CT-FFR techniques
Technique | Computation flow dynamic method (CFD) | Computational time | Processing | Cost |
cFFR (Siemens) | Reduced-order algorithm and machine-learning algorithm based on synthetic lesions | 20 min | Local workstation | License |
FFRCT (HeartFlow) | Reduced-order algorithm and machine-learning algorithm for coronary segmentation | 1–4 hours | Cloud based | £530/patient |
CT-FFR (Toshiba) | Reduced-order one-dimensional fluid model | 27 min | Local workstation | License |
CT-FFR | Lumped parameter model using a vessel length–based CFD approach | 30 min | Local workstation | n/a |
Virtual Functional Assessment Index (vFAI) | CFD to derive ratio of distal to proximal pressure | 25 min | Local workstation | n/a |
There are a range of computation fluid dynamic methods that are used to derive CT-FFR from CT coronary angiography. There are varying complexities and computational processing depending on the technique.
CFD, computation fluid dynamics; CT-FFR, CT-derived fractional flow reserve; n/a, not available.