3D multiscale visualisation for medical datasets

Nigel McFarlane; Gordon Clapworthy; Anupam Agrawal; Marco Viceconti; Fulvia Taddei; E. Schileo; F. Baruffaldi

doi:10.1109/MediVis.2008.14

3D multiscale visualisation for medical datasets

Nigel McFarlane
, Gordon Clapworthy
, Anupam Agrawal
, Marco Viceconti
, Fulvia Taddei
, E. Schileo
, F. Baruffaldi

Institute for Research in Applicable Computing (IRAC)

IRCCS Istituto Ortopedico Rizzoli - Bologna

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

4 Citations (Scopus)

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.

Original language	English
Title of host publication	nan
Publisher	Institute of Electrical and Electronics Engineers Inc.
DOIs	https://doi.org/10.1109/MediVis.2008.14
Publication status	Published - 3 Sept 2008
Event	2008 Fifth International Conference BioMedical Visualization: Information Visualization in Medical and Biomedical Informatics - London Duration: 9 Jul 2008 → 11 Jul 2008

Conference

Conference	2008 Fifth International Conference BioMedical Visualization: Information Visualization in Medical and Biomedical Informatics
City	London
Period	9/07/08 → 11/07/08
Other	2008 Fifth International Conference BioMedical Visualization: Information Visualization in Medical and Biomedical Informatics (09/07/2008-11/07/2008, London)

Keywords

3D medical visualisation

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10.1109/MediVis.2008.14

https://ieeexplore.ieee.org/document/4618612

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title = "3D multiscale visualisation for medical datasets",

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 = "3D medical visualisation",

author = "Nigel McFarlane and Gordon Clapworthy and Anupam Agrawal and Marco Viceconti and Fulvia Taddei and E. Schileo and F. Baruffaldi",

year = "2008",

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note = "2008 Fifth International Conference BioMedical Visualization: Information Visualization in Medical and Biomedical Informatics ; Conference date: 09-07-2008 Through 11-07-2008",

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McFarlane, N, Clapworthy, G, Agrawal, A, Viceconti, M, Taddei, F, Schileo, E & Baruffaldi, F 2008, 3D multiscale visualisation for medical datasets. in nan. Institute of Electrical and Electronics Engineers Inc., 2008 Fifth International Conference BioMedical Visualization: Information Visualization in Medical and Biomedical Informatics, London, 9/07/08. https://doi.org/10.1109/MediVis.2008.14

TY - GEN

T1 - 3D multiscale visualisation for medical datasets

AU - McFarlane, Nigel

AU - Clapworthy, Gordon

AU - Agrawal, Anupam

AU - Viceconti, Marco

AU - Taddei, Fulvia

AU - Schileo, E.

AU - Baruffaldi, F.

PY - 2008/9/3

Y1 - 2008/9/3

N2 - 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.

AB - 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.

KW - 3D medical visualisation

U2 - 10.1109/MediVis.2008.14

DO - 10.1109/MediVis.2008.14

M3 - Conference contribution

BT - nan

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2008 Fifth International Conference BioMedical Visualization: Information Visualization in Medical and Biomedical Informatics

Y2 - 9 July 2008 through 11 July 2008

ER -

3D multiscale visualisation for medical datasets

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Keywords

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