Paper
15 May 2003 Overcoming activation-induced registration errors in fMRI
Jeffery J. Orchard, Chen Greif, Gene H. Golub, Bruce Bjornson, M. Stella Atkins
Author Affiliations +
Abstract
It has been shown that the presence of a blood oxygen level dependent (BOLD) signal in high-field (3T and higher) fMRI datasets can cause stimulus-correlated registration errors, especially when using a least-squares registration method. These errors can result in systematic inaccuracies in activation detection. The authors have recently proposed a new method to solve both the registration and activation detection least-squares problems simultaneously. This paper gives an outline of the new method, and demonstrates its robustness on simulated fMRI datasets containing various combinations of motion and activation. In addition to a discussion of the merits of the method and details on how it can be efficiently implemented, it is shown that, compared to the standard approach, the new method consistently reduces false-positive activations by two thirds and reduces false-negative activations by one third.
© (2003) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jeffery J. Orchard, Chen Greif, Gene H. Golub, Bruce Bjornson, and M. Stella Atkins "Overcoming activation-induced registration errors in fMRI", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); https://doi.org/10.1117/12.480849
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Cited by 1 scholarly publication.
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KEYWORDS
Functional magnetic resonance imaging

Computer simulations

Motion estimation

Chemical elements

Motion models

Image registration

Motion detection

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