Abstract
The presence of cerebral activation may bias motion correction estimates when registering FMRI time series. This problem may be solved through the use of specific registration methods, which incorporate or down-weight cerebral activation confounding signals during registration. In this paper, we evaluate the performance of different registration methods specifically designed to deal with the problem of activation presence. The methods studied here yielded better results than the traditional approaches based on least square metrics, almost totally eliminating the activation-related confounds.
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© 2004 Springer-Verlag Berlin Heidelberg
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Freire, L., Orchard, J., Jenkinson, M., Mangin, JF. (2004). Reducing Activation-Related Bias in FMRI Registration. In: Yang, GZ., Jiang, TZ. (eds) Medical Imaging and Augmented Reality. MIAR 2004. Lecture Notes in Computer Science, vol 3150. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28626-4_34
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DOI: https://doi.org/10.1007/978-3-540-28626-4_34
Publisher Name: Springer, Berlin, Heidelberg
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