DocumentCode
2757111
Title
3D Multiscale Visualisation for Medical Datasets
Author
McFarlane, N.J.B. ; Clapworthy, G.J. ; Agrawal, A. ; Viceconti, M. ; Taddei, F. ; Schileo, E. ; Baruffaldi, F.
Author_Institution
Dept. of Comput. & Inf. Syst., Univ. of Bedfordshire, Luton
fYear
2008
fDate
9-11 July 2008
Firstpage
47
Lastpage
52
Abstract
A 3D multiscale view has been developed for medical datasets that are composed of multiple images of very different spatial sizes. The example data consisted of 3 volume images of bone: a 400 mm femur; a 20 mm micro-CT image of trabeculae; and a 0.5 mm nano-CT image of a single trabecula. The images were nested, the nano-CT being inside the micro-CT, which was within the head of the femur. The images were visualised using a volume slice view. The dataset was multiscale in that each image could not be usefully resolved at the scale of the next larger image. The multiscale interaction within the system is based on the replacement of sub-scale images by small click-and-zoom tokens. Issues relating to interaction with the tokens are discussed and early outcomes from this form representation are described.
Keywords
bone; computerised tomography; data visualisation; diagnostic radiography; image representation; medical image processing; orthopaedics; 3D multiscale visualisation; bone; click-and-zoom tokens; femur bone; form representation; medical datasets; microCT image; multiple images; multiscale interaction; nanoCT images; single trabecula; sub-scale images; volume images; volume slice view; Biomedical imaging; Data visualization; Earth; Europe; Geographic Information Systems; Humans; Layout; Navigation; Software libraries; Virtual reality; 3D; Medical; Multiscale; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
BioMedical Visualization, 2008. MEDIVIS '08. Fifth International Conference
Conference_Location
London
Print_ISBN
978-0-7695-3284-4
Type
conf
DOI
10.1109/MediVis.2008.14
Filename
4618612
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