MVDR Beamformer Phase-Aberration Correction
This project is a collaboration between the Stanford Ultrasound Research Group at Stanford University and the Laboratorio de Imágenes Médicas at Pontificia Universidad Católica del Perú (PUCP). In this project, we aim to develop aberration correction techniques for adaptive beamforming. The minimum variance distortionless response (MVDR) beamformer, for example, is a data-dependent beamformer that can achieve superior resolution compared to conventional delay-and-sum beamforming. The optimal selection of weights for the MVDR beamformer, however, relies on the computation of the inverse of the covariance matrix of the ultrasound data. This computation becomes sensitive to distortions in the wavefront from phase aberration and reverberation clutter, reducing its effectiveness.
Collaboration: Pontifical Catholic University of Peru (PUCP)
Roberto is a Professor of Electrical and Electronics Engineering at PUCP in Lima, Peru, conducting research on medical image formation and processing, with a focus on ultrasound. He is an IEEE Senior Member, and is Associate Editor for three IEEE Transactions journals related to biomedical engineering and medical imaging.
Gustavo Chau received the B.S. degree in electronic engineering from San Martin de Porres University (Chiclayo, Peru) in 2012. He is currently a Master in Digital Signal and Image Processing student at PUCP (Lima, Peru). His research interests include beamforming, phase aberration correction, inverse problems, signal and image processing, neuroscience, and brain machine interfaces.