title: A novel patient-specific model to compute coronary fractional flow reserve.
abstract: The fractional flow reserve (FFR) is a widely used clinical index to evaluate the functional severity of coronary stenosis. A computer simulation method based on patients' computed tomography (CT) data is a plausible non-invasive approach for computing the FFR. This method can provide a detailed solution for the stenosed coronary hemodynamics by coupling computational fluid dynamics (CFD) with the lumped parameter model (LPM) of the cardiovascular system. In this work, we have implemented a simple computational method to compute the FFR. As this method uses only coronary arteries for the CFD model and includes only the LPM of the coronary vascular system, it provides simpler boundary conditions for the coronary geometry and is computationally more efficient than existing approaches. To test the efficacy of this method, we simulated a three-dimensional straight vessel using CFD coupled with the LPM. The computed results were compared with those of the LPM. To validate this method in terms of clinically realistic geometry, a patient-specific model of stenosed coronary arteries was constructed from CT images, and the computed FFR was compared with clinically measured results. We evaluated the effect of a model aorta on the computed FFR and compared this with a model without the aorta. Computationally, the model without the aorta was more efficient than that with the aorta, reducing the CPU time required for computing a cardiac cycle to 43.4%.
authors.affiliation: Department of Mechanical and Biomedical Engineering, Kangwon National University, 192-1, Hyoja 2-dong, Chuncheon, Kangwon 200-701, Republic of Korea.
authors.forename: Soon-Sung
authors.initials: SS
authors.lastname: Kwon
authors.affiliation: Department of Mechanical and Biomedical Engineering, Kangwon National University, 192-1, Hyoja 2-dong, Chuncheon, Kangwon 200-701, Republic of Korea.
authors.forename: Eui-Chul
authors.initials: EC
authors.lastname: Chung
authors.affiliation: Department of Mechanical and Biomedical Engineering, Kangwon National University, 192-1, Hyoja 2-dong, Chuncheon, Kangwon 200-701, Republic of Korea.
authors.forename: Jin-Seo
authors.initials: JS
authors.lastname: Park
authors.affiliation: Department of Mechanical and Biomedical Engineering, Kangwon National University, 192-1, Hyoja 2-dong, Chuncheon, Kangwon 200-701, Republic of Korea.
authors.forename: Gook-Tae
authors.initials: GT
authors.lastname: Kim
authors.affiliation: Department of Mechanical and Biomedical Engineering, Kangwon National University, 192-1, Hyoja 2-dong, Chuncheon, Kangwon 200-701, Republic of Korea.
authors.forename: Jun-Woo
authors.initials: JW
authors.lastname: Kim
authors.affiliation: Department of Mechanical and Biomedical Engineering, Kangwon National University, 192-1, Hyoja 2-dong, Chuncheon, Kangwon 200-701, Republic of Korea.
authors.forename: Keun-Hong
authors.initials: KH
authors.lastname: Kim
authors.affiliation: Division of Cardiology, Department of Internal Medicine, Ulsan University Hospital, University of Ulsan College of Medicine, Ulsan, Republic of Korea.
authors.forename: Eun-Seok
authors.initials: ES
authors.lastname: Shin
authors.affiliation: Department of Mechanical and Biomedical Engineering, Kangwon National University, 192-1, Hyoja 2-dong, Chuncheon, Kangwon 200-701, Republic of Korea. Electronic address: ebshim@kangwon.ac.kr.
authors.forename: Eun Bo
authors.initials: EB
authors.lastname: Shim
mesh_terms: D001783:Blood Flow Velocity; D001794:Blood Pressure; D003198:Computer Simulation; D023921:Coronary Stenosis / Q000000981:diagnostic imaging / Q000503:physiopathology*; D003331:Coronary Vessels / Q000000981:diagnostic imaging / Q000503:physiopathology*; D006801:Humans; D008955:Models, Cardiovascular; D066230:Patient-Specific Modeling; D011859:Radiography; D015203:Reproducibility of Results; D012212:Rheology / Q000379:methods; D012680:Sensitivity and Specificity; D033081:Shear Strength; D014655:Vascular Resistance
keywords: Coronary hemodynamics; Fractional flow reserve; Numerical simulation; Patient-specific model