Imaging and Hemodynamic Characteristics of Vulnerable Carotid Plaques and Artificial Intelligence Applications in Plaque Classification and Segmentation

Author:

Han NaORCID,Ma Yurong,Li Yan,Zheng Yu,Wu Chuang,Gan Tiejun,Li Min,Ma Laiyang,Zhang Jing

Abstract

Stroke is a massive public health problem. The rupture of vulnerable carotid atherosclerotic plaques is the most common cause of acute ischemic stroke (AIS) across the world. Currently, vessel wall high-resolution magnetic resonance imaging (VW-HRMRI) is the most appropriate and cost-effective imaging technique to characterize carotid plaque vulnerability and plays an important role in promoting early diagnosis and guiding aggressive clinical therapy to reduce the risk of plaque rupture and AIS. In recent years, great progress has been made in imaging research on vulnerable carotid plaques. This review summarizes developments in the imaging and hemodynamic characteristics of vulnerable carotid plaques on the basis of VW-HRMRI and four-dimensional (4D) flow MRI, and it discusses the relationship between these characteristics and ischemic stroke. In addition, the applications of artificial intelligence in plaque classification and segmentation are reviewed.

Funder

National Natural Science Foundation of China

Lanzhou University Second Hospital “Cuiying Technology Innovation Plan” Applied Basic Research Project

Health Industry Research Program Funding Project of Gansu Province

Gansu Province Clinical Research Center for Functional and Molecular Imaging

Special Fund for the Cultivation of Doctoral Candidate in Lanzhou University Second Hospital

Scientific Research Cultivation Plan of Cuiying Students in Lanzhou University Second Hospital

Publisher

MDPI AG

Subject

General Neuroscience

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