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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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
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