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Haskins fMRI Workshop Part I: Data Acquisition & Preprocessing. fMRI Setup. Dartmouth College Department of Psychological and Brain Sciences. Collaborations. Yale University Yale MR Imaging Center. Kennedy Krieger Institute F.M. Kirby Research Center for Functional Brain Imaging.
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Haskins fMRI WorkshopPart I:Data Acquisition & Preprocessing
Dartmouth College Department of Psychological and Brain Sciences Collaborations Yale University Yale MR Imaging Center Kennedy Krieger Institute F.M. Kirby Research Center for Functional Brain Imaging
Magnet... Source: www.howstuffworks.com Source: http://www.simplyphysics.com/ flying_objects.html
3D space definitions Standard coordinates are listed as mm distances from the origin (the anterior commisure) along the x/y/z dimensions. some examples: Broca’s area, left hemisphere Tal x=-54 y=27 z=9 right cerebellum: Tal x=33 y=-45 z=-39 left occipitotemporal region: Tal x=-39 y=-45 z=-19 • http://www.sph.sc.edu/comd/rorden/anatomy/home.html
slice orientations sagittal coronal axial
Typical Acquisition Sequence three-plane “localizer” sagittal “scout” axial T1 anatomic several functional runs... high-resolution anatomic (MP-RAGE) Diffusion Tensor Imaging....
Simulated Hemodynamic Response Noise SD = 0 Noise SD = 10 Noise SD = 100
Preprocessing steps functional data: • adjust for slice acquisition time sinc interpolation; “temporal realignment” • adjust for motion “motion correction”; “(spatial) realignment” • apply spatial smoothing gaussian filter anatomic data: • strip skull from image • align with a common template “normalization”
slice acquisition time... We typically acquire 20 (functional) slices in each 2-second interval. Each one takes 100 msec. Must account for this in analysis... functional data: • adjust for slice acquisition time acquisition order 2 1 slice #1 (circles) is acquired at times 0/2/4/6/8... seconds exactly. slice #2 (diamonds) is acquired 100msec later, at times 0.1/2.1/4.1/6.1/8.1... seconds post-stimulus. stimulus onset at time 0
normalization Basic idea: find a transformation that will spatially shift this subject’s brain to align with a template, so that subjects can be averaged together. This also allows us to use a pre-labelled atlas to identify structures. important concepts: • spatial transformations: linear: translation, rotation, scaling; nonlinear: warps • degrees of freedom (DOF) 6: Rigid Body; 7: adds global rescale; 12: affine (adds shear) • similarity functions; search & optimization; resolutions • skull stripping