What is the best similarity measure for motion correction in fMRI time series?

By Luis Freire, Alexis Roche, Jean-Francois Mangin. IEEE Transactions on Medical Imaging, 2002

380 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Computer Vision and Pattern Recognition, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/ec5cdedddb5c1249529c6387df0a198311c56598

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In Cognitive Neuroscience

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In Radiology, Nuclear Medicine and Imaging

Citations in the corpus

Medical image registration using mutual information (2003, background): “images [43], fMRI time-series images [27], or SPECT perfusion images [89].”
Dysfunctional action monitoring hyperactivates frontal-striatal circuits in obsessive-compulsive disorder: an event-related fMRI study (2005, positive): “Two functional image runs were realigned using INRIAlign, a motion correction algorithm unbiased by local signal changes (Freire and Mangin, 2001; Freire et al., 2002).”
A method for evaluating dynamic functional network connectivity and task-modulation: application to schizophrenia (2010, neutral): “For motion correction, the INRIalign algorithm was used [53].”
Widespread reward-system activation in obese women in response to pictures of high-calorie foods (2008, neutral): “The fMRI data were realigned using INRIAlign, a motion correction algorithm unbiased by local signal changes that realigns to the first image volume collected (Freire et al., 2002).”
Deep learning for neuroimaging: a validation study (2013, methodology): “Data were post-processed using the SPM5 software package (Friston et al., 1994), motion corrected using INRIalign (Freire et al., 2002), and subsampled to 53 × 63 × 46 voxels.”
Modulation of temporally coherent brain networks estimated using ICA at rest and during cognitive tasks (2008, methodology): “Data were motion corrected using INRIalign—a motion correction algorithm unbiased by local signal changes [Freire et al., 2002], spatially normalized into the standard Montreal Neurological Institute space, and spatially smoothed with a 10 3 10 3 10 mm3 full width at half-maximum Gaussian kernel.”
Handbook of Functional MRI Data Analysis: Index (2011, background): “Other cost functions such as mutual information or robust estimators may be less sensitive to these effects (Freire et al., 2002).”
fMRI Reactivity to High-Calorie Food Pictures Predicts Short- and Long-Term Outcome in a Weight-Loss Program (2012, methodology): “Functional images were slice time-corrected to the onset of the 15th slice (middle slice) and spatially realigned using INRIAlign, amotion correction algorithmunbiased by local signal changes (Freire et al., 2002).”
Estimating the number of independent components for functional magnetic resonance imaging data (2007, methodology): “Images were realigned using INRIalign—a motion correction algorithm unbiased by the local signal changes (Freire et al., 2001; Freire and Mangin, 2001).”