Principal component analysis of dynamic fluorescence images for diagnosis of diabetic vasculopathy
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Seo-2016-Principal component.pdf
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Author(s)
Seo, Jihye
An, Yuri
Lee, Jungsul
Ku, Taeyun
Kang, Yujung
Ahn, Chulwoo
Choi, Chulhee
Date Issued
April 2016
Journal
Journal of Biomedical Optics
Publisher
SPIE
Citation
Seo, Jihye, Yuri An, Jungsul Lee, Taeyun Ku, Yujung Kang, Chulwoo Ahn, and Chulhee Choi. “Principal Component Analysis of Dynamic Fluorescence Images for Diagnosis of Diabetic Vasculopathy.” Journal of Biomedical Optics 21, no. 4 (April 12, 2016): 046003.
Version
Final published version
Abstract
Indocyanine green (ICG) fluorescence imaging has been clinically used for noninvasive visualizations of vascular structures. We have previously developed a diagnostic system based on dynamic ICG fluorescence imaging for sensitive detection of vascular disorders. However, because high-dimensional raw data were used, the analysis of the ICG dynamics proved difficult. We used principal component analysis (PCA) in this study to extract important elements without significant loss of information. We examined ICG spatiotemporal profiles and identified critical features related to vascular disorders. PCA time courses of the first three components showed a distinct pattern in diabetic patients. Among the major components, the second principal component (PC2) represented arterial-like features. The explained variance of PC2 in diabetic patients was significantly lower than in normal controls. To visualize the spatial pattern of PCs, pixels were mapped with red, green, and blue channels. The PC2 score showed an inverse pattern between normal controls and diabetic patients. We propose that PC2 can be used as a representative bioimaging marker for the screening of vascular diseases. It may also be useful in simple extractions of arterial-like features.
MIT Department
Institute for Medical Engineering and Science
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Article is made available in accordance with the publisher's policy and may be subject to US copyright law. Please refer to the publisher's site for terms of use.
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DOI of Published Version
https://doi.org/10.1117/1.jbo.21.4.046003
