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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4826))

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Abstract

The commonly used model of the heart for medical applications suffers from some incompleteness when explaining different kinds of measured forces in vivo studies by medical experts. In this paper, we make a statistical analysis of the so-called angle of intrusion automatically. The basis of the proposed method is a set of histological preparations showing heart fibre tissue. We adapt a multi-scale midline extraction process to extract the myocyte strings out of these images and measure the angles of intrusion. Furthermore, a statistical model is derived and validated by the result of a novel parameter estimation technique.

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Petra Perner Ovidio Salvetti

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© 2007 Springer-Verlag Berlin Heidelberg

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Rothaus, K., Jiang, X. (2007). Statistical Analysis of Myocyte Orientations of the Left Ventricular Myocardium. In: Perner, P., Salvetti, O. (eds) Advances in Mass Data Analysis of Signals and Images in Medicine, Biotechnology and Chemistry. MDA 2007. Lecture Notes in Computer Science(), vol 4826. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76300-0_17

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  • DOI: https://doi.org/10.1007/978-3-540-76300-0_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76299-7

  • Online ISBN: 978-3-540-76300-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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