From 164f693895be9497916f548217cd7702580a3bca Mon Sep 17 00:00:00 2001 From: asd202 <alex.dickinson@soton.ac.uk> Date: Wed, 20 Mar 2019 16:00:48 +0000 Subject: [PATCH] Update index.rst: - overall description; - funding acknowledgement Do move elsewhere if there is a more appropriate place! --- docs/index.rst | 21 ++++++++++++++------- 1 file changed, 14 insertions(+), 7 deletions(-) diff --git a/docs/index.rst b/docs/index.rst index 55291ce..6d87cf1 100644 --- a/docs/index.rst +++ b/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/ -- GitLab