Abstract
Intravascular optical coherence tomography (IVOCT) is an imaging method that has developed rapidly in recent years and is useful in coronary atherosclerosis diagnosis. It is widely used in the assessment of vulnerable plaque. This review summarizes the main research methods used in recent years for blood vessel lumen boundary detection and segmentation and vulnerable plaque segmentation and classification. This article aims to comprehensively and systematically introduce the research progress on internal tissues of blood vessels based on IVOCT images. The characteristics and advantages of various methods have been summarized to provide theoretical ideas and methods for the reference of relevant researchers and scholars.
| Original language | English |
|---|---|
| Article number | e202100376 |
| Journal | Journal of Biophotonics |
| Volume | 15 |
| Issue number | 5 |
| DOIs | |
| Publication status | Published - May 2022 |
Keywords
- IVOCT
- artificial intelligence
- atherosclerosis
- vascular lumen
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