An unsupervised physics-informed neural deconvolution framework for ultrasound imaging
Objective. Point spread function (PSF) and clutter noise are primary causes of ultrasound quality degradation. Physical deconvolution can reduce PSF effects but is sensitive to high-frequency noise, whereas deep learning often requires large labeled datasets and may introduce non-physical artifacts. Therefore, this stu...