Commit 164f6938 authored by Alex Dickinson's avatar Alex Dickinson
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Update index.rst:

- overall description;
- funding acknowledgement
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AmpScan
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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/
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