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Authors: Tali Lerner ; Ehud Rivlin and Moshe Gur

Affiliation: Technion-Israel Institute of Technology, Israel

ISBN: 972-8865-40-6

ISSN: 2184-4321

Keyword(s): fMRI, pose estimation, motion correction, tracking.

Related Ontology Subjects/Areas/Topics: Applications ; Computer Vision, Visualization and Computer Graphics ; Human-Computer Interaction ; Methodologies and Methods ; Motion and Tracking ; Motion, Tracking and Stereo Vision ; Pattern Recognition ; Physiological Computing Systems ; Stereo Vision and Structure from Motion

Abstract: This paper presents a new vision-based system for motion correction in functional-MRI experiments. fMRI is a popular technique for studying brain functionality by utilizing MRI technology. In an fMRI experiment a subject is required to perform a task while his brain is scanned by an MRI scanner. In order to achieve a high quality analysis the fMRI slices should be aligned. Hence, the subject is requested to avoid head movements during the entire experiment. However, due to the long duration of such experiments head motion is practically unavoidable. Most of the previous work in this field addresses this problem by extracting the head motion parameters from the acquired MRI data. Therefore, these works are limited to relatively small movements and may confuse head motion with brain activities. In the present work the head movements are detected by a system comprised of two cameras that monitor a specially designed device worn on the subject’s head. The system does not depend on the acq uired MRI data and therefore can overcome large head movements. Additionally, the system can be extended to cope with inter-block motion and can be integrated into the MRI scanner for real-time updates of the scan-planes. The performance of the proposed system was tested in a laboratory environment and in fMRI experiments. It was found that high accuracy is obtained even when facing large head movements. (More)

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Paper citation in several formats:
Lerner, T.; Rivlin, E. and Gur, M. (2006). VISION-BASED TRACKING SYSTEM FOR HEAD MOTION CORRECTION IN FMRI IMAGES.In Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP, ISBN 972-8865-40-6, pages 213-220. DOI: 10.5220/0001370202130220

@conference{visapp06,
author={Tali Lerner and Ehud Rivlin and Moshe Gur},
title={VISION-BASED TRACKING SYSTEM FOR HEAD MOTION CORRECTION IN FMRI IMAGES},
booktitle={Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,},
year={2006},
pages={213-220},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001370202130220},
isbn={972-8865-40-6},
}

TY - CONF

JO - Proceedings of the First International Conference on Computer Vision Theory and Applications - Volume 2: VISAPP,
TI - VISION-BASED TRACKING SYSTEM FOR HEAD MOTION CORRECTION IN FMRI IMAGES
SN - 972-8865-40-6
AU - Lerner, T.
AU - Rivlin, E.
AU - Gur, M.
PY - 2006
SP - 213
EP - 220
DO - 10.5220/0001370202130220

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