MICCAI Workshop on Computational Diffusion MRI, CDMRI 2016: MICCAI Workshop on Computational Diffusion MRI, CDMRI 2016

A. Fuster; A. Ghosh; E. Kaden; Y. Rathi; M. Reisert

doi:10.1007/978-3-319-54130-3

MICCAI Workshop on Computational Diffusion MRI, CDMRI 2016: MICCAI Workshop on Computational Diffusion MRI, CDMRI 2016

A. Fuster, A. Ghosh, E. Kaden, Y. Rathi, M. Reisert

Research output: Book/Report › Book editing › Academic › peer-review

Abstract

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.

Original language	English
Publisher	Springer
Number of pages	209
Volume	Part F2
ISBN (Print)	9783319541297
DOIs	https://doi.org/10.1007/978-3-319-54130-3
Publication status	Published - 2017
Event	MICCAI Workshop on Computational Diffusion MRI, (CDMRI2016) - Athens, Greece Duration: 17 Oct 2016 → 21 Oct 2016

Publication series

Name	Mathematics and Visualization
Volume	Part F2
ISSN (Print)	1612-3786
ISSN (Electronic)	2197-666X

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10.1007/978-3-319-54130-3

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title = "MICCAI Workshop on Computational Diffusion MRI, CDMRI 2016: MICCAI Workshop on Computational Diffusion MRI, CDMRI 2016",

abstract = "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.",

author = "A. Fuster and A. Ghosh and E. Kaden and Y. Rathi and M. Reisert",

year = "2017",

doi = "10.1007/978-3-319-54130-3",

language = "English",

isbn = "9783319541297",

volume = "Part F2",

series = "Mathematics and Visualization",

publisher = "Springer",

address = "Germany",

note = "MICCAI Workshop on Computational Diffusion MRI, (CDMRI2016), MCMRI2016 ; Conference date: 17-10-2016 Through 21-10-2016",

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AU - Reisert, M.

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AB - 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.

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