نتایج جستجو برای: noddi

تعداد نتایج: 104  

2013
Matteo Figini Giuseppe Baselli Marco Riva Lorenzo Bello Hui Zhang Alberto Bizzi

Figure 4. From left to right: maps of FA (from DTI), intracellular fraction, CSF fraction and ODI (from NODDI) in the same lesion shown in fig.3 NODDI performs better than DTI in brain tumors with vasogenic edema Matteo Figini, Giuseppe Baselli, Marco Riva, Lorenzo Bello, Hui Zhang, and Alberto Bizzi Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Milano, MI, I...

Journal: :Magnetic resonance in medicine 2017
Elizabeth B Hutchinson Alexandru V Avram M Okan Irfanoglu C Guan Koay Alan S Barnett Michal E Komlosh Evren Özarslan Susan C Schwerin Sharon L Juliano Carlo Pierpaoli

PURPOSE This study was a systematic evaluation across different and prominent diffusion MRI models to better understand the ways in which scalar metrics are influenced by experimental factors, including experimental design (diffusion-weighted imaging [DWI] sampling) and noise. METHODS Four diffusion MRI models-diffusion tensor imaging (DTI), diffusion kurtosis imaging (DKI), mean apparent pro...

2016
Chinthala P. Reddy Yogesh Rathi

Tracing white matter fiber bundles is an integral part of analyzing brain connectivity. An accurate estimate of the underlying tissue parameters is also paramount in several neuroscience applications. In this work, we propose to use a joint fiber model estimation and tractography algorithm that uses the NODDI (neurite orientation dispersion diffusion imaging) model to estimate fiber orientation...

2014
Damien Jacobs Benoit Scherrer Aleksandar Jankovski Anne des Rieux Maxime Taquet Bernard Gallez Simon K. Warfield Benoit Macq

rats (i, red color), the controlateral part (ii, blue color) and the ipsilateral part (iii, green color). For DIAMOND: λ⁄⁄ ,λ⊥: axial and radial diffusivities, hei: heterogeneity index, Diso: Diffusion isotropic, and fDiso: fraction of Diso. For NODDI: ficvf: intra-cellular volume fraction, fiso: CSF volume fraction and odi: orientation dispersion index. * : statistically significant Characteri...

Journal: :Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention 2017
Prasanna Parvathaneni Baxter P. Rogers Yuankai Huo Kurt Schilling Allison E. Hainline Adam W. Anderson Neil D. Woodward Bennett A. Landman

Tract-based spatial statistics (TBSS) has proven to be a popular technique for performing voxel-wise statistical analysis that aims to improve sensitivity and interpretability of analysis of multi-subject diffusion imaging studies in white matter. With the advent of advanced diffusion MRI models - e.g., the neurite orientation dispersion density imaging (NODDI), it is of interest to analyze mic...

Journal: :NeuroImage 2015
Zach Eaton-Rosen Andrew Melbourne Eliza Orasanu Manuel Jorge Cardoso Marc Modat Alan Bainbridge Giles S. Kendall Nicola J. Robertson Neil Marlow Sébastien Ourselin

Preterm birth is a major public health concern, with the severity and occurrence of adverse outcome increasing with earlier delivery. Being born preterm disrupts a time of rapid brain development: in addition to volumetric growth, the cortex folds, myelination is occurring and there are changes on the cellular level. These neurological events have been imaged non-invasively using diffusion-weig...

2017
Catherine F. Slattery Jiaying Zhang Ross W. Paterson Alexander J.M. Foulkes Amelia Carton Kirsty Macpherson Laura Mancini David L. Thomas Marc Modat Nicolas Toussaint David M. Cash John S. Thornton Susie M.D. Henley Sebastian J. Crutch Daniel C. Alexander Sebastien Ourselin Nick C. Fox Hui Zhang Jonathan M. Schott

Mechanisms underlying phenotypic heterogeneity in young onset Alzheimer disease (YOAD) are poorly understood. We used diffusion tensor imaging and neurite orientation dispersion and density imaging (NODDI) with tract-based spatial statistics to investigate apolipoprotein (APOE) ε4 modulation of white-matter damage in 37 patients with YOAD (22, 59% APOE ε4 positive) and 23 age-matched controls. ...

2017
Alyssa Mah Bryce Geeraert Catherine Lebel

Diffusion tensor imaging (DTI) studies have provided much evidence of white and subcortical gray matter changes during late childhood and early adolescence that suggest increasing myelination, axon density, and/or fiber coherence. Neurite orientation dispersion and density imaging (NODDI) can be used to further characterize development in white and subcortical grey matter regions in the brain b...

Journal: :Alzheimers & Dementia 2021

Abstract Background Neurite Orientation Dispersion and Density Imaging (NODDI), derived through multi‐shell diffusion MRI, allows for the estimation of markers pertaining to multiple distinct components neural tissue microstructure. Lower neurite density index (NDI), lower orientation dispersion (ODI), higher volume fraction isotropic water (V iso ), have all been significantly associated with ...

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