Text size
  • Small
  • Medium
  • Large
Contrast
  • Standard
  • Blue text on blue
  • High contrast (Yellow text on black)
  • Blue text on beige

    Growth: Visualisation of predictive mathematical models using 3D computer graphics and animation

    Electronic Visualisation and the Arts (EVA 2016)

    London, UK, 12 - 14 July 2016

    AUTHORS

    Dylan Gauld

    ABSTRACT

    http://dx.doi.org/10.14236/ewic/EVA2016.41

    ‘Growth’ is a short film created as a result of a multidisciplinary collaboration between artists and scientists from the University of Dundee. The author worked with mathematicians to investigate how techniques and technologies used in 3D computer animation and visual effects industries might support the enhanced visualisation of predictive mathematical modelling of solid tumour growth. This paper will discuss the practical and artistic processes of this visualisation research, including the technical innovations required in undertaking this work - such as the creation of custom tools for ‘reading’ data, or the addition of stereoscopic output. By transforming numerical data into three-dimensional ‘objects’, artists can provide new ways of ‘seeing’ information and identifying patterns or results. Developing visualisation techniques can be used to improve the communication of cancer growth to patients (by increasing patient understanding and relieving their fears) through the use of new and innovative visual material.

    PAPER FORMATS

    PDF file PDF Version of this Paper 673(kb)