Automatic volumetric segmentation of human visual retinotopic cortex.

by: SO Dumoulin, RD Hoge, CL Baker, RF Hess, RL Achtman, AC Evans

Neuroimage, Vol. 18, No. 3. (March 2003), pp. 576-587.

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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.

@article{citeulike:100163, 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.}, address = {Department of Ophthalmology, McGill University, Montr\'{e}al, Qu\'{e}bec, Canada. serge@bic.mni.mcgill.ca}, author = {Dumoulin, S. O. and Hoge, R. D. and Baker, C. L. and Hess, R. F. and Achtman, R. L. and Evans, A. C. }, citeulike-article-id = {100163}, issn = {1053-8119}, journal = {Neuroimage}, keywords = {fmri, retinotopy}, month = {March}, number = {3}, pages = {576--587}, posted-at = {2008-05-13 16:05:26}, priority = {2}, title = {Automatic volumetric segmentation of human visual retinotopic cortex.}, url = {http://view.ncbi.nlm.nih.gov/pubmed/12667835}, volume = {18}, year = {2003} }

RIS record

TY - JOUR ID - citeulike:100163 L3 - citeulike-article-id:100163 TI - Automatic volumetric segmentation of human visual retinotopic cortex. JF - Neuroimage VL - 18 IS - 3 SP - 576 EP - 587 AD - Department of Ophthalmology, McGill University, Montréal, Québec, Canada. serge@bic.mni.mcgill.ca SN - 1053-8119 N2 - 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. KW - fmri KW - retinotopy AU - Dumoulin, SO AU - Hoge, RD AU - Baker, CL AU - Hess, RF AU - Achtman, RL AU - Evans, AC PY - 2003/03// UR - http://view.ncbi.nlm.nih.gov/pubmed/12667835 ER -

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