期刊
PHOTOACOUSTICS
卷 7, 期 -, 页码 12-19出版社
ELSEVIER GMBH
DOI: 10.1016/j.pacs.2017.05.002
关键词
Photoacoustic imaging; Spectral analysis; k-means clustering; Lipid composition; Atherosclerosis
类别
资金
- Center of Excellence in Cardiovascular Research Grant
- Fortune-Fry Ultrasound Research Fund
- AHA Postdoctoral Fellowship [16POST27480018]
- IUPUI Graduate Student Imaging Research Fellowship
- [R01HL125385]
Recent advances in atherosclerotic plaque detection have shown that not only does lipid core size and depth play important roles in plaque rupture and thrombi formation, but lipid composition, especially cholesterol deposition, is equally important in determining lesion vulnerability. Here, we demonstrate a spectral analysis assisted photoacoustic imaging approach to differentiate and map lipid compositions within an artery wall. The approach is based on the classification of spectral curves obtained from the sliding windows along time-of-flight photoacoustic signals via a numerical k-means clustering method. The evaluation result on a vessel-mimicking phantom containing cholesterol and olive oil shows accuracy and efficiency of this method, suggesting the potential to apply this approach in assessment of atherosclerotic plaques. (C) 2017 The Authors. Published by Elsevier GmbH.
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