Color rapid prototyping for diffusion-tensor MRI visualization

Daniel Acevedo; Song Zhang; David H. Laidlaw; Christopher W. Bull

doi:10.1007/978-3-540-30136-3_144

Color rapid prototyping for diffusion-tensor MRI visualization

Daniel Acevedo^*, Song Zhang, David H. Laidlaw, Christopher W. Bull

^*Corresponding author for this work

Research output: Contribution to journal › Conference article › peer-review

3 Scopus citations

Abstract

The use of color rapid prototyping (RP) plaster models as visualization tools to support scientific research in diffusion-tensor (DT) MRI analysis was analyzed. The surgeons and neurologist were given virtual-reality (VR) applications to visualize different aspects of their brain data. The physical representation of the virtual models allowed them to review the data with a very robust, natural and fast haptic interface. Results show that using information in the DT-MRI data, models are created with better structural stability.

Original language	English (US)
Pages (from-to)	1076-1078
Number of pages	3
Journal	Lecture Notes in Computer Science
Volume	3217
Issue number	1 PART 2
DOIs	https://doi.org/10.1007/978-3-540-30136-3_144
State	Published - 2004
Externally published	Yes
Event	Medical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings - Saint-Malo, France Duration: Sep 26 2004 → Sep 29 2004

ASJC Scopus subject areas

Theoretical Computer Science
General Computer Science

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10.1007/978-3-540-30136-3_144

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title = "Color rapid prototyping for diffusion-tensor MRI visualization",

abstract = "The use of color rapid prototyping (RP) plaster models as visualization tools to support scientific research in diffusion-tensor (DT) MRI analysis was analyzed. The surgeons and neurologist were given virtual-reality (VR) applications to visualize different aspects of their brain data. The physical representation of the virtual models allowed them to review the data with a very robust, natural and fast haptic interface. Results show that using information in the DT-MRI data, models are created with better structural stability.",

author = "Daniel Acevedo and Song Zhang and Laidlaw, {David H.} and Bull, {Christopher W.}",

year = "2004",

doi = "10.1007/978-3-540-30136-3_144",

language = "English (US)",

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journal = "Lecture Notes in Computer Science",

issn = "0302-9743",

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TY - JOUR

T1 - Color rapid prototyping for diffusion-tensor MRI visualization

AU - Acevedo, Daniel

AU - Zhang, Song

AU - Laidlaw, David H.

AU - Bull, Christopher W.

PY - 2004

Y1 - 2004

N2 - The use of color rapid prototyping (RP) plaster models as visualization tools to support scientific research in diffusion-tensor (DT) MRI analysis was analyzed. The surgeons and neurologist were given virtual-reality (VR) applications to visualize different aspects of their brain data. The physical representation of the virtual models allowed them to review the data with a very robust, natural and fast haptic interface. Results show that using information in the DT-MRI data, models are created with better structural stability.

AB - The use of color rapid prototyping (RP) plaster models as visualization tools to support scientific research in diffusion-tensor (DT) MRI analysis was analyzed. The surgeons and neurologist were given virtual-reality (VR) applications to visualize different aspects of their brain data. The physical representation of the virtual models allowed them to review the data with a very robust, natural and fast haptic interface. Results show that using information in the DT-MRI data, models are created with better structural stability.

UR - http://www.scopus.com/inward/record.url?scp=20344376911&partnerID=8YFLogxK

U2 - 10.1007/978-3-540-30136-3_144

DO - 10.1007/978-3-540-30136-3_144

M3 - Conference article

AN - SCOPUS:20344376911

SN - 0302-9743

VL - 3217

SP - 1076

EP - 1078

JO - Lecture Notes in Computer Science

JF - Lecture Notes in Computer Science

IS - 1 PART 2

T2 - Medical Image Computing and Computer-Assisted Intervention, MICCAI 2004 - 7th International Conference, Proceedings

Y2 - 26 September 2004 through 29 September 2004

ER -

Color rapid prototyping for diffusion-tensor MRI visualization

Abstract

ASJC Scopus subject areas

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