Abstract
The article deals with complex analysis of myocardial fibrosis. In clinical practice, myocardial fibrosis is commonly examined by MRI. This kind of disease is commonly assessed by human eyes. There isn’t any diagnostic software alternative for evaluation of myocardial fibrosis features. The proposed method partially solves this problem. The main intention is automatic extraction of fibrosis area. This area is represented by closed curve which reflects shape of analyzed object. At the beginning of algorithm, initial circle is set on the fibrosis area. In iterative steps, this circle adopts shape of pathologic lesion. Before execution of segmentation process it is needed to specify region of interest (RoI) and image preprocessing which comprises especially low pass filtration. Filtration process suppresses unwanted adjacent objects. This step is quite important because active shape method could spread out of fibrosis borders and resulting curve has wouldn’t reflect real shape of myocardial fibrosis.
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Acknowledgment
This article has been supported by financial support of TA ČR PRE SEED: TG01010137 GAMA PP1. The work and the contributions were supported by the project SP2015/179 ‘Biomedicínské inženýrské systémy XI’ and This work is partially supported by the Science and Research Fund 2014 of the Moravia-Silesian Region, Czech Republic and this paper has been elaborated in the framework of the project “Support research and development in the Moravian-Silesian Region 2014 DT 1 - Research Teams” (RRC/07/2014). Financed from the budget of the Moravian-Silesian Region.
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Kubicek, J., Bryjova, I., Penhaker, M., Kodaj, M., Augustynek, M. (2016). Extraction of Myocardial Fibrosis Using Iterative Active Shape Method. In: Nguyen, N.T., Trawiński, B., Fujita, H., Hong, TP. (eds) Intelligent Information and Database Systems. ACIIDS 2016. Lecture Notes in Computer Science(), vol 9621. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-49381-6_67
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DOI: https://doi.org/10.1007/978-3-662-49381-6_67
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