3D multiscale visualisation for medical datasets

被引：3

作者：

McFarlane, N. J. B. ^{[1
]}

Clapworthy, G. J. ^{[1
]}

Agrawal, A. ^{[1
]}

Viceconti, M. ^{[2
]}

Taddei, F. ^{[2
]}

Schileo, E. ^{[2
]}

Baruffaldi, F. ^{[2
]}

机构：

[1] Univ Bedfordshire, Dept Comp & Informat Syst, Luton, Beds, England

[2] Ist Ortoped Rizzoli, Lab Technol Med, Bologna, Italy

来源：

MEDIVIS 2008: FIFTH INTERNATIONAL CONFERENCE BIOMEDICAL VISUALIZATION - INFORMATION VISUALIZATION IN MEDICAL AND BIOMEDICAL INFORMATICS, PROCEEDINGS | 2008年

关键词：

D O I：

10.1109/MediVis.2008.14

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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 400mm femur; a 20mm micro-CT image of trabeculae; and a 0.5mm 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.

引用

页码：47 / +

页数：2

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