Surface-based imaging methods for high-resolution functional magnetic resonance imaging

  • Authors:

  • David Ress;Sankari Dhandapani;Sucharit Katyal;Clint Greene;Chandra Bajaj

  • Affiliations:

  • Imaging Research Center, Austin TX;Imaging Research Center, Austin TX;Imaging Research Center, Austin TX;Imaging Research Center, Austin TX;Center for Computational Visualization, University of Texas at Austin, Austin TX

  • Venue:
  • CompIMAGE'10 Proceedings of the Second international conference on Computational Modeling of Objects Represented in Images
  • Year:
  • 2010

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Abstract

Functional magnetic resonance imaging (fMRI) has become an exceedingly popular technique for studies of human brain activity. Typically, fMRI is performed with 3-mm sampling, so that the imaging data can be regarded as two-dimensional samples that roughly average through the typically 1.5—4-mm thickness of cerebral cortex. The use of higher spatial resolutions,