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In vitro Assessment of Aortic Regurgitation Using Four-Dimensional Flow Magnetic Resonance Imaging
Published on: February 25, 2022
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4D flow MRI enhances prototype testing of a total artificial heart
Twan Bakker1,2, Azad Najar1,2,3, Thomas Finocchiaro3
1Department of Health, Medicine and Caring Sciences, Linköping University, Linköping, Sweden.
Scientific Reports
|September 15, 2025
Summary
This study shows 4D flow MRI can assess blood flow in 3D-printed total artificial hearts (TAHs). This technology helps improve TAH design by analyzing flow dynamics and energy loss, similar to healthy hearts.
Area of Science:
- Biomedical Engineering
- Cardiovascular Research
- Medical Imaging
Background:
- Donor heart shortages necessitate advanced Total Artificial Hearts (TAHs).
- Existing TAHs face complications from suboptimal blood flow dynamics.
- Assessing TAH flow dynamics is technically challenging.
Purpose of the Study:
- To evaluate 4D flow MRI for assessing blood flow in a pulsatile TAH.
- To investigate the feasibility of using 3D printing for MRI-compatible TAH prototypes.
- To analyze flow patterns and energy loss in a TAH under various physiological conditions.
Main Methods:
- A prototype pulsatile TAH was modified using 3D printing (powder bed fusion and fused filament fabrication) for MRI compatibility.
- The TAH was integrated into an MRI-compatible mock circulatory loop, allowing testing at 80, 105, and 120 bpm.
- 4D flow MRI with dual velocity encoding was employed to capture detailed flow dynamics and turbulent kinetic energy.
Main Results:
- 4D flow MRI accurately measured flow patterns and turbulent kinetic energy in the TAH.
- Stasis and viscous energy loss were comparable to healthy native hearts.
- Elevated turbulent kinetic energy was observed but remained below levels seen in valvular disease patients.
Conclusions:
- 4D flow MRI is a feasible tool for assessing TAH hemodynamics.
- Combining 4D flow MRI with 3D printing enables rapid TAH design iteration.
- This approach can help mitigate TAH-related complications by optimizing flow dynamics.

