Morris, Paul D.
Silva Soto, Daniel Alejandro
Feher, Jeroen F.A.
Rafiroiu, Dan
Lungu, Angela
Varma, Susheel
Lawford, Patricia V.
Hose, D. Rodney
Gunn, Julian P.
Figure 3: Models for Computing vFFR
The imaging and pressure input data for both novel models are those collected during routine coronary angiography (image data in <b>yellow</b> and aortic pressure data in <b>green</b>). The parameters of CMV physiology must be estimated <b>(red)</b>. The type of simulation used to calculate vFFR values are shown in the <b>blue boxes</b>. vFFRps-trns is a function of 9 parameters, whereas vFFRsteady is a function of 4. Pseudotransient flow can be reconstructed using a 1D flow model representing the 3D vessel geometry coupled to the 0-dimensional Windkessel model. C = compliance; CMV = coronary microvasculature; R = resistance; vFFR = virtual fractional flow reserve; Z = impedance.
computational fluid dynamics;coronary artery disease;coronary microvascular physiology;coronary modelling;coronary physiology;fractional flow reserve;virtual fractional flow reserve
2019-06-11
https://multimedia.onlinejacc.org/articles/Figure_3_Models_for_Computing_vFFR/8254640

10.25407/JACBTS.8254640.v1