Three-dimensional textural and volumetric image analysis holds great potential in understanding the image data produced by multi-photon microscopy. In this thesis, a tool that provides quantitative textural and morphometric analyzes of vasculature in engineered tissues, alongside with a fast three-dimensional volume rendering is proposed. The investigated 3D artificial tissues consist of Human Umbilical Vein Endothelial Cells (HUVEC) embedded in collagen exposed to two regimes of ultrasound standing wave fields under different pressure conditions. Textural features were evaluated over the extracted connected region in our samples using the normalized Gray Level Co-occurrence Matrix (GLCM) combined with Gray-Level Run Length Matrix (GLRLM) analysis. To minimize the error resulting from any possible volumetric rotation and to provide a comprehensive textural analysis, an averaged version of nine GLCM and GLRLM orientations is used. To evaluate volumetric features, parameters such as volume run length and percentage volume were utilized. The z-projection versions of the samples were used to estimate the tortuosity of the vessels, as well as, to measure the length and the angle of the branches. We utilized a three-dimensional volume rendering technique named MATVTK (derived from MATLAB and VTK) and runs under MATLAB that shows a great improvement on the processing time to reconstruct our volumes compared to MATLAB built-in functions. Results show that our analysis is able to differentiate among the exposed samples, due to morphological changes induced by the ultrasound standing wave fields. Furthermore, we demonstrate that providing more textural parameters than what is currently being reported in the literature, enhances the quantitative understanding of the heterogeneity of artificial tissues.
Library of Congress Subject Headings
Tissue engineering--Data processing; Biomedical materials--Data processing; Blood-vessels--Mechanical properties
Department, Program, or Center
Chester F. Carlson Center for Imaging Science (COS)
Yousefhussien, Mohammed, "Three-dimensional quantification and visualization of vascular networks in engineered tissues" (2012). Thesis. Rochester Institute of Technology. Accessed from
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