Zahra Khalajzeyqami et al. Pivotal role of micro-CT technology in setting up an optimized lung fibrosis mouse model for drug screening Plos ONE.
June 15, 2022
How Analyze was Used
“The 3D reconstructed datasets in the expiration phase of the breathing cycle were analysed by the Perkin Elmer Analyze software (Analyze 12.0). A semi-automatic segmentation was used to define airways and aerated lungs, whereas manual segmentation was performed in animals with very low- or non-aerated areas to obtain the total lung volume map. The images were rescaled from grey levels to Hounsfield Units (HU) through the linear transformation model (-1000 HU as the density of air and 0 HU as the density of water). Pre-clinical HU density ranges were applied to the lungs map to divide the parenchyma into normo-aerated [-860 HU; -435 HU], hypo-aerated [-435 HU; -121 HU] and non-aerated regions [-121 HU; 121 HU]. The volume of each compartment was normalized and expressed in the percentage of total lung volume for all CT scans.”
Fibrosis, Mouse models, Drug screening, Pulmonary imaging, Histology, Pulmonary fibrosis, Body weight, Inflammation
University of Bologna, Bologna, Italy