Hyperspectral characterization of atherosclerotic plaques

Lise L. Randeberg; Eivind L. P. Larsen; Astrid Aksnes; Olav A. Haugen; Lars O. Svaasand

doi:10.1117/12.831624

7 July 2009 Hyperspectral characterization of atherosclerotic plaques

Lise L. Randeberg, Eivind L. P. Larsen, Astrid Aksnes, Olav A. Haugen, Lars O. Svaasand

Proceedings Volume 7368, Clinical and Biomedical Spectroscopy; 736808 (2009) https://doi.org/10.1117/12.831624
Event: European Conferences on Biomedical Optics, 2009, Munich, Germany

Abstract

Imaging modalities like hyperspectral imaging create large amounts of data. Time efficient, automated analytic techniques are therefore required to enjoy the power of such methods. In this study it was investigated if hyperspectral imaging followed by automated noise filtering and statistical image analysis is a suitable method for characterization of the macroscopic structure of atherosclerotic lesions. Ten human aorta samples (6×8 cm) were collected during autopsy. Hyperspectral white light and fluorescence images and 5 - 6 biopsies were collected from each sample. The biopsies were stained (HES, Sudan red), and grouped according to histology. All images were noise filtered and normalized. Fluorescence spectra were collected from all biopsied regions, and used to compute average spectra for each histological group. Supervised classification was performed using Spectral angle mapping (SAM) with the average spectra as endmembers. K-means- and ISO-data clustering was used for unsupervised classification. The results show that noise filtering and normalization is essential for reliable classification. Supervised classification was in general found to perform better than unsupervised classification. However, the SAM results strongly depend on the variation in the spectra used to compute the average endmember spectra. The analysis show that fatty deposits, calcifications, connective tissue and hemoglobin can be identified. The lesions were found to have a complex structure where vulnerable regions could be found next to stabile regions within the same lesion. In conclusion hyperspectral imaging, automated filtering and -analysis was found to be a suitable tool to classify advanced atherosclerotic lesions.

Citation Download Citation

Lise L. Randeberg, Eivind L. P. Larsen, Astrid Aksnes, Olav A. Haugen, and Lars O. Svaasand "Hyperspectral characterization of atherosclerotic plaques", Proc. SPIE 7368, Clinical and Biomedical Spectroscopy, 736808 (7 July 2009); https://doi.org/10.1117/12.831624

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available