Abstract
The article discusses the design of appropriate methodology of segmentation and visualization of MRI data to extract the blood vessels. The main objective of the proposed algorithm is effective separation individual vessels and adjecent structures. In clinical practice, it is necessary to assess the progress of the blood vessels in order to assess the condition of the vascular system. For physician who performs diagnosis is much more rewarding to perform analysis of an image that contains only vascular elements. The proposed method of image segmentation can effectively separate the individual blood vessels from surrounding tissue structures. The output of this analysis is the color coding of the input image data to distinguish contrasting behavior of individual vessels that are at the forefront of our concerns, the structures that we need in the picture.
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Kubicek, J., Penhaker, M., Pavelova, K., Selamat, A., Hudak, R., Majernik, J. (2015). Segmentation of MRI Data to Extract the Blood Vessels Based on Fuzzy Thresholding. In: Barbucha, D., Nguyen, N., Batubara, J. (eds) New Trends in Intelligent Information and Database Systems. Studies in Computational Intelligence, vol 598. Springer, Cham. https://doi.org/10.1007/978-3-319-16211-9_5
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DOI: https://doi.org/10.1007/978-3-319-16211-9_5
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-16210-2
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