First author | Year | Geometry | Imaging technique | CFD methodb | Phasec | Validation resultsd | CFD Solver | |||
---|---|---|---|---|---|---|---|---|---|---|
Conditiona | Type | Number of case studies | ||||||||
Normal | Patient | |||||||||
Doost  [18] | 2016 | Normal | 3D | 1 | – | MRI | GP | FCC | N/A | ANSYS-fluent |
Su [19] | 2016 | Normal and PAH | 3D | 1 | 1 | MRI | GP | FCC | N/A | ANSYS-fluent |
Nguyen[20] | 2015 | Normal person and patients with diastolic dysfunction | 3D | 4 | 2 | MRI | GP | FCC | Blood flow pattern is qualitatively validated using echocardiography PIV | In-house CFD solver |
Muehlhausen [21] | 2015 | Normal | 3D | 1 | – | MRI | GP | FCC | N/A | Coupled fluent, MpCCI, and Abaqus |
Su [22] | 2014 | HCM | 3D | 1 | 1 | MRI | GP | FCC | N/A | ANSYS-fluent 14 |
Su [23] | 2014 | Normal | 2D | 1 | – | MRI | GP | FCC | N/A | ANSYS-fluent 14 |
Khalafvand [13] | 2014 | Before and after SVR and normal | 3D | 1 | 2 | MRI | GP | FCC | N/A | ANSYS-fluent 12 |
Moosavi [2] | 2014 | Normal | 3D | 1 | – | MRI | GP | FCC | N/A | ADINA v8.6 |
Seo [12] | 2014 | Normal | 3D | 1 | – | CT scan | GP | FCC | N/A | N/A |
Chnafa [14] | 2014 | Not specified | 3D | 1 | – | MRI | GP,LES | FCC | N/A | YALES2BIO |
Corsini [16] | 2014 | SV | 3D | 1 | – | MRI | Multi-scale | FCC | The flow obtained from the multi-scale analysis is validated using the clinical MR and echo-Doppler data | Simnon |
Vecchi [24] | 2014 | Normal and HLHS | 3D | 1 | 1 | ECG | GP | FP | N/A | CHeart |
Seo [25] | 2013 | Normal | 3D | 1 | – | CT scan | GP | FCC | N/A | N/A |
Mangual [7] | 2013 | DCM and Normal | 3D | 20 | 8 | ECG | IBM | FCC | N/A | N/A |
Vecchi [26] | 2013 | HLHS | 3D | 1 | 2 | MRI | GP | FP | Myocardial shape parameters is validated using dual phase MRI | N/A |
Nguyen [27] | 2013 | Normal | 3D | 1 | – | MRI | GP | FCC | N/A | N/A |
Le [28] | 2013 | Normal | 3D | 1 | – | MRI | IBM | FP | N/A | FSI-CURVIB flow solver |
Dahl [29] | 2012 | Normal | 2D | 1 | – | Ultrasound | GP | FP | N/A | ANSYS-fluent 6.3.26 |
Lassila [30] | 2012 | Mild mitral regurgitation, MI and stroke | 3D | – | 1 | MRI | GP, Multi-scale | FCC | The flow rate and pressure obtained from the multi-scale analysis are validated using a closed loop hydraulic system | Open-source LifeV code |
Khalafvand [17] | 2012 | MI | 2D | 3 | 3 | MRI | GP | FCC | N/A | ANSYS-CFX12 |
Khalafvand [31] | 2012 | Before and after SVR | 3D | – | 1 | MRI | GP | FCC | N/A | ANSYS-CFX12 |
Le [32] | 2012 | Normal | 3D | – | 1 | MRI | IBM | FCC | N/A | FSI-CURVIB flow solver |
Mihalef [33] | 2011 | Normal | 3D | 1 | – | CT scan | GP | FCC | N/A | N/A |
Krittian [34] | 2010 | Normal | 3D | 1 | – | MRI | GP, coupled-FSI | FCC | The flow pattern predicted by CFD simulation is qualitatively validated using a circulatory system | Coupled fluent, MpCCI, and Abaqus |
Doenst [35] | 2009 | Before and after SVR | 3D | – | 1 | MRI | GP | FCC | The flow pattern predicted by CFD simulation is qualitatively validated using a circulatory system | Coupled Fluent, MpCCI, and Abaqus |
Schenkel [36] | 2009 | Normal | 3D | 1 | – | MRI | GP | FCC | The flow pattern predicted by CFD simulation is qualitatively validated using MRI velocity mapping | Star-CD |
Long [8] | 2007 | Normal | 3D | 6 | – | MRI | GP | FCC | The flow pattern predicted by CFD simulation is qualitatively validated using MRI velocity mapping | ANSYS-CFX4 |
Liang [37] | 2007 | LHF and normal | 3D | 1 | 1 | N/A | GP, Multi-scale | FCC | The flow obtained from multi-scale analysis is validated using echo-Doppler data | In-house CÂ ++Â code |
Long [38] | 2003 | Normal | 3D | 1 | – | MRI | GP | FCC | N/A | ANSYS-CFX4 |
Saber [39] | 2001 | Normal | 3D | 1 | – | MRI | GP | FCC | N/A | STAR–CD |
Saber [40] | 2001 | Normal | 3D | 1 | – | MRI | GP | FCC | N/A | STAR–CD |