Vascular Network Analysis with Manual and Automatic Segmentation Using Fuzzy Mathematical Morphology

DOI

10.2991/eusflat-19.2019.50How to use a DOI?

Keywords

Image processing Vessel segmentation Fuzzy mathematical morphology Vascular features Angiogenesis Choriallantoic membrane

Abstract

The inhibition of new vessel creation, or anti-angiogenesis, has therapeutic interest. In this contribution, we introduce an automatic method to estimate objective indicators of new vessel creation. We use images of the chorioallantoic membrane of chicken embryos, some of which have been injected with a varying degree of methyl jasmonate, which has anti-angiogenic effects. We use fuzzy mathematical morphology to compute an automatic vessel segmentation, which along with the manual ground truth is used to study which features indicating the creation of new vessels can be replicated. Employing hypothesis tests and a PCA analysis, we conclude that our limited database provides positive but moderate results in terms of the statistical significance of the difference of such samples.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Pedro Bibiloni
AU  - Manuel González-Hidalgo
AU  - Amau Mir
AU  - Nuria Prats-Domínguez
PY  - 2019/08
DA  - 2019/08
TI  - Vascular Network Analysis with Manual and Automatic Segmentation Using Fuzzy Mathematical Morphology
BT  - Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019)
PB  - Atlantis Press
SP  - 350
EP  - 357
SN  - 2589-6644
UR  - https://doi.org/10.2991/eusflat-19.2019.50
DO  - 10.2991/eusflat-19.2019.50
ID  - Bibiloni2019/08
ER  -