Abstract
In this study, time-resolved laser-induced fluorescence spectroscopy (TR-LIFS) and ultrasonography were applied to detect vulnerable (high-risk) atherosclerotic plaque. A total of 813 TR-LIFS measurements were taken from carotid plaques of 65 patients, and subsequently analyzed using the Laguerre deconvolution technique. The investigated spots were classified by histopathology as Thin, Fibrotic, Calcified, Low-Inflamed, Inflamed and Necrotic lesions. Spectral and time-resolved parameters (normalized intensity values and Laguerre expansion coefficients) were extracted from the TR-LIFS data. Feature selection for classification was performed by either analysis of variance (ANOVA) or principal component analysis (PCA). A stepwise linear discriminant analysis algorithm was developed for detecting Inflamed and Necrotic lesion, representing the most vulnerable plaques. These vulnerable plaques were detected with high sensitivity (>80%) and specificity (>90%). Ultrasound (US) imaging was obtained in 4 carotid plaques in addition to TR-LIFS examination. Preliminary results indicate that US provides important structural information of the plaques that could be combined with the compositional information obtained by TR-LIFS, to obtain a more accurate diagnosis of vulnerable atherosclerotic plaque.
Original language | English (US) |
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Title of host publication | Annual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings |
Pages | 2663-2666 |
Number of pages | 4 |
DOIs | |
State | Published - 2006 |
Event | 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 - New York, NY, United States Duration: Aug 30 2006 → Sep 3 2006 |
Other
Other | 28th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS'06 |
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Country/Territory | United States |
City | New York, NY |
Period | 8/30/06 → 9/3/06 |
Keywords
- Atherosclerosis
- Laguerre expansion technique
- Time-resolved fluorescence spectroscopy
ASJC Scopus subject areas
- Bioengineering