UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation

• URL: http://arxiv.org/abs/2403.06275v1
• Date: Sun, 10 Mar 2024 18:05:41 GMT
• Title: UNICORN: Ultrasound Nakagami Imaging via Score Matching and Adaptation
• Authors: Kwanyoung Kim, Jaa-Yeon Lee, Jong Chul Ye
• Abstract summary: Nakagami imaging holds promise for visualizing and quantifying tissue scattering in ultrasound waves. Existing methods struggle with optimal window size selection and suffer from estimator instability. We propose a novel method called UNICORN that offers an accurate, closed-form estimator for Nakagami parameter estimation.
• Score: 59.91293113930909
• License: http://creativecommons.org/licenses/by/4.0/
• 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 estimator for Nakagami parameter estimation in terms of the score function of ultrasonic envelope. Extensive experiments using simulation and real ultrasound RF data demonstrate UNICORN's superiority over conventional approaches in accuracy and resolution quality.

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