Imaging and Hemodynamic Characteristics of Vulnerable Carotid Plaques and Artificial Intelligence Applications in Plaque Classification and Segmentation
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 imagi...
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| Format: | Article |
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MDPI AG
2023-01-01
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| Series: | Brain Sciences |
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| Online Access: | https://www.mdpi.com/2076-3425/13/1/143 |
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| author | Na Han Yurong Ma Yan Li Yu Zheng Chuang Wu Tiejun Gan Min Li Laiyang Ma Jing Zhang |
| author_facet | Na Han Yurong Ma Yan Li Yu Zheng Chuang Wu Tiejun Gan Min Li Laiyang Ma Jing Zhang |
| author_sort | Na Han |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T13:22:00Z |
| format | Article |
| id | doaj.art-0b0cd109280e48c78aaf3abab02e271a |
| institution | Directory Open Access Journal |
| issn | 2076-3425 |
| language | English |
| last_indexed | 2024-03-09T13:22:00Z |
| publishDate | 2023-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Brain Sciences |
| spelling | doaj.art-0b0cd109280e48c78aaf3abab02e271a2023-11-30T21:28:16ZengMDPI AGBrain Sciences2076-34252023-01-0113114310.3390/brainsci13010143Imaging and Hemodynamic Characteristics of Vulnerable Carotid Plaques and Artificial Intelligence Applications in Plaque Classification and SegmentationNa Han0Yurong Ma1Yan Li2Yu Zheng3Chuang Wu4Tiejun Gan5Min Li6Laiyang Ma7Jing Zhang8Department of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, ChinaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, ChinaSchool of Mathematics and Statistics, Lanzhou University, Lanzhou 730030, ChinaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, ChinaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, ChinaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, ChinaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, ChinaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, ChinaDepartment of Magnetic Resonance, Lanzhou University Second Hospital, Lanzhou 730030, ChinaStroke 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.https://www.mdpi.com/2076-3425/13/1/143vulnerable plaqueVW-HRMRI4D flowartificial intelligencestroke |
| spellingShingle | Na Han Yurong Ma Yan Li Yu Zheng Chuang Wu Tiejun Gan Min Li Laiyang Ma Jing Zhang Imaging and Hemodynamic Characteristics of Vulnerable Carotid Plaques and Artificial Intelligence Applications in Plaque Classification and Segmentation Brain Sciences vulnerable plaque VW-HRMRI 4D flow artificial intelligence stroke |
| title | Imaging and Hemodynamic Characteristics of Vulnerable Carotid Plaques and Artificial Intelligence Applications in Plaque Classification and Segmentation |
| title_full | Imaging and Hemodynamic Characteristics of Vulnerable Carotid Plaques and Artificial Intelligence Applications in Plaque Classification and Segmentation |
| title_fullStr | Imaging and Hemodynamic Characteristics of Vulnerable Carotid Plaques and Artificial Intelligence Applications in Plaque Classification and Segmentation |
| title_full_unstemmed | Imaging and Hemodynamic Characteristics of Vulnerable Carotid Plaques and Artificial Intelligence Applications in Plaque Classification and Segmentation |
| title_short | Imaging and Hemodynamic Characteristics of Vulnerable Carotid Plaques and Artificial Intelligence Applications in Plaque Classification and Segmentation |
| title_sort | imaging and hemodynamic characteristics of vulnerable carotid plaques and artificial intelligence applications in plaque classification and segmentation |
| topic | vulnerable plaque VW-HRMRI 4D flow artificial intelligence stroke |
| url | https://www.mdpi.com/2076-3425/13/1/143 |
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