less cardiomyocyte video acquisition in connection with advanced image processing techniques for evaluation of the cell contraction process. The proposed paper presents an automatic membrane detection method via computer processing of acquired video-sequences by utilization of an active contour model. Evaluation of detected cell area is used for estimation of cardiomyocyte contraction function. The method is evaluated utilizing the comparison with contraction measurement performed via atomic force microscopy technique.",
  address="Computing in Cardiology, Inc.",
  booktitle="Computing in Cardiology 2015",
  chapter="117933",
  edition="42",
  howpublished="print",
  institution="Computing in Cardiology, Inc.",
  year="2015",
  month="september",
  pages="453--456",
  publisher="Computing in Cardiology, Inc.",
  type="conference paper"
}