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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Basic information
Original name Automatic Identification and Validation of Planar Collagen Organization in the Aorta Wall with Application to Abdominal Aortic Aneurysm
Authors POLZER, Stanislav (203 Czech Republic), Christian T. GASSER (752 Sweden), Caroline FORSELL (752 Sweden), Hana DRUCKMÜLLEROVA (203 Czech Republic), Michal TICHÝ (203 Czech Republic, belonging to the institution), Robert STAFFA (203 Czech Republic, belonging to the institution), Robert VLACHOVSKÝ (203 Czech Republic, guarantor, belonging to the institution) and Jiri BURSA (203 Czech Republic).
Edition MICROSCOPY AND MICROANALYSIS, New York, CAMBRIDGE UNIV PRESS, 2013, 1431-9276.
Other information
Original language English
Type of outcome Article in a journal
Field of Study 30000 3. Medical and Health Sciences
Country of publisher United States of America
Confidentiality degree is not subject to a state or trade secret
Impact factor Impact factor: 2.161
RIV identification code RIV/00216224:14110/13:00070263
Organization unit Faculty of Medicine
Doi http://dx.doi.org/10.1017/S1431927613013251
UT WoS 000330344800002
Keywords in English fast Fourier transform; collagen organization; collagen dispersion; polarized light microscopy
Tags International impact, Reviewed
Changed by Changed by: Ing. Mgr. Věra Pospíšilíková, učo 9005. Changed: 13. 4. 2014 11:51.
Abstract
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.
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