Update index.rst:

- overall description;
- funding acknowledgement
Do move elsewhere if there is a more appropriate place!

docs/index.rst

@@ -6,17 +6,24 @@
 AmpScan
 =======
 
-AmpScan is an open-source Python package for analysis and visualisation of digitised surface scan data, 
-specifically for applications within Prosthetics and Orthotics. These industries are increasingly using 
-surface scanners as part of clinical practice to capture the patient's individual geometry to design 
-personalised devices. AmpScan gives researchers within this field access to powerful tools to analyse 
-the collected scans to help inform clinical practice towards improved patient-outcomes. This package 
-has been designed to be accessible for researchers with only a limited knowledge of Python. Therefore, 
-analysis procedures can all be accessed using the lightweight Graphical User Interface. 
+AmpScan is an open-source Python package for analysis and visualisation of digitised surface scan data,
+specifically for applications within Prosthetics and Orthotics (P&O), with an aim to improve evidence-
+based clinical practice towards improved patient outcomes. The P&O industry is increasingly using surface 
+scanners as part of clinical practice to capture patients' individual anatomic geometry, and design 
+personalised devices. AmpScan gives clinicians access to powerful tools to enhance their records and the 
+evidence-base behind their practice. It gives researchers the capability to analyse data in a robust manner, 
+and the project’s open-source distribution enables the community to contribute to the tool’s development, 
+for example towards a mutually agreed standards of metrics and results presentation. 
+
+This package has been designed to be accessible for researchers with only a limited knowledge of Python. 
+Therefore, analysis procedures can all be accessed using the lightweight Graphical User Interface. 
 
 AmpScan relies heavily on numpy_ and scipy_ to perform 
 mathematical operations with visualisation handled by PyQt_
 and VTK_. The package is still under development by researchers at the University of Southampton. 
+The foundations of this toolbox were developed in research funded by:
+- the UK's Engineering and Physical Sciences Research Council (EPSRC), grants EP/M508147/1 and EP/M000303/1, and
+- the UK's Royal Academy of Engineering (RAEng), grant RF/130.
 For full documentation, visit the AmpScan_ website.
 
 .. _numpy: http://www.numpy.org/