Paper
10 December 2021 Differentiating between stable and progressive carotid atherosclerotic plaques from in-vivo ultrasound images using texture descriptors
Author Affiliations +
Proceedings Volume 12088, 17th International Symposium on Medical Information Processing and Analysis; 120881L (2021) https://doi.org/10.1117/12.2605795
Event: Seventeenth International Symposium on Medical Information Processing and Analysis, 2021, Campinas, Brazil
Abstract
We describe an automatic pipeline for processing ultrasound images of the carotid artery, consisting of image type classification, carotid artery localization, segmentation, feature descriptor extraction, and plaque stability classification. The aim is to distinguish between stable (safe) and progressive (dangerous) atherosclerotic plaques from a single standard ultrasound transversal or longitudinal B-mode examination. The processing pipeline uses modern deep CNN techniques, while the descriptors are based on geometry and wavelets to characterize texture. When testing on a large dataset of 28718 images from 413 patients, we found that our automatically calculated descriptors are statistically significantly different between the two classes with a very high significance level, p < 10−3 . We have also created a random forest-based classifier to distinguish between progressive and stable plaques, although its accuracy remains low (61 ∼ 62%).
© (2021) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Martin Kostelansky, Ana Manzano Rodriguez, Jan Kybic, Miroslav Hekrdla, Ondrej Dvorsky, Jiri Kozel, Patricie Baurova, David Pakizer, and David Skoloudik "Differentiating between stable and progressive carotid atherosclerotic plaques from in-vivo ultrasound images using texture descriptors", Proc. SPIE 12088, 17th International Symposium on Medical Information Processing and Analysis, 120881L (10 December 2021); https://doi.org/10.1117/12.2605795
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KEYWORDS
Image segmentation

Ultrasonography

Arteries

Image classification

Wavelets

Image processing

In vivo imaging

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