UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation

arXiv:2403.06275v1 Announce Type: cross
Abstract: Nakagami imaging holds promise for visualizing and quantifying tissue scattering in ultrasound waves, with potential applications in tumor diagnosis and fat fraction estimation which are challenging to discern by conventional ultrasound B-mode images. Existing methods struggle with optimal window size selection and suffer from estimator instability, leading to degraded resolution images. To address this, here we propose a novel method called UNICORN (Ultrasound Nakagami Imaging via Score Matching and Adaptation), that offers an accurate, closed-form …

abstract applications arxiv cs.ai cs.cv cs.lg diagnosis images imaging physics.med-ph struggle type unicorn via