Paulo
Rodrigues1, Vesna Prckovska1, W. L.P.M. Pullens2,
Gustav J. Strijkers3, Anna Vilanova1, Bart M. ter Haar
Romeny1
1Biomedical
Image Analysis, Eindhoven University of Technology, Eindhoven, Noord Brabant,
Netherlands; 2Maatricht Brain Imaging Center, Maastricht
University, Maastricht, Limburg, Netherlands; 3Department of
Biomedical Engineering, Eindhoven University of Technology, Eindhoven, Noord
Brabant, Netherlands
Diffusion
Weighted MRI techniques such as Diffusion Tensor Imaging (DTI) and High
Angular Resolution Diffusion Imaging (HARDI) are emerging MRI techniques able
to depict in-vivo brains connectivity map. There is a wide range of uses of
these techniques; however, their application in a clinical setting requires
thorough validation. This work aims to validate DTI and HARDI software
phantoms, in regions of single and complex fiber bundles, w.r.t to hardware
phantom and in-vivo human brain data. Knowledge of the accuracy of synthetic
data can improve the evaluation of such algorithms, and advance the
employment of DTI and HARDI into clinical environment.