The proceedings contain 17 papers. The special focus in this conference is on Computational Diffusion MRI. The topics include: The MR physics of advanced diffusion imaging; noise floor removal via phase correction of complex diffusion-weighted images; regularized dictionary learning with robust sparsity fitting for compressed sensing multishell HARDI; denoising diffusion-weighted images using grouped iterative hard thresholding of multi-channel framelets; exploring diffusion time using signal sparsity; sensitivity of OGSE ActiveAx to microstructural dimensions on a clinical scanner; robust construction of diffusion MRI atlases with correction for inter-subject fiber dispersion; parcellation of human amygdala subfields using orientation distribution function and spectral K-means clustering; sparse representation for white matter fiber compression and calculation of inter-fiber similarity; an unsupervised group average cortical parcellation using diffusion MRI to probe cytoarchitecture; colocalization of functional activity and neurite density within cortical areas; comparison of biomarkers in transgenic Alzheimer rats using multi-shell diffusion MRI and working memory function in recent-onset schizophrenia patients associated with white matter microstructure.
|Number of pages||209|
|Publication status||Published - 2017|
|Event||MICCAI Workshop on Computational Diffusion MRI, (CDMRI2016) - Athens, Greece|
Duration: 17 Oct 2016 → 21 Oct 2016
|Name||Mathematics and Visualization|