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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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楼主: Fillmore
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Book 2016tion 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 ad
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Palgrave Studies in the History of Financeand how they relate to tissue microstructure. Important confounds are addressed, including how DTI metrics are influenced by biological factors such as ageing and pathology, and by methodological factors such as data acquisition, modeling, and analysis.
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Palgrave Studies in the History of Financeeir strengths and weaknesses. Additionally, the chapter provides practical guidance on considerations that should be taken into account when choosing how to analyze DTI data, supported by a visual decision scheme and software checklist.
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Richard Kane,Jonathan Borwein,Peter Borweinore embarking on DTI data-collection and analysis in preclinical populations. Such considerations are discussed in the context of three main themes: Who will be scanned? (characteristics of the patient population), How will they be scanned? (scanning, hardware and software resources), and Who can help? (human resources).
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Strategies and Challenges in DTI Analysiseir strengths and weaknesses. Additionally, the chapter provides practical guidance on considerations that should be taken into account when choosing how to analyze DTI data, supported by a visual decision scheme and software checklist.
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DTI in Clinical Practice: Opportunities and Considerationsore embarking on DTI data-collection and analysis in preclinical populations. Such considerations are discussed in the context of three main themes: Who will be scanned? (characteristics of the patient population), How will they be scanned? (scanning, hardware and software resources), and Who can help? (human resources).
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DTI Analysis Methods: Region of Interest Analysisr automatically by aligning all subjects to a template, or by manual delineation. In this chapter the basic principles of ROI analysis are discussed, as well as the appropriate use of ROI analysis and potential pitfalls. Finally some examples using real data are shown.
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Normal Diffusion Tensor Imaging-Based White Matter Anatomyanatomical views of DTI-derived fiber trajectories in all three standard radiological views using color maps and concludes with a three-dimensional representation of the major white matter tracts in the human cerebrum.
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