Published July 29, 2021
| Version v1
Conference paper
Open
Automatic segmentation and 3D reconstruction of plaque components in carotid artery from ultrasound images
Authors/Creators
- 1. Institute for Information Technologies, University of Kragujevac, Serbia
- 2. Faculty of Science, University of Kragujevac, Serbia
- 3. University of Kragujevac, Serbia
- 4. Clinic for Vascular and Endovascular Surgery, Serbian Clinical Centre, Belgrade, Serbia
Description
Automatic segmentation of the carotid artery wall from ultrasound images and three-dimensional reconstruction of carotid artery are important for the improvement of clinical diagnostics. The main aim of this study is to present the identification and classification of the atherosclerotic plaque components (lipid core, fibrous and calcified tissue), by segmenting the US images using a deep learning model and to use the information gathered from this segmentation to include the three mentioned plaque components within the arterial wall of the reconstructed carotid artery.