Classification of atherosclerotic rabbit aorta samples with an infrared attenuated total reflection catheter and multivariate data analysis.

Published

Journal Article

The strongly overlapping infrared absorption features of atherosclerotic and normal rabbit aorta samples as governed by their water, lipid, and protein content render the direct evaluation of molecular characteristics obtained from infrared (IR) spectroscopic measurements challenging for classification. We have successfully applied multivariate data analysis and classification techniques based on partial least squares regression (PLS), linear discriminant analysis (LDA), and principal component regression (PCR) to IR spectroscopic data obtained by using a recently developed infrared attenuated total reflectance (IR-ATR) catheter prototype for future in vivo diagnostic applications. Training data were collected ex vivo from atherosclerotic and normal rabbit aorta samples. The successful classification results on atherosclerotic and normal aorta samples utilizing the developed data evaluation routines reveals the potential of spectroscopy combined with multivariate classification strategies for the identification of normal and atherosclerotic aorta tissue for in vitro and, in the future, in vivo applications.

Full Text

Duke Authors

Cited Authors

  • Wang, L; Chapman, J; Palmer, RA; Alter, TM; Hooper, BA; van Ramm, O; Mizaikoff, B

Published Date

  • October 2006

Published In

Volume / Issue

  • 60 / 10

Start / End Page

  • 1121 - 1126

PubMed ID

  • 17059663

Pubmed Central ID

  • 17059663

Electronic International Standard Serial Number (EISSN)

  • 1943-3530

International Standard Serial Number (ISSN)

  • 0003-7028

Digital Object Identifier (DOI)

  • 10.1366/000370206778664608

Language

  • eng