GLUS: Guidance Loss Driven Plug-and-Play Diffusion for Ultrasound Image Super-Resolution

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Authors: X.Y. Le, Denis Kouamé, Duong-Hung Pham
Cited by: 0
References: 16

Abstract

This paper introduces GLUS, a novel training-free plug-and-play framework for ultrasound (US) super-resolution. GLUS extends the residual plug-and-play paradigm by incorporating a tailored guidance energy function to capture the domain-specific characteristics of US data. The proposed framework operates without the need for pre-training, offering a practical and efficient solution for enhancing US image resolution. Experiments on both simulated and in vivo data show that GLUS consistently outperforms existing benchmarks, achieving superior quantitative and qualitative results.

Fields of Study & Subjects

Advanced Image Processing Techniques Ultrasound Imaging and Elastography Ultrasound and Hyperthermia Applications

Publication details

Journal / source
2026 IEEE 23rd International Symposium on Biomedical Imaging (ISBI)
Publisher
IEEE
Pages
1–4
Publication date
8 April 2026
Language
EN