A multi-angle plane wave imaging approach for high frequency 2D flow visualization in small animals: simulation study in the murine arterial system

To preclinically investigate the role of hemodynamics in atherogenesis, mouse models are particularly useful due to the rapid disease development. As such, murine blood flow visualization has become an important tool, with current US systems equipped with traditional 1D flow imaging techniques, lacking spatial and/or temporal resolution to accurately resolve in-vivo flow fields. Hence, we investigated multi-angle plane wave imaging for ultrafast, 2D vector flow visualization and compared this approach with conventional pulsed Doppler in the setting of a mouse aorta with abdominal aortic aneurysm. For this purpose, we used a multiphysics model which allowed direct comparison of synthetic US images with the true flow field behind the image. In case of the abdominal aorta, we showed the mean flow estimation improved 9 % when using 2D vector Doppler compared to conventional Doppler, but still underestimated the true flow because the full spatial velocity distribution remained unknown. We also evaluated a more challenging measurement location, the mesenteric artery (aortic side branch), often assessed in a short-axis view close to the origin of the branch to avoid the smaller dimensions downstream. Even so, complex out-ofplane flow dynamics hampered a reliable flow assessment for both techniques. Hence, both cases illustrated the need for 3D vascular imaging, allowing acquisition of the full 3D spatial velocity profile

Development of a real-time high-resolution 3D ultrasound imaging system

In this work a real-time high-resolution 3D ultrasound imaging system is developed, allowing the 3D acquisition and imaging of high-resolution ultrasound data for biomedical applications. The system uses ultrasound transducers in the ranges of 30 to 100 MHz, and allows full access of the radiofrequency (RF) ultrasound data for the 3D image reconstruction. This work includes the development of two graphical user interfaces in C++ to interact with a high-resolution ultrasound system and to image the high-resolution ultrasound data. In addition, a methodology is described and implemented in the system for 3D ultrasound reconstruction and visualization. The development of these GUIs allows easy 3D high-resolution ultrasound acquisition and imaging to any user with basic knowledge in ultrasound and with only minimal and faster training in the system and the GUIs. This capability opens the system to any researcher or person interested in performing experimentations with high-resolution ultrasound.;The high-resolution 3D ultrasound imaging system is tested to assess atherosclerosis using different mouse models. To assess atherosclerosis, a series of in vitro studies are performed to 3D scan vessels of mouse aortas and carotids vessels with atherosclerosis, as well as mouse hearts with atherosclerosis. The apolipoprotein E-knockout (APOE) and the apolipoprotein E-A1 adenosine receptor double knockout (DKO) mice model with their wild type control (C57) are used. Three-dimensional reconstructions were rendered showing good matches with the samples morphology. In addition, 3D sections of the data are reconstructed showing atherosclerotic plaque in the samples. The 3D ultrasound reconstruction allows for us to analyze a sample from outside and inside by rotating around any angle and cropping non-relevant data, allowing us to observe shape and appearance of the 3D structures. Finally, after reconstructing and analyzing the 3D ultrasound images, a 3D quantitative assessment of atherosclerotic plaque is performed. After analyzing the samples, the plaque lesions of DKO mouse model exhibits smaller areas than those of the APOE mouse model. Additionally, the C57 mouse model is clean of any atherosclerosis. These findings are in agreement with a previous study of our group for these mouse models

Assessment of visual quality and spatial accuracy of fast anisotropic diffusion and scan conversion algorithms for real-time three-dimensional spherical ultrasound

Three-dimensional ultrasound machines based on matrix phased-array transducers are gaining predominance for real-time dynamic screening in cardiac and obstetric practice. These transducers array acquire three-dimensional data in spherical coordinates along lines tiled in azimuth and elevation angles at incremental depth. This study aims at evaluating fast filtering and scan conversion algorithms applied in the spherical domain prior to visualization into Cartesian coordinates for visual quality and spatial measurement accuracy. Fast 3d scan conversion algorithms were implemented and with different order interpolation kernels. Downsizing and smoothing of sampling artifacts were integrated in the scan conversion process. In addition, a denoising scheme for spherical coordinate data with 3d anisotropic diffusion was implemented and applied prior to scan conversion to improve image quality. Reconstruction results under different parameter settings, such as different interpolation kernels, scaling factor, smoothing options, and denoising, are reported. Image quality was evaluated on several data sets via visual inspections and measurements of cylinder objects dimensions. Error measurements of the cylinder's radius, reported in this paper, show that the proposed fast scan conversion algorithm can correctly reconstruct three-dimensional ultrasound in Cartesian coordinates under tuned parameter settings. Denoising via three-dimensional anisotropic diffusion was able to greatly improve the quality of resampled data without affecting the accuracy of spatial information after the modification of the introduction of a variable gradient threshold parameter