Related Experiment Video
Updated: May 24, 2026

Adaptation of a Haptic Robot in a 3T fMRI
Published on: October 4, 2011
Haptic editing of MRI brain data
Alexei Sourin1, Shamima Yasmin
1Nanyang Technological University, Singapore. assourin@ntu.edu.sg
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.
More Related Videos
07:34Functional MRI in Conjunction with a Novel MRI-compatible Hand-induced Robotic Device to Evaluate Rehabilitation of Individuals Recovering from Hand Grip Deficits
Published on: November 23, 2019
09:36Extracting Visual Evoked Potentials from EEG Data Recorded During fMRI-guided Transcranial Magnetic Stimulation
Published on: May 12, 2014
Related Concept Videos
Brain Imaging
These technologies include computerized axial tomography (CAT or CT scans), positron-emission tomography (PET scans), magnetic resonance imaging (MRI), functional magnetic resonance imaging (fMRI), and Transcranial Magnetic Stimulation (TMS).
Magnetic Resonance Imaging