A Novel Demography-Based Approach to Define Patient-Specific Outflow Boundary Conditions in CT-Based FFR Computations
The proposed demography-based MFR model significantly improves FFR computation accuracy compared with a typical conventional model that assumes constant, healthy and population average MFR. Although its diagnostic accuracy is slightly lower than that of CT-FFR calibrated with patient-specific perfusion imaging data (91 vs. 100%), the demography-based model offers a substantial practical advantage by not requiring additional non-standard data acquisition, such as perfusion imaging. Consequently, it shows strong potential as a practical enhancement to conventional CT-FFR algorithms.
Authors
- Ernest W. C. Lo
- Leon Paixão Menezes
- Ryo Torii
- Francesca Pugliese
Institutions
- Queen Mary University of London (GB)
- Barts Health NHS Trust (GB)
- Torrington Hospital (GB)
- UCL Biomedical Research Centre (GB)
- William Harvey Research Institute (GB)
- University College London (GB)
Publication Details
- Journal
- Annals of Biomedical Engineering
- Published
- 2026-03-03
- DOI
- https://doi.org/10.1007/s10439-026-04002-2
- Primary Topic
- Advanced MRI Techniques and Applications
- Type
- article
- Field-Weighted Citation Impact
- 0.00