Automatic volumetric segmentation of human visual retinotopic cortex

Neuroimage. 2003 Mar;18(3):576-87. doi: 10.1016/s1053-8119(02)00058-7.

Abstract

Previous identification of early visual cortical areas in humans with phase-encoded retinotopic mapping techniques have relied on an accurate cortical surface reconstruction. Here a 3D phase-encoded retinotopic mapping technique that does not require a reconstruction of the cortical surface is demonstrated. The visual field sign identification is completely automatic and the method directly supplies volumes for a region-of-interest analysis, facilitating the application of cortical mapping to a wider population. A validation of the method is provided by simulations and comparison to cortical surface-based methodology.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adult
  • Brain Mapping
  • Echo-Planar Imaging / instrumentation*
  • Female
  • Humans
  • Image Processing, Computer-Assisted / instrumentation*
  • Imaging, Three-Dimensional / instrumentation*
  • Magnetic Resonance Imaging / instrumentation*
  • Male
  • Middle Aged
  • Pattern Recognition, Visual / physiology
  • Photic Stimulation
  • Reference Values
  • Retina / physiology*
  • Visual Cortex / physiology
  • Visual Fields / physiology*