Heart Boundary Condition Optimization for FFR

The patent introduces computational fluid dynamics modeling as an intermediary between conventional angiography and functional assessment. The system uses anatomical data from CCA as input, processes it through physics-based blood flow simulations with optimized boundary conditions, and produces functional significance metrics (FFR, dFFR) that bridge the gap between anatomical imaging and physiological function.

The patent replaces the mechanical/invasive pressure wire measurement system with a computational physics-based model. Instead of physically inserting catheters and pressure wires into coronary arteries, the system uses numerical simulations of blood flow dynamics based on anatomical geometry, substituting mechanical measurement with computational analysis while achieving the same functional assessment goal.

The patent creates a virtual copy of the coronary vasculature through 3D modeling from anatomical data. This digital replica allows for repeated, cost-free simulations to assess functional significance under various conditions without requiring additional invasive procedures. The computational model serves as a copy that can be analyzed multiple times without risking patient safety or incurring procedural costs.

The patent performs preliminary computational analysis using optimized boundary conditions before making treatment decisions. By pre-calculating functional significance metrics from anatomical data alone, the system eliminates the need for routine invasive FFR measurements, performing the diagnostic function in advance through simulation rather than through subsequent invasive procedures.