Tess E. Wallace1, Andrew J. Patterson2, Roie Manavaki1, Martin J. Graves1, and Fiona J. Gilbert1
Physiological
fluctuations and motion artifacts are expected to be dominant sources of noise
in BOLD fMRI experiments to assess tumor oxygenation and angiogenesis. This work
assesses the impact of a non-rigid registration algorithm and retrospective
image correction (RETROICOR) on the detection of activation signals in the
breast, both at resting state and in response to a modulated respiratory
stimulus paradigm. Our results suggest that correction for motion artifacts is
associated with a reduction in false-positive activation effects, which can be
further improved by the addition of RETROICOR, confirming the importance of
these physiological corrections in functional parameter estimation.