| Autor: |
Fuster, A., Ghosh, A., Kaden, E., Rathi, Y., Reisert, M. |
| Přispěvatelé: |
Mathematical Image Analysis, Center for Analysis, Scientific Computing & Appl. |
| Jazyk: |
angličtina |
| Rok vydání: |
2017 |
| Předmět: |
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| Popis: |
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. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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