The SRI24 multichannel brain atlas: construction and applications
We present a new standard atlas of the human brain based on magnetic resonance images. The atlas was generated using unbiased population registration from high-resolution images obtained by multichann...
The evaluation of a population based diffusion tensor image atlas using a ground truth method
Purpose: Voxel based morphometry (VBM) is increasingly being used to detect diffusion tensor (DT) image abnormalities in patients for different pathologies. An important requisite for these VBM studie...
A generalization of voxel-wise procedures for high-dimensional statistical inference using ridge regression
Proc. SPIE, Vol. 6914, 69140A (2008);
doi:10.1117/12.770728
Online Publication Date: 11 March 2008
Conference Date: Sunday 17 February 2008
Conference Location: San Diego, CA, USA
Conference Title: Medical Imaging 2008: Image Processing
Conference Chairs: Joseph M. Reinhardt, Josien P. W. Pluim
Whole-brainmorphometry denotes a group of methods with the aim ofrelating clinical and cognitive measurements to regions of the brain.Typically, such methods require the statistical analysis of a dataset with many variables (voxels and exogenous variables) paired withfew observations (subjects). A common approach to this ill-posed problemis to analyze each spatial variable separately, dividing the analysisinto manageable subproblems. A disadvantage of this method is thatthe correlation structure of the spatial variables is not takeninto account. This paper investigates the use of ridge regressionto address this issue, allowing for a gradual introduction ofcorrelation information into the model. We make the connections betweenridge regression and voxel-wise procedures explicit and discuss relations toother statistical methods. Results are given on an in-vivo dataset of deformation based morphometry from a study of cognitivedecline in an elderly population.
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