Automatic volumetric segmentation of human visual retinotopic cortex.
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.
Dumoulin
Serge O
SO
Department of Ophthalmology, McGill University, Montréal, Québec, Canada. serge@bic.mni.mcgill.ca
Hoge
Richard D
RD
Baker
Curtis L
CL
Hess
Robert F
RF
Achtman
Rebecca L
RL
Evans
Alan C
AC
D000328:Adult; D001931:Brain Mapping; D017352:Echo-Planar Imaging / Q000295:instrumentation*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000295:instrumentation*; D021621:Imaging, Three-Dimensional / Q000295:instrumentation*; D008279:Magnetic Resonance Imaging / Q000295:instrumentation*; D008297:Male; D008875:Middle Aged; D010364:Pattern Recognition, Visual / Q000502:physiology; D010775:Photic Stimulation; D012016:Reference Values; D012160:Retina / Q000502:physiology*; D014793:Visual Cortex / Q000502:physiology; D014794:Visual Fields / Q000502:physiology*