Morphometric analysis of sciatic nerve images: A directional gradient approach

dc.contributor.author Rodrigues,InesV. en
dc.contributor.author Pedro Martins Ferreira en
dc.contributor.author Malheiro,AnaR. en
dc.contributor.author Brites,Pedro en
dc.contributor.author Eduardo José Pereira en
dc.contributor.author Hélder Filipe Oliveira en
dc.date.accessioned 2018-01-11T18:51:49Z
dc.date.available 2018-01-11T18:51:49Z
dc.date.issued 2014 en
dc.description.abstract The extraction of morphometric features from images of biological structures is a crucial task for the study of several diseases. Particularly, concerning neuropathies, the state of the myelination process is vital for neuronal integrity and may be an indicator of the disease type and state. Few approaches exist to automatically analyse nerve morphometry and assist researchers in this time consuming task. The aim of this work is to develop an algorithm to detect axons and myelin contours in myelinated fibres of sciatic nerve images, thus allowing the automated assessment and quantification of myelination through the measurement of the g-ratio. The application of a directional gradient together with an active contour algorithm was able to effectively and accurately determine the degree of myelination in an imagiological dataset of sciatic nerves. It was obtained an average error of 1.80%, in comparison with the manual annotation performed by the specialist in all dataset. © 2014 IEEE. en
dc.identifier.uri http://repositorio.inesctec.pt/handle/123456789/5932
dc.identifier.uri http://dx.doi.org/10.1109/BIBM.2014.6999165 en
dc.language eng en
dc.relation 5573 en
dc.relation 6116 en
dc.relation 5075 en
dc.rights info:eu-repo/semantics/embargoedAccess en
dc.title Morphometric analysis of sciatic nerve images: A directional gradient approach en
dc.type conferenceObject en
dc.type Publication en
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