Name
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. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1109/BIBM.2014.6999165 | Bioinformatics and Biomedicine |
Keywords | Field | DocType |
diseases,feature extraction,gradient methods,medical image processing,neurophysiology,active contour algorithm,automated assessment,axon detection,biological structure images,directional gradient approach,disease state,disease type,g-ratio measurement,imagiological dataset,manual annotation,morphometric analysis,morphometric feature extraction,myelin contour detection,myelinated fibres,myelination degree,myelination process,myelination quantification,nerve morphometry,neuronal integrity,neuropathies,sciatic nerve images | Active contour model,Computer vision,Pattern recognition,Computer science,Manual annotation,Image segmentation,Feature extraction,Artificial intelligence,Machine learning,Sciatic nerve,Myelin | Conference |
ISSN | Citations | PageRank |
2156-1125 | 0 | 0.34 |
References | Authors | |
6 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ines V. Rodrigues | 1 | 0 | 0.68 |
| Pedro M. Ferreira | 2 | 0 | 0.34 |
| Ana R. Malheiro | 3 | 0 | 0.34 |
| Pedro Brites | 4 | 0 | 0.34 |
| Eduardo M. Pereira | 5 | 0 | 0.34 |
| Hélder P. Oliveira | 6 | 9 | 1.80 |