Title :
A Survey and Classification of Visualisation in Multiscale Biomedical Applications
Author :
McFarlane, N.J.B. ; Ma, X. ; Clapworthy, G.J. ; Bessis, N. ; Testi, D.
Author_Institution :
Dept. of Comput. Sci. & Technol., Univ. of Bedfordshire, Luton, UK
Abstract :
The MSV project aims to survey current best practice in multiscale visualisation and to construct a software toolkit which will make multiscale techniques readily accessible to biomedical researchers and clinicians. In this paper, current methods for multiscale data visualisation in several domains are reviewed, and a novel classification of multiscale techniques for biomedical applications by function is proposed. The classification will form the basis of a design menu and toolkit for multiscale visualisation.
Keywords :
data visualisation; medical computing; pattern classification; software tools; MSV project; design menu; multiscale biomedical applications; multiscale data visualisation; software toolkit; visualisation classification; visualisation survey; Context; Data visualization; Google; Humans; Image resolution; Lenses; Navigation; Biomedical; Computer graphics; Multiscale; Review; Survey; Visualisation;
Conference_Titel :
Information Visualisation (IV), 2012 16th International Conference on
Conference_Location :
Montpellier
Print_ISBN :
978-1-4673-2260-7