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Proceedings Paper

Overcoming activation-induced registration errors in fMRI
Author(s): Jeffery J. Orchard; Chen Greif; Gene H. Golub; Bruce Bjornson; M. Stella Atkins
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Paper 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.

Paper Details

Date Published: 15 May 2003
PDF: 10 pages
Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.480849
Show Author Affiliations
Jeffery J. Orchard, Simon Fraser Univ. (Canada)
Chen Greif, Univ. of British Columbia (Canada)
Gene H. Golub, Stanford Univ. (United States)
Bruce Bjornson, BC's Children's Hospital (Canada)
M. Stella Atkins, Simon Fraser Univ. (Canada)

Published in SPIE Proceedings Vol. 5032:
Medical Imaging 2003: Image Processing
Milan Sonka; J. Michael Fitzpatrick, Editor(s)

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