Results 1 - 5 of 5

SPM8 Manual The FIL Methods Group (and honorary members)

by John Ashburner, Gareth Barnes, Chun-chuan Chen, Jean Daunizeau, Guillaume Flandin, Karl Friston, Stefan Kiebel, James Kilner, Vladimir Litvak, Rosalyn Moran, Will Penny, Maria Rosa, Klaas Stephan, Darren Gitelman, Rik Henson, Chloe Hutton, Volkmar Glauche, Jérémie Mattout, Christophe Phillips , 2012
"... ..."
Abstract - Add to MetaCart
Abstract not found

doi:10.1155/2011/598206 Research Article fMRI Artefact Rejection and Sleep Scoring Toolbox

by Yves Leclercq, Jessica Schrouff, Quentin Noirhomme, Pierre Maquet, Christophe Phillips
"... Copyright © 2011 Yves Leclercq et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. We started writing the “fMRI artefact rejection ..."
Abstract - Add to MetaCart
manipulation (viewing, comparing, chunking, etc.) of long continuous M/EEG recordings, (2) rejection of the fMRI-induced artefact in the EEG signal, and (3) manual sleep-scoring of the M/EEG recording. Currently, the toolbox can efficiently deal with these issues via a GUI, SPM8 batching system or hand

AutomatedWhiteMatter Total Lesion Volume Segmentation in Diabetes

by unknown authors
"... BACKGROUND AND PURPOSE: WM lesion segmentation is often performed with the use of subjective rating scales because manual methods are laborious and tedious; however, automated methods are now available. We compared the performance of total lesion volume grading computed by use of an automated WM les ..."
Abstract - Add to MetaCart
.5 9.4 years) were evaluated in an institutional review board–approved study. WM lesion segmentation maps and total lesion volumewere generated for each subject bymeans of the Statistical ParametricMapping (SPM8) Lesion Segmentation Toolbox. Subjective WM lesion grade was determined by means of a 0

AutomatedWhiteMatter Total Lesion Volume Segmentation in Diabetes

by unknown authors
"... BACKGROUND AND PURPOSE: WM lesion segmentation is often performed with the use of subjective rating scales because manual methods are laborious and tedious; however, automated methods are now available. We compared the performance of total lesion volume grading computed by use of an automated WM les ..."
Abstract - Add to MetaCart
.5 9.4 years) were evaluated in an institutional review board–approved study. WM lesion segmentation maps and total lesion volumewere generated for each subject bymeans of the Statistical ParametricMapping (SPM8) Lesion Segmentation Toolbox. Subjective WM lesion grade was determined by means of a 0

Complex data analysis in high-resolution SSFP fMRI. Magn Reson Med 2007;57:905–917

by Jongho Lee , Morteza Shahram , Armin Schwartzman , John M Pauly
"... In transition-band steady-state free precession (SSFP) functional MRI (fMRI), functional contrast originates from a bulk frequency shift induced by a deoxygenated hemoglobin concentration change in the activated brain regions. This frequency shift causes a magnitude and/or phase-signal change depen ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
MRI is based on a bulk frequency shift induced by a fractional oxygen saturation change of hemoglobin where ␥ is the gyromagnetic ratio (2.678 ϫ 10 8 rad T -1 s -1 ), Hct is a fractional hematocrit in blood (0.4), ⌬ is the susceptibility difference between fully oxygenated and fully deoxygenated red blood
Results 1 - 5 of 5