Abstract not available

The evolution of biomechanical behavior of arteries plays a key role in the onset and progression of cardiovascular disease. Biomechanical behavior is governed by the content and organization of the key structural constituents (e.g., collagen, elastin, and smooth muscle) and vessel geometry. The evolution of biomechanical behavior of arteries is governed by biologically-mediated synthesis, degradation, and reorganization of these key structural constituents. A hallmark goal in biomechanics is quantifying the relationship between the microstructure of tissues and their mechanical response throughout tissue growth and remodeling; this will provide a crucial link in understanding the tissue level effects of biological processes involved in disease and normal growth Fibulin-5 (fbln5) is an ECM protein that binds tropoelastin and interacts with integrins. Arteries from fbln5 knockout mice lack functional elastic fibers and provide a system for investigating the link between an artery's microstructure and its mechanical response. The overall goal of this project was to develop multi-scaled theoretical and experimental frameworks to quantify the relationship between microstructural content and organization and tissue level material properties of arteries from fbln5 null mice and littermate controls and to quantify the effects of fbln5 on the in vivo maturation of mouse carotid arteries. We found significant differences in the mechanical properties of carotid arteries of fbln5 null mice, and these differences were correlated with altered extracellular matrix organization. We also developed a microstructurally-motivated 3-dimensional constrained mixture model for vascular growth and remodeling. Using physiological rates of constituent growth and turnover, the model captured the salient findings found in the literature. Incorporating experimentally measured fiber angle data into constitutive relations yielded greater predictive accuracy. This dissertation incorporates experimental data quantified at the micro (microstructural-level fiber distributions) and macro (tissue-level mechanical response) scale and incorporates these data into microstructurally motivated constitutive relations. The use of structurally motivated constitutive relations and experimentally measured microstructural data provides a foundation for future work in further understanding the relationship between processes governing microstructure and the tissue level effects of disease and normal growth.

This study was aimed at determining whether the digital volume pulse waveform using the Pulse Sensor can be used to extract features related to arterial compliance. The Pulse Sensor, a low-cost photoplethysmograph, measures green light reflection in the finger and generates output, which is indicative of blood flow and can be read by the low-cost Arduino UNO™. The Pulse Sensor code was modified to increase the sampling frequency and to capture the data in a file, which is subsequently used for waveform analysis using programs written in the R system. Waveforms were obtained using the Pulse Sensor during two 30-s periods of seated rest, in each of 44 participants, who were between the ages of 20 and 80 years. For each cardiac cycle, the first four derivatives of the waveform were calculated and low-pass filtered by convolution before every differentiation step. The program was written to extract 19 features from the pulse waveform and its derivatives. These features were selected from those that have been reported to relate to the physiopathology of hemodynamics. Results indicate that subtle features of the pulse waveform can be calculated from the fourth derivative. Feature misidentification occurred in cases of saturation or low voltage and resulted in outliers; therefore, trimmed means of the features were calculated by automatically discarding the outliers. There was a high efficiency of extraction for most features. Significant relationships were found between several of the features and age, and systolic, diastolic, and mean arterial blood pressure, suggesting that these features might be employed to predict arterial compliance. Further improvements in experimental design could lead to a more detailed evaluation of the Pulse Sensor with respect to its capability to predict factors related to arterial compliance.

The mechanical behavior of the arterial wall is determined by the composition and structure of its internal constituents as well as the applied traction-forces, such as pressure and axial stretch. The purpose of this work is to develop new theoretical frameworks and experimental methodologies to further the understanding of arterial mechanics and role of the various intrinsic and extrinsic mechanically motivating factors. Specifically, residual deformation, matrix organization, and perivascular support are investigated in the context of their effects on the overall and local mechanical behavior of the artery. We propose new kinematic frameworks to determine the displacement field due to residual deformations previously unknown, which include longitudinal and shearing residual deformations. This allows for improved predictions of the local, intramural stresses of the artery. We found distinct microstructural differences between the femoral and carotid arteries from non-human primates. These arteries are functionally and mechanically different, but are geometrically and compositionally similar, thereby suggesting differences in their microstructural alignments, particularly of their collagen fibers. Finally, we quantified the mechanical constraint of perivascular support on the coronary artery by mechanically testing the artery in-situ before and after surgical exposure.

Elastography, which is based on applying pressure and estimating the resulting deformation, involves the forward problem to obtain the strain distributions and inverse problem to construct the elastic distributions consistent with the obtained strains on observation points. This thesis focuses on the former problem whose solution is used as an input to the latter problem. The aim is to provide the inverse problem community with accurate strain estimates of a coronary artery vessel wall. In doing so, a new ultrasonic image-based elastography approach is developed. Because the accuracy and quality of the estimated strain fields depend on the resolution level of the ultrasound image and to date best resolution levels obtained in the literature are not enough to clearly see all boundaries of the artery, one of the main goals is to acquire high-resolution coronary vessel wall ultrasound images at different pressures. For this purpose, first an experimental setup is designed to collect radio frequency (RF) signals, and then image formation algorithm is developed to obtain ultrasound images from the collected signals. To segment the noisy ultrasound images formed, a geodesic active contour-based segmentation algorithm with a novel stopping function that includes local phase of the image is developed. Then, region-based information is added to make the segmentation more robust to noise. Finally, elliptical deformable template is applied so that a priori information regarding the shape of the arteries could be taken into account, resulting in more stable and accurate results. The use of this template also implicitly provides boundary point correspondences from which high-resolution, size-independent, non-rigid and local strain fields of the coronary vessel wall are obtained.