changes with ageing and progressive impairment of diastolic function. In chapter 4, to evaluate the change in LA haemodynamic and its contribution to LV diastolic performance, an intrinsic LA contractility index, termed maximum LA ejection force (LAEjFmax), was formulated and compared in patients with HFrEF, HFpEF with different severity of diastolic dysfunction, versus ageing and young healthy controls. Load-adjusted LAEjFmax showed negative correlation with ageing and severity of diastolic dysfunction. Next, in chapter 5, maximum LV ejection force (LVEjFmax) was formulated and proposed as an index for LV contractile performance. Preload-adjusted LVEjFmax showed good correlations with conventional indices of systolic performance. It also had an exponential relationship with cardiac injury, assessed by blood biomarker Troponin T. From the flow vectors, intra-LV pressure gradient distributions were also computed in chapter 6. Although comprehensive validation studies are required, this proposed method makes study of non-invasive intra-LV haemodynamic in large number of patients with various disease conditions possible in the clinical settings where high throughput is desired. Lastly, in chapter 7, to gain insights into changes in LV stiffness in HF, extracellular volume fraction (ECV) measurement, which is believed to correlate with myocardial fibrosis, from magnetic resonance T1-mapping native-and post-contrast images. An algorithm to calculate pixel-wise ECV map of LV myocardium was developed and tested in a normal control and a diseased subject. Conclusion and future directions are highlighted in Chapter 8. In addition, clinical application of using contractility index for detection of early stage of siderotic cardiomyopathy is included in the Appendix.