Phase Aberration Correction with Adaptive Coherence-Weighted Point Spread Function Restoration Filtering Technique

2023/08/28 by Wei-Hsiang Shen, Shen, Wei-Hsiang, Pai‐Chi Li +4
Engineering · Medicine · #FOS: Electrical engineering #Photoacoustic and Ultrasonic Imaging #Signal Processing (eess.SP) #Ultrasound Imaging and Elastography #Ultrasound and Hyperthermia Applications #electronic engineering #information engineering

paper · pdf · doi:10.48550/arxiv.2308.14427

openalex publication_date 2023/08/28 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

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.

Related

• Ultrasound Phase Aberrated Point Spread Function Estimation with Convolutional Neural Network: Simulation Study
• Phase Aberration Correction without Reference Data: An Adaptive Mixed Loss Deep Learning Approach
• PHOCUS: Physics-Based Deconvolution for Ultrasound Resolution Enhancement
• Ultrasound Autofocusing: Common Midpoint Phase Error Optimization via Differentiable Beamforming
• Deconstruction and reconstruction of image-degrading effects in the\n human abdomen using Fullwave: phase aberration, multiple reverberation, and\n trailing reverberation