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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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. |
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DRNTU::Engineering::Computer science and engineering Sourin, Alexei. Yasmin, Shamima. Haptic editing of MRI brain data |
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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. |
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School of Computer Engineering |
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School of Computer Engineering Sourin, Alexei. Yasmin, Shamima. |
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Article |
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Sourin, Alexei. Yasmin, Shamima. |
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Sourin, Alexei. |
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Haptic editing of MRI brain data |
title_short |
Haptic editing of MRI brain data |
title_full |
Haptic editing of MRI brain data |
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Haptic editing of MRI brain data |
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Haptic editing of MRI brain data |
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haptic editing of mri brain data |
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2013 |
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https://hdl.handle.net/10356/84477 http://hdl.handle.net/10220/11930 |
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