Please use this identifier to cite or link to this item:
https://hdl.handle.net/10356/84477
Title: | Haptic editing of MRI brain data | Authors: | Sourin, Alexei. Yasmin, Shamima. |
Keywords: | DRNTU::Engineering::Computer science and engineering | Issue Date: | 2012 | Source: | Sourin, A., & Yasmin, S. (2012). Haptic Editing of MRI Brain Data. Studies in Health Technology and Informatics, 173, 19. | Series/Report no.: | Studies in health technology and informatics | Abstract: | 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. | URI: | https://hdl.handle.net/10356/84477 http://hdl.handle.net/10220/11930 |
DOI: | 10.3233/978-1-61499-022-2-490 | Schools: | School of Computer Engineering | Rights: | © 2012 The Authors. | Fulltext Permission: | none | Fulltext Availability: | No Fulltext |
Appears in Collections: | SCSE Journal Articles |
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