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1. Sex differences in coronary microvascular resistance measured by a computational fluid dynamics model

2. The importance of three dimensional coronary artery reconstruction accuracy when computing virtual fractional flow reserve from invasive angiography

3. Virtual (Computed) Fractional Flow Reserve: Future Role in Acute Coronary Syndromes

4. Fast Virtual Fractional Flow Reserve Based Upon Steady-State Computational Fluid Dynamics Analysis

5. Predictive Physiological Modeling of Percutaneous Coronary Intervention – Is Virtual Treatment Planning the Future?

6. Incorporating clinical parameters to improve the accuracy of angiography-derived computed fractional flow reserve

7. The Complementary Value of Absolute Coronary Flow in the Assessment of Patients with Ischaemic Heart Disease

12. The relationship between coronary stenosis morphology and fractional flow reserve: a computational fluid dynamics modelling study

16. Comparison of stenosis models for usage in the estimation of pressure gradient across aortic coarctation

17. Operator-dependent variability of angiography-derived fractional flow reserve and the implications for treatment

19. The new role of diagnostic angiography in coronary physiological assessment

23. A novel method for measuring absolute coronary blood flow and microvascular resistance in patients with ischaemic heart disease

27. The importance of three dimensional coronary artery reconstruction accuracy when computing virtual fractional flow reserve from invasive angiography

28. Personalised fractional flow reserve: a novel concept to optimise myocardial revascularisation

29. Patient-specific non-invasive estimation of pressure gradient across aortic coarctation using magnetic resonance imaging

30. 127 Response to cardiac resynchronisation therapy is associated with reduction in serum parathyroid hormone level

31. 33 Absolute coronary blood flow and microvascular resistance modelling in patients with coronary artery disease

32. The Impact of Virtual Fractional Flow Reserve and Virtual Coronary Intervention on Treatment Decisions in the Cardiac Catheter Laboratory

33. 113 Potential role of coronary physiology in treating ‘bystander’ disease in patients with ST-elevation myocardial infarction

34. Effect of side branch flow upon physiological indices in coronary artery disease

35. 17 Computational modelling of fractional flow reserve from coronary angiography: expert training required

36. 60 An atlas of computed FFR in common patterns of coronary artery disease

37. 53 Virtual (computed) FFR and Virtual Coronary Intervention (VCI) vs angiography for guiding PCI: a virtual study

38. 16 Assessing the accuracy of a novel in silico imaging tool for the 3D reconstruction of coronary vasculature in the context of virtual fractional flow reserve

39. Construction of lumped-parameter cardiovascular models using the CellML language

40. Cardiovascular models for personalised medicine: Where now and where next?

41. The impact of Objective Mathematical Analysis during Fractional Flow Reserve measurement: results from the OMA-FFR study

42. Heart failure: not a single organ disease but a multisystem syndrome

43. Cardiovascular Biomechanics

44. Virtual Coronary Intervention: A Treatment Planning Tool Based Upon the Angiogram

45. Medical Physics and Biomedical Engineering

47. From Histology and Imaging Data to Models for In-Stent Restenosis

48. Contribution of Mechanical and Fluid Stresses to the Magnitude of In-stent Restenosis at the Level of Individual Stent Struts

49. Virtual Fractional Flow Reserve From Coronary Angiography: Modeling the Significance of Coronary Lesions

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