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The Challenge of Functional Magnetic Resonance Imaging
Pages 39-46

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From page 39...
... 2 Functional Magnetic Resonance Imaging (fMRI) Recent developments in magnetic resonance imaging (MRI)
From page 40...
... produces the Fourier transform of the magnetic field spin densit`- for a, particular atomic isotope. Then computing the inverse Fourier transform of the digitized signal reseals an image of the (magnetic field spin density of the)
From page 41...
... Our motion correction procedure is complicated: first, by a non-linear optimization technique we estimate the amount of movement required to align each image and, second, we adjust the corrected data to account for this movement. We then calculate the inverse Fourier transform of the corrected and motion-corrected data to produce the actual image.
From page 42...
... in principle, can be modeled. We have begun planning experiments to gather data -which might allo\NT us to successfully model the cardiac and respiratory cycles because our more experienced colleagues believe that this is one of the primary sources of noise.
From page 43...
... . The analysis of functional Magnetic Resonance Imaging data can in man,- ways be viewed a prototype for a class of statistical problems that are arising more and more frequently in applications: namely large data, sets derived from a complex process with both spatial and temporal extent.
From page 44...
... Center; SIRRC = I\laglletic Resollallce Resealch Center; PETRC = Position Emission Tomographs Research Center; PITT = University- of Pittsburgh; PSC = Pittsburgh Supercomputer Center; UPAIC = University of Pittsburgh Medical Center; VAMC = Veterans Administration Medical Center; EPIC = Western Psychiatric Institute and Clinic.
From page 45...
... . ~Dvnamic magnetic resonance imaging of human brain activity during primary sensory stimulation," Proc.


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