MVis-Fold: A Three-Dimensional Microvascular Structure Inference Model for Super-Resolution Ultrasound

TL;DR

MVis-Fold is a novel 3D microvascular reconstruction model that enhances super-resolution ultrasound imaging, enabling detailed 3D microvasculature analysis from 2D images for improved disease diagnosis.

Contribution

The paper introduces MVis-Fold, a new cross-scale network architecture for high-fidelity 3D microvascular reconstruction from 2D SRUS images.

Findings

Validated accuracy in tumor microvascular reconstruction

Enabled precise 3D parameter calculation

Facilitated quantitative microvasculature analysis

Abstract

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.