📝 SummarXiv

Abstract

Ultrafast power Doppler imaging (uPDI) has made significant progress and become an important imaging method for both research and clinical implementations. While, it lacks simulation tools that can perform three-dimensional (3D) quantitative flow with tissue motion close to realistic conditions. In this study, we explore to construct an open-source framework, named 3D-Fully Quantitative Flow (3D-FQFlow), to provide quantitative modeling of 3D vascular flow with tissue motion and uPDI imaging. The framework integrates a L-system-based vascular generator with SimVascular CFD for hemodynamics, a tissue motion simulator supporting user-defined or clinical-data-driven condition, an optimized PFILED ultrasound simulator, a precomputed-matrix-based reconstructor, and a quantitative analyzer (MSE/PSNR/SSIM). Results demonstrate distinct influences of four motion patterns on SVD decomposition; successful 3D imaging of rabbit kidney (SSIM = 0.951), generated vasculature (SSIM = 0.902), and clinical pulmonary arteries (SSIM = 0.850); and GPU acceleration permitting 1-million-scatterer simulation in 4,117 seconds with 18.8* speedup for 100-frame 3D-uPDI generation. 3D-FQFlow establishes the first open-source framework for quantitative validation of uPDI under realistic vascular and motion conditions, creating a reproducible standard for microvascular imaging research (https://github.com/FortuneOU/3D-FQFlow).