| DOI | Trouver le DOI : https://doi.org/10.17691/stm2015.7.1.03 |
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| Auteur | Rechercher : Prakash, Ammu; Rechercher : Hewko, Mark D.1; Rechercher : Sowa, Michael1; Rechercher : Sherif, Sherif S. |
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| Affiliation | - Conseil national de recherches du Canada. Dispositifs médicaux
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| Format | Texte, Article |
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| Sujet | atherosclerotic plaque; automatic thresholding technique; binary image; histogram; image analysis; image clustering algorithm; image processing; image quality; interferometer; optical coherence tomography; spatial dependence matrix; spatial gray level dependent matrix method; swept source optical coherence tomography; texture segmentation; vascular tissue; Watanabe heritable hyperlipidemic rabbit |
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| Résumé | Detection of atherosclerotic plaque from optical coherence tomography (OCT) images by visual inspection is difficult. We developed a texture based segmentation method to identify atherosclerotic plaque automatically from OCT images without any reliance on visual inspection. Our method involves extraction of texture statistical features (spatial gray level dependence matrix method), application of an unsupervised clustering algorithm (K-means) on these features, and mapping of the clustered regions: background, plaque, vascular tissue and an OCT degraded signal region in feature-space, back to the actual image. We verified the validity of our results by visual comparison to photographs of the vascular tissue with atherosclerotic plaque that were used to generate our OCT images. Our method could be potentially used in clinical studies in OCT imaging of atherosclerotic plaque. |
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| Date de publication | 2015 |
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| Dans | |
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| Langue | anglais |
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| Publications évaluées par des pairs | Oui |
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| Numéro NPARC | 21275787 |
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| Exporter la notice | Exporter en format RIS |
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| Signaler une correction | Signaler une correction (s'ouvre dans un nouvel onglet) |
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| Identificateur de l’enregistrement | 7ee506bd-dd14-4738-8a0f-b78742c7cd19 |
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| Enregistrement créé | 2015-07-14 |
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| Enregistrement modifié | 2020-04-22 |
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