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Titlebook: Computational Diffusion MRI and Brain Connectivity; MICCAI Workshops, Na Thomas Schultz,Gemma Nedjati-Gilani,Eleftheria Pan Conference proc

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書目名稱Computational Diffusion MRI and Brain Connectivity
副標(biāo)題MICCAI Workshops, Na
編輯Thomas Schultz,Gemma Nedjati-Gilani,Eleftheria Pan
視頻videohttp://file.papertrans.cn/233/232244/232244.mp4
概述Offers a snapshot of the latest developments on a broad range of topics within the very active and growing fields of diffusion MR and brain connectivity.Features the proceedings from two closely relat
叢書名稱Mathematics and Visualization
圖書封面Titlebook: Computational Diffusion MRI and Brain Connectivity; MICCAI Workshops, Na Thomas Schultz,Gemma Nedjati-Gilani,Eleftheria Pan Conference proc
描述.This volume contains the proceedings from two closely related workshops: Computational Diffusion MRI (CDMRI’13) and Mathematical Methods from Brain Connectivity (MMBC’13), held under the auspices of the 16th International Conference on Medical Image Computing and Computer Assisted Intervention, which took place in Nagoya, Japan, September 2013..Inside, readers will find contributions ranging from mathematical foundations and novel methods for the validation of inferring large-scale connectivity from neuroimaging data to the statistical analysis of the data, accelerated methods for data acquisition, and the most recent developments on mathematical diffusion modeling. .This volume offers a valuable starting point for anyone interested in learning computational diffusion MRI and mathematical methods for brain connectivity as well as offers new perspectives and insights on current research challenges for those currently in the field. It will be of interest to researchers and practitioners in computer science, MR physics, and applied mathematics..
出版日期Conference proceedings 2014
關(guān)鍵詞Connectomics; Diffusion Magnetic Resonance Imaging; Fiber Tractography; Medical Image Analysis; Neuroima
版次1
doihttps://doi.org/10.1007/978-3-319-02475-2
isbn_softcover978-3-319-37684-4
isbn_ebook978-3-319-02475-2Series ISSN 1612-3786 Series E-ISSN 2197-666X
issn_series 1612-3786
copyrightSpringer International Publishing Switzerland 2014
The information of publication is updating

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A Quantitative Evaluation of Errors Induced by Reduced Field-of-View in Diffusion Tensor Imagingtings, however, this can often not be achieved due to limited acquisition time. Reduced field-of-view (FOV) approaches counteract this limitation but may pose a challenge for the post-processing steps such as motion and artifact correction. We present an evaluation of the potential problems that ari
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Diffusion Propagator Estimation Using Radial Basis FunctionsMeasures derived from the ADP can be potentially used as markers of tissue integrity in characterizing several mental disorders. Thus, accurate estimation of the ADP is imperative for its use in neuroimaging studies. In this work, we propose a simple method for estimating the ADP by representing the
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