  Phase aberration is an inherent side effect of ultrasound imaging due to the
speed of sound inhomogeneity nature of human tissues, resulting in focusing
error and reduced image contrast. This work introduces a phase aberration
correction technique by leveraging a point spread function (PSF) restoration
filter. A convolutional neural network (CNN) is used to estimate
phase-aberrated PSFs and design the restoration filter. In addition, we
incorporate coherence index weighting, derived from the restoration filtering,
to further suppress sidelobe energy. Evaluation using Field II-simulated
phantoms showed clearer cyst borders and reduced sidelobe energy leakage after
PSF restoration and filter-derived coherence weighting, leading to improvement
in image contrast and quality.
