DTI: development of novel method for automated identification of corrupted volume (dark band artifact, cross-talk, etc.) and its impact on parameters estimated with both the standard DTI and with NODDI model. Dataset already available, from 3T scanner, 2 shells 96 directions and 9 B0 (Verona, Borgo Trento).
DTI: assessment of NODDI in evaluating varations in microstructure at meso-scale level of multiple sclerosis lesions in both white and gray matter. Dataset already available, from 3T scanner, 2 shells 96 directions and 9 B0 (Verona, Borgo Trento).
fMRI resting state: Analysis of dynamic effective connectivity on normal and pathological subjects. Dataset already available, from 3T scanner (Verona, Borgo Trento and Human Connectome Project).
DIR & FLAIR: Development of methods for automated lesion segmentation on T2, FLAIR and DIR images of multiple sclerosis patients. Dataset already available, from 3T scanner (Verona, Borgo Trento).
Positron Emission Tomography
[18F]FDOPA imaging: the dataset is made available by the Institute of Psychiatry of King’s College London. Three different theses are available:
Segmentation of [18F]FDOPA PET studies (atlas coregistration without MR based alignment)
Effect of reconstruction on [18F]FDOPA PET imaging (test and evaluation of different reconstruction methods)
Development of an automatic pipeline for [18F]FDOPA quantification (software platform)
The project is covered by Erasmum+ program scholarship