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http://repositorio.inesctec.pt/handle/123456789/5932
Title: | Morphometric analysis of sciatic nerve images: A directional gradient approach |
Authors: | Rodrigues,InesV. Pedro Martins Ferreira Malheiro,AnaR. Brites,Pedro Eduardo José Pereira Hélder Filipe Oliveira |
Issue Date: | 2014 |
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. |
URI: | http://repositorio.inesctec.pt/handle/123456789/5932 http://dx.doi.org/10.1109/BIBM.2014.6999165 |
metadata.dc.type: | conferenceObject Publication |
Appears in Collections: | CTM - Articles in International Conferences |
Files in This Item:
File | Description | Size | Format | |
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P-00G-1JN.pdf Restricted Access | 6.04 MB | Adobe PDF | View/Open Request a copy |
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