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| Main Authors: | , |
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| Format: | Preprint |
| Published: |
2025
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2509.05464 |
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| _version_ | 1866912671519997952 |
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| author | Fu, Qiang Li, Changhui |
| author_facet | Fu, Qiang Li, Changhui |
| contents | 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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2509_05464 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Developing an Open-Source Framework for Quantitative Simulation of Blood Flow and Tissue Motion for Ultrafast Doppler Ultrasound Fu, Qiang Li, Changhui Signal Processing 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. |
| title | Developing an Open-Source Framework for Quantitative Simulation of Blood Flow and Tissue Motion for Ultrafast Doppler Ultrasound |
| topic | Signal Processing |
| url | https://arxiv.org/abs/2509.05464 |