{"ID":2874358,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_url":"https://arxiv.org/abs/2509.05464","arxiv_id":"2509.05464","title":"Developing an Open-Source Framework for Quantitative Simulation of Blood Flow and Tissue Motion for Ultrafast Doppler Ultrasound","abstract":"Ultrafast power Doppler imaging (uPDI) has become a powerful tool for both research and clinical applications. However, existing simulation tools are insufficient for generating quantitatively accurate three-dimensional (3D) flow fields with tissue motion mimicking in vivo conditions. In this study, we present an open-source framework, named 3D-Fully Quantitative Flow (3D-FQFlow), to provide quantitative modeling of 3D vascular hemodynamics with physiologically realistic tissue motion for uPDI. The framework can perform quantitative modeling of both hemodynamics and tissue motion for either user-defined or clinical-derived vasculatures. Besides, it also integrates a GPU-accelerated image processing and reconstruction module. We demonstrate the performance of 3D-FQFlow using both synthetic vascular structures and clinical datasets. This framework could provide essential ground-truth simulation models to support the development, validation, and benchmarking of uPDI techniques. The source code is freely available online athttps://github.com/FortuneOU/3D-FQFlow.","short_abstract":"Ultrafast power Doppler imaging (uPDI) has become a powerful tool for both research and clinical applications. However, existing simulation tools are insufficient for generating quantitatively accurate three-dimensional (3D) flow fields with tissue motion mimicking in vivo conditions. In this study, we present an open-...","url_abs":"https://arxiv.org/abs/2509.05464","url_pdf":"https://arxiv.org/pdf/2509.05464v3","authors":"[\"Qiang Fu\",\"Changhui Li\"]","published":"2025-09-05T19:39:25Z","proceeding":"eess.SP","tasks":"[\"eess.SP\"]","methods":"[]","has_code":false,"code_links":[{"ID":610133,"CreatedAt":"2026-06-01T04:54:23.091178241Z","UpdatedAt":"2026-06-01T04:54:23.091178241Z","DeletedAt":null,"paper_id":2874358,"paper_url":"https://arxiv.org/abs/2509.05464","paper_title":"Developing an Open-Source Framework for Quantitative Simulation of Blood Flow and Tissue Motion for Ultrafast Doppler Ultrasound","repo_url":"https://github.com/FortuneOU/3D-FQFlow","is_official":false,"mentioned_in_paper":false,"mentioned_in_github":true,"github_stars":0}]}