Haptic editing of MRI brain data

Automated brain segmentation may leave errors which can be identified by comparing the location of the actual MRI voxels with reference to the reconstructed pial polygonal surface of the brain. Location of the segmentation errors can be marked by displaying color spots on the brain surface followed...

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Main Authors: Sourin, Alexei., Yasmin, Shamima.
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/84477
http://hdl.handle.net/10220/11930
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-844772020-05-28T07:17:51Z Haptic editing of MRI brain data Sourin, Alexei. Yasmin, Shamima. School of Computer Engineering DRNTU::Engineering::Computer science and engineering Automated brain segmentation may leave errors which can be identified by comparing the location of the actual MRI voxels with reference to the reconstructed pial polygonal surface of the brain. Location of the segmentation errors can be marked by displaying color spots on the brain surface followed by its interactive editing, as we previously proposed. In this paper, a new haptic friction-based approach of identifying and correcting errors has been discussed. The user can feel as different friction the discrepancy along the reconstructed surface by moving a haptic proxy along it followed by rubbing the surface as if it is being polished. The proposed approach does not only limit its application in editing of medical data, but can also be successfully used for visually impaired group as this dynamic friction-based editing helps any novice user identify error prone area just by touching the surface. 2013-07-22T03:12:08Z 2019-12-06T15:45:52Z 2013-07-22T03:12:08Z 2019-12-06T15:45:52Z 2012 2012 Journal Article Sourin, A., & Yasmin, S. (2012). Haptic Editing of MRI Brain Data. Studies in Health Technology and Informatics, 173, 19. https://hdl.handle.net/10356/84477 http://hdl.handle.net/10220/11930 10.3233/978-1-61499-022-2-490 en Studies in health technology and informatics © 2012 The Authors.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Sourin, Alexei.
Yasmin, Shamima.
Haptic editing of MRI brain data
description Automated brain segmentation may leave errors which can be identified by comparing the location of the actual MRI voxels with reference to the reconstructed pial polygonal surface of the brain. Location of the segmentation errors can be marked by displaying color spots on the brain surface followed by its interactive editing, as we previously proposed. In this paper, a new haptic friction-based approach of identifying and correcting errors has been discussed. The user can feel as different friction the discrepancy along the reconstructed surface by moving a haptic proxy along it followed by rubbing the surface as if it is being polished. The proposed approach does not only limit its application in editing of medical data, but can also be successfully used for visually impaired group as this dynamic friction-based editing helps any novice user identify error prone area just by touching the surface.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Sourin, Alexei.
Yasmin, Shamima.
format Article
author Sourin, Alexei.
Yasmin, Shamima.
author_sort Sourin, Alexei.
title Haptic editing of MRI brain data
title_short Haptic editing of MRI brain data
title_full Haptic editing of MRI brain data
title_fullStr Haptic editing of MRI brain data
title_full_unstemmed Haptic editing of MRI brain data
title_sort haptic editing of mri brain data
publishDate 2013
url https://hdl.handle.net/10356/84477
http://hdl.handle.net/10220/11930
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