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Contour-based registration technique to differentiate between task-activated and head motion-induced signal variations in fMRI

✍ Scribed by Bharat B. Biswal; James S. Hyde


Book ID
102957438
Publisher
John Wiley and Sons
Year
1997
Tongue
English
Weight
760 KB
Volume
38
Category
Article
ISSN
0740-3194

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✦ Synopsis


Abstract

Data acquired using functional magnetic resonance imaging are often contaminated by head motion. As a result, optimal information regarding task‐induced (or resting‐state) signal changes cannot be extracted. Intensity‐based registration methods, including intensity correlation or minimum intensity variance techniques, are widely used to register two or more images. It is shown here that intensity‐based registration cannot accurately register two or more images in the presence of local intensity changes arising from functional magnetic resonance, fMRI, signals. In this paper, we present a contour‐based technique that can be used not only for a more robust registration, but also to help differentiate between task‐induced and motion‐induced signal changes. Results obtained using both phantom and human brain images demonstrate advantages of this technique compared with a conventional intensity registration technique.