| POLZER, Stanislav, Christian T. GASSER, Caroline FORSELL, Hana DRUCKMÜLLEROVA, Michal TICHÝ, Robert STAFFA, Robert VLACHOVSKÝ and Jiri BURSA. Automatic Identification and Validation of Planar Collagen Organization in the Aorta Wall with Application to Abdominal Aortic Aneurysm. MICROSCOPY AND MICROANALYSIS. New York: CAMBRIDGE UNIV PRESS, 2013, vol. 19, No 6, p. 1395-1404. ISSN 1431-9276. doi:10.1017/S1431927613013251. |
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@article{1130934,
author = {Polzer, Stanislav and Gasser, Christian T. and Forsell, Caroline and Druckmüllerova, Hana and Tichý, Michal and Staffa, Robert and Vlachovský, Robert and Bursa, Jiri},
article_location = {New York},
article_number = {6},
doi = {http://dx.doi.org/10.1017/S1431927613013251},
keywords = {fast Fourier transform; collagen organization; collagen dispersion; polarized light microscopy},
language = {eng},
issn = {1431-9276},
journal = {MICROSCOPY AND MICROANALYSIS},
title = {Automatic Identification and Validation of Planar Collagen Organization in the Aorta Wall with Application to Abdominal Aortic Aneurysm},
volume = {19},
year = {2013}
}
TY - JOUR
ID - 1130934
AU - Polzer, Stanislav - Gasser, Christian T. - Forsell, Caroline - Druckmüllerova, Hana - Tichý, Michal - Staffa, Robert - Vlachovský, Robert - Bursa, Jiri
PY - 2013
TI - Automatic Identification and Validation of Planar Collagen Organization in the Aorta Wall with Application to Abdominal Aortic Aneurysm
JF - MICROSCOPY AND MICROANALYSIS
VL - 19
IS - 6
SP - 1395-1404
EP - 1395-1404
PB - CAMBRIDGE UNIV PRESS
SN - 14319276
KW - fast Fourier transform
KW - collagen organization
KW - collagen dispersion
KW - polarized light microscopy
N2 - Arterial physiology relies on a delicate three-dimensional (3D) organization of cells and extracellular matrix, which is remarkably altered by vascular diseases like abdominal aortic aneurysms (AAA). The ability to explore the micro-histology of the aorta wall is important in the study of vascular pathologies and in the development of vascular constitutive models, i.e., mathematical descriptions of biomechanical properties of the wall. The present study reports and validates a fast image processing sequence capable of quantifying collagen fiber organization from histological stains. Powering and re-normalizing the histogram of the classical fast Fourier transformation (FFT) is a key step in the proposed analysis sequence. This modification introduces a powering parameter w, which was calibrated to best fit the reference data obtained using classical FFT and polarized light microscopy (PLM) of stained histological slices of AAA wall samples. The values of w = 3 and 7 give the best correlation (Pearson's correlation coefficient larger than 0.7, R 2 about 0.7) with the classical FFT approach and PLM measurements. A fast and operator independent method to identify collagen organization in the arterial wall was developed and validated. This overcomes severe limitations of currently applied methods like PLM to identify collagen organization in the arterial wall.
ER -
POLZER, Stanislav, Christian T. GASSER, Caroline FORSELL, Hana DRUCKMÜLLEROVA, Michal TICHÝ, Robert STAFFA, Robert VLACHOVSKÝ and Jiri BURSA. Automatic Identification and Validation of Planar Collagen Organization in the Aorta Wall with Application to Abdominal Aortic Aneurysm. \textit{MICROSCOPY AND MICROANALYSIS}. New York: CAMBRIDGE UNIV PRESS, 2013, vol.~19, No~6, p.~1395-1404. ISSN~1431-9276. doi:10.1017/S1431927613013251.
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