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.