Application of Artificial Intelligence Methods in Carotid Artery Segmentation: A Review

The carotid artery is one of the most important blood vessels that supply to brain. If thrombus occurs, it may cause cerebral ischemic stroke and endanger life. Carotid intima-media thickness stability plaque are essential indicators for predicting stroke, which can be measured through medical image segmentation. Therefore, automatic accurate segmentation measurement area volume great significance risk prediction treatment. However, due complex shape characteristics imaging, traditional methods (such as threshold methods, region growth methods) not segment very well. In recent years, researchers have taken artificial intelligence (traditional machine learning deep learning) a critical research method extensive has been performed with satisfactory results. this paper, we present comprehensive review using methods. We first briefly introduce processing And then, summarize application in (including lumen, media-adventitia, lumen-intima, plaques). Finally, challenges current analyzed.