This talk shows how
voxel data was used to automatically extract cover planes and more information in Killzone 3's toolset.
This talk shows how
voxel data was used to automatically extract cover planes and more information in Killzone 3's toolset.
Not exact matches
The research team simplified this
data using
voxel - based morphometry, or VBM — a technique that breaks the brain into 3 - D pixels and permits rigorous statistical comparison of brain tissue density among people.
Increased computational power now allows investigation of the whole - brain correlation matrix, the temporal correlation of every
voxel with every other
voxel throughout the brain, and the application of multivariate pattern analysis to these correlational
data.
In the new system, a mathematical model uses the fMRI signal
data to construct a 3 - D map that consists of more than 1,000
voxels (pixels in three dimensions), with each
voxel representing a single point of measurement of serotonin reuptake.
They pooled the CT
data to produce a collective map of the cortex, which they divided into more than 3,000 three - dimensional units called
voxels.
To demonstrate the predictive value of individual differences in morphometric patterns of gray matter density for intelligence, we applied
voxel - based morphometry (VBM) on structural magnetic resonance imaging (MRI)
data from 308 adult participants (Nooner et al., 2012).
Then a cross-correlation matrix was calculated, correlating each
voxel's time course to all other
voxels in the
data set.
This approach seems intuitive and reasonable especially for those neuroimaging researchers who are accustomed to
voxel - based analyses of neuroimaging
data.
The resting - state fMRI time series
data from each subject was realigned to the accompanying T1 - weighted structural image and spatially normalized to the MNI (Montréal Neurological Institute) template by the FSL software package (FMRIB; Oxford, UK), and any non-brain
voxels were removed from the fMRI
data.
The normalized fMRI
data was masked so that only the gray matter
voxels corresponding to the areas specified by the AAL (Automated Anatomical Labeling) atlas [40] were included in the subsequent analyses.
Resting - State fMRI
Data Analysis Toolkit (REST) is a convenient toolkit to calculate Functional Connectivity (FC), Regional Homogeneity (ReHo), Amplitude of Low - Frequency Fluctuation (ALFF), Fractional ALFF (fALFF), Gragner causality, degree centrality,
voxel - mirrored homotopic connectivity (VMHC) and perform statistical analysis.
The statistical threshold used for these
data was first set to p < 0.005 (one - tailed, uncorrected) at the individual
voxel level.