Hemolysis estimation in a centrifugal blood pump using a tensor-based measure.

Area of Science:

• Biomedical Engineering
• Computational Fluid Dynamics
• Medical Device Development

Background:

• Hemolysis, or red blood cell damage, is a critical concern in blood pump design.
• Accurate prediction of hemolysis is essential for developing safe and effective blood pumps.
• Existing models may not fully capture the complex biomechanics leading to blood damage.

Purpose of the Study:

• To numerically predict hemolysis in the GYRO centrifugal blood pump.
• To compare a novel tensor-based blood-damage model with a traditional model.
• To validate numerical predictions against experimental hemolysis data.

Main Methods:

• Simulation of three operating conditions using a finite element-based flow solver.
• Novel pathline tracing in time-varying flow within a complex domain.
• Calculation of accumulated hemolysis along pathlines and conversion to clinical units.

Main Results:

• The tensor-based blood-damage model showed excellent agreement with experimental hemolysis data.
• The traditional model significantly overpredicted hemolysis.
• Predicted hemolysis levels were within clinically accepted ranges for typical operating conditions.

Conclusions:

• The tensor-based model's accuracy is attributed to its incorporation of blood-specific physical properties.
• This model offers a more reliable approach for predicting blood damage in centrifugal blood pumps.
• The GYRO blood pump shows promising performance with hemolysis levels suitable for clinical use.