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Proceedings Paper

Principal component analysis of indocyanine green fluorescence dynamics for diagnosis of vascular diseases
Author(s): Jihye Seo; Yuri An; Jungsul Lee; Chulhee Choi
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Paper Abstract

Indocyanine green (ICG), a near-infrared fluorophore, has been used in visualization of vascular structure and non-invasive diagnosis of vascular disease. Although many imaging techniques have been developed, there are still limitations in diagnosis of vascular diseases. We have recently developed a minimally invasive diagnostics system based on ICG fluorescence imaging for sensitive detection of vascular insufficiency. In this study, we used principal component analysis (PCA) to examine ICG spatiotemporal profile and to obtain pathophysiological information from ICG dynamics. Here we demonstrated that principal components of ICG dynamics in both feet showed significant differences between normal control and diabetic patients with vascula complications. We extracted the PCA time courses of the first three components and found distinct pattern in diabetic patient. We propose that PCA of ICG dynamics reveal better classification performance compared to fluorescence intensity analysis. We anticipate that specific feature of spatiotemporal ICG dynamics can be useful in diagnosis of various vascular diseases.

Paper Details

Date Published: 4 March 2015
PDF: 5 pages
Proc. SPIE 9313, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIII, 93131C (4 March 2015); doi: 10.1117/12.2076875
Show Author Affiliations
Jihye Seo, KAIST (Korea, Republic of)
Yuri An, KAIST (Korea, Republic of)
Jungsul Lee, KAIST (Korea, Republic of)
Chulhee Choi, KAIST (Korea, Republic of)


Published in SPIE Proceedings Vol. 9313:
Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIII
Anita Mahadevan-Jansen; Tuan Vo-Dinh; Warren S. Grundfest M.D.; Quan Liu, Editor(s)

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