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Titlebook: Diffusion Tensor Imaging; A Practical Handbook Wim Van Hecke,Louise Emsell,Stefan Sunaert Book 2016 Springer Science+Business Media New Yor

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书目名称Diffusion Tensor Imaging
副标题A Practical Handbook
编辑Wim Van Hecke,Louise Emsell,Stefan Sunaert
视频videohttp://file.papertrans.cn/280/279020/279020.mp4
概述Provides an overview of the practical aspects of diffusion tensor imaging.Covers the practical implementation of DTI, derivation of information from DTI data and clinical applications.Includes decisio
图书封面Titlebook: Diffusion Tensor Imaging; A Practical Handbook Wim Van Hecke,Louise Emsell,Stefan Sunaert Book 2016 Springer Science+Business Media New Yor
描述This book provides an overview of the practical aspects of diffusion tensor imaging (DTI), from understanding the basis of the technique through selection of the right protocols, trouble-shooting data quality, and analyzing DTI data optimally. DTI is a non-invasive magnetic resonance imaging (MRI) technique for visualizing and quantifying tissue microstructure based on diffusion. The book discusses the theoretical background underlying DTI and advanced techniques based on higher-order models and multi-shell diffusion imaging. It covers the practical implementation of DTI; derivation of information from DTI data; and a range of clinical applications, including neurosurgical planning and the assessment of brain tumors. Its practical utility is enhanced by decision schemes and a fully annotated DTI brain atlas, including color fractional anisotropy maps and 3D tractography reconstructions of major white matter fiber bundles. Featuring contributions from leading specialists in the field ofDTI, .Diffusion Tensor Imaging: A Practical Handbook. is a valuable resource for radiologists, neuroradiologists, MRI technicians and clinicians.
出版日期Book 2016
关键词diffusion kurtosis imaging; functional imaging; high angular resolution diffusion imaging; quantitative
版次1
doihttps://doi.org/10.1007/978-1-4939-3118-7
isbn_softcover978-1-4939-3117-0
isbn_ebook978-1-4939-3118-7
copyrightSpringer Science+Business Media New York 2016
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https://doi.org/10.1007/978-1-4939-3118-7diffusion kurtosis imaging; functional imaging; high angular resolution diffusion imaging; quantitative
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Elisabeth M. T. Wurm,Hans Peter Soyera formal point of view, however, DTI is the practice of fitting a tensor model to the DWI data. It is one of the simplest ways to model the DWI data that accounts, up to some extent, for the anisotropy in this kind of data. Exploiting this anisotropy is key to obtaining the characteristic directiona
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