SYSTEMS AND METHODS FOR ESTIMATING BLOOD FLOW PROPERTIES BASED ON VASCULAR GEOMETRY AND PHYSIOLOGY
DE602013087546T2Active Publication Date: 2026-06-03HEARTFLOW INC MOUNTAIN VIEW
Patent Information
- Authority / Receiving Office
- DE · DE
- Patent Type
- Patents
- Current Assignee / Owner
- HEARTFLOW INC MOUNTAIN VIEW
- Filing Date
- 2013-08-30
- Publication Date
- 2026-06-03
AI Technical Summary
Technical Problem
Invasive methods for measuring blood flow characteristics, such as invasive catheterizations, pose significant risks and costs, while noninvasive simulations based on computational fluid dynamics (CFD) are computationally burdensome and difficult to execute in real-time clinical environments.
Method used
Employing machine learning techniques to predict blood flow characteristics by modeling fractional flow reserve (FFR) as a function of vascular cross-sectional area and boundary conditions, using patient-specific geometry and physiology, thereby reducing computational intensity.
Benefits of technology
Provides rapid, noninvasive estimation of blood flow characteristics with high fidelity, minimizing computational requirements and patient risk, and reducing healthcare costs.
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