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Statements

Subject Item
n2:RIV%2F00216305%3A26210%2F13%3APU105392%21RIV14-GA0-26210___
rdf:type
skos:Concept n10:Vysledek
dcterms:description
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' 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'
dcterms:title
Automatic Identification and Validation of Planar Collagen Organization in the Aorta Wall with Application to Abdominal Aortic Aneurysm Automatic Identification and Validation of Planar Collagen Organization in the Aorta Wall with Application to Abdominal Aortic Aneurysm
skos:prefLabel
Automatic Identification and Validation of Planar Collagen Organization in the Aorta Wall with Application to Abdominal Aortic Aneurysm Automatic Identification and Validation of Planar Collagen Organization in the Aorta Wall with Application to Abdominal Aortic Aneurysm
skos:notation
RIV/00216305:26210/13:PU105392!RIV14-GA0-26210___
n10:predkladatel
n11:orjk%3A26210
n3:aktivita
n17:I n17:P
n3:aktivity
I, P(ED0002/01/01), P(EE2.3.30.0039), P(GA13-16304S)
n3:cisloPeriodika
6
n3:dodaniDat
n9:2014
n3:domaciTvurceVysledku
n8:5506476 n8:6775802 n8:1800612
n3:druhVysledku
n18:J
n3:duvernostUdaju
n14:S
n3:entitaPredkladatele
n7:predkladatel
n3:idSjednocenehoVysledku
62611
n3:idVysledku
RIV/00216305:26210/13:PU105392
n3:jazykVysledku
n20:eng
n3:klicovaSlova
fast Fourier Tranform, collagen organization, collagen dispersion, polarized light microscopy
n3:klicoveSlovo
n15:fast%20Fourier%20Tranform n15:collagen%20dispersion n15:collagen%20organization n15:polarized%20light%20microscopy
n3:kodStatuVydavatele
US - Spojené státy americké
n3:kontrolniKodProRIV
[3B1394BD99F7]
n3:nazevZdroje
MICROSCOPY AND MICROANALYSIS
n3:obor
n6:BO
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
8
n3:projekt
n12:GA13-16304S n12:ED0002%2F01%2F01 n12:EE2.3.30.0039
n3:rokUplatneniVysledku
n9:2013
n3:svazekPeriodika
19
n3:tvurceVysledku
Druckmüllerová, Hana Vlachovský, Robert Polzer, Stanislav Tichý, Michal Staffa, Robert Gasser, Thomas Christian Forsell, Caroline Burša, Jiří
s:issn
1431-9276
s:numberOfPages
10
n16:doi
10.1017/s1431927613013251
n19:organizacniJednotka
26210