Super-resolution ultrasound (SRUS) technology has overcome the resolution limitations of conventional ultrasound, enabling micrometer-scale imaging of microvasculature. However, due to the nature of imaging principles, three-dimensional reconstruction of microvasculature from SRUS remains an open challenge. We developed microvascular visualization fold (MVis-Fold), an innovative three-dimensional microvascular reconstruction model that integrates a cross-scale network architecture. This model can perform high-fidelity inference and reconstruction of three-dimensional microvascular networks from two-dimensional SRUS images. It precisely calculates key parameters in three-dimensional space that traditional two-dimensional SRUS cannot readily obtain. We validated the model's accuracy and reliability in three-dimensional microvascular reconstruction of solid tumors. This study establishes a foundation for three-dimensional quantitative analysis of microvasculature. It provides new tools and methods for diagnosis and monitoring of various diseases.
Cite
@article{arxiv.2604.04477,
title = {MVis-Fold: A Three-Dimensional Microvascular Structure Inference Model for Super-Resolution Ultrasound},
author = {Jincao Yao and Ke Zhang and Yahan Zhou and Jiafei Shen and Jie Liu and Mudassar Ali and Bojian Feng and Jiye Chen and Jinlong Fan and Ping Liang and Dong Xu},
journal= {arXiv preprint arXiv:2604.04477},
year = {2026}
}