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

Dylan Gauld (Lead / Corresponding author)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

115 Downloads (Pure)

Abstract

‘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.

Original languageEnglish
Title of host publicationProceedings of the Electronic Visualisation and the Arts (EVA) 2016
Pages205-2012
Number of pages8
DOIs
Publication statusPublished - 1 Jul 2016
EventElectronic Visualisation and the Arts 2016 - London, United Kingdom
Duration: 12 Jul 201614 Jul 2016
https://ewic.bcs.org/category/18854

Conference

ConferenceElectronic Visualisation and the Arts 2016
Abbreviated titleEVA 2016
Country/TerritoryUnited Kingdom
CityLondon
Period12/07/1614/07/16
Internet address

Keywords

  • Data visualisation
  • Scientific visualisation
  • 3D computer graphics
  • Animation
  • Stereoscopy
  • 3D printing
  • Creative practice

Fingerprint

Dive into the research topics of 'Growth: Visualisation of predictive mathematical models using 3D computer graphics and animation'. Together they form a unique fingerprint.

Cite this