"Druckm\u00FCllerov\u00E1, Hana" . "62611" . "Automatic Identification and Validation of Planar Collagen Organization in the Aorta Wall with Application to Abdominal Aortic Aneurysm"@en . "Vlachovsk\u00FD, Robert" . . . "RIV/00216305:26210/13:PU105392!RIV14-GA0-26210___" . "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'" . . "Polzer, Stanislav" . . "RIV/00216305:26210/13:PU105392" . "Tich\u00FD, Michal" . "Staffa, Robert" . "Gasser, Thomas Christian" . . . . "Automatic Identification and Validation of Planar Collagen Organization in the Aorta Wall with Application to Abdominal Aortic Aneurysm" . . . "10"^^ . "Automatic Identification and Validation of Planar Collagen Organization in the Aorta Wall with Application to Abdominal Aortic Aneurysm"@en . . . "Forsell, Caroline" . "[3B1394BD99F7]" . "19" . "I, P(ED0002/01/01), P(EE2.3.30.0039), P(GA13-16304S)" . . "fast Fourier Tranform, collagen organization, collagen dispersion, polarized light microscopy"@en . "US - Spojen\u00E9 st\u00E1ty americk\u00E9" . "1431-9276" . "10.1017/s1431927613013251" . . "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'"@en . "Automatic Identification and Validation of Planar Collagen Organization in the Aorta Wall with Application to Abdominal Aortic Aneurysm" . . . . "3"^^ . "MICROSCOPY AND MICROANALYSIS" . "Bur\u0161a, Ji\u0159\u00ED" . . . . "6" . "26210" . . . . "8"^^ .