A post-beamforming 2-D pseudoinverse filter for coarsely sampled ultrasound arrays

Adaptive beamforming in row-column addressed arrays for 3D ultrasound imaging

In recent years, to reduce the complexity of implementation, the use of 2D arrays with restricted row-column addressing has been considered for 3D ultrasound imaging. In this paper, two methods of adaptive beamforming based on the minimum variance method are represented in such a way that the computational load is much less than using the full adaptive beamforming method. In both proposed metho...

Sparse 2 D Arrays for Real - Time 3 D Ultrasound

Existing 3D ultrasound systems are based on mechanically moving 1D arrays for data collection and post-processing of data to achieve 3D images. To be able to both collect and process 3D data in real-time, a scaling of the ultrasound system from 1D to 2D arrays is necessary. A typical 2D-system uses 1D arrays with about 100 receive and transmit channels. Scaling of this system to get a 3Dsystem ...

Higher Order Primitives for Reconstruction of Coarsely Sampled Imagery

LEYBA, JASON. Higher Order Primitives for the Reconstruction of Coarsely Sampled Imagery. (Under the direction of Dr. Benjamin Watson). While computer-processing power continues to grow at rates predicted by Moore’s Law, display technologies have lingered and grown at a much slower pace. The ability to display interactive printer-resolution images will not be achievable for several years at the...

Contact Surface Computation for Coarsely Sampled Deformable Objects

We introduce a new collision response scheme that handles collisions between deformable objects with triangulated surfaces. Based on internal forces and penetration depth information, the approach computes the contact surface of interpenetrating objects. In particular, we address discontinuity problems that arise in discrete-time simulations with coarse surface representations. The approach is ...

Synthetic Aperture Beamforming in Ultrasound using Moving Arrays