用二维超声图重建三维微血管，提升肿瘤诊断精度。
MVis-Fold: A Three-Dimensional Microvascular Structure Inference Model for Super-Resolution Ultrasound
- 设计跨尺度网络，从二维超声图还原三维微血管结构。
- 可精确计算传统二维无法获取的三维关键参数。
- 适用于肿瘤等疾病微血管定量分析，临床价值高。
超分辨率超声（SRUS）技术突破了传统超声的分辨率限制，实现了微米级微血管成像。然而，受成像原理制约，从SRUS实现微血管三维重建仍是开放性挑战。我们提出微血管可视化折叠模型（MVis-Fold），一种创新的三维微血管重建模型，融合跨尺度网络架构，能够从二维SRUS图像高保真地推断和重构三维微血管网络。该模型可精确计算传统二维SRUS难以获取的三维空间关键参数。我们在实体瘤的三维微血管重建中验证了模型的准确性和可靠性。本研究为微血管三维定量分析奠定基础，为多种疾病的诊断与监测提供新工具与方法。
原文摘要 · Abstract (English)
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.
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