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06590cam a2200817Mi 4500 |
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855969857 |
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20180526094835.1 |
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|a 616.807548
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|a Introduction to diffusion tensor imaging :
|b and higher order models /
|c edited by Susumu Mori, J-Donald Tournier.
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|a 2nd ed.
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|a Burlington :
|b Elsevier Science,
|c 2013.
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|a 1 online resource (141 pages)
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|a The concepts behind diffusion tensor imaging (DTI) are commonly difficult to grasp, even for magnetic resonance physicists. To make matters worse, a many more complex higher-order methods have been proposed over the last few years to overcome the now well-known deficiencies of DTI. In Introduction to Diffusion Tensor Imaging: And Higher Order Models, these concepts are explained through extensive use of illustrations rather than equations to help readers gain a more intuitive understanding of the inner workings of these techniques. Emphasis is placed on the interpretation of DTI imag.
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|a Front Cover; Introduction to Diffusion Tensor imaging; Copyright Page; Contents; Preface; Acknowledgments; 1 Basics of Diffusion Measurement; 1.1 NMR Spectroscopy and MRI Can Detect Signals from Water Molecules; 1.2 What is Diffusion?; 1.3 How to Measure Diffusion?; 1.3.1 We Need Gradient Systems to Measure the Diffusion Constant; 1.3.2 Gradient Pulses Change Signal Frequency Based on Locations of Water Molecules; 1.3.3 When a Pair of Dephasing and Rephasing Gradients are Applied, the Signal is Sensitized to Molecular Motions (Diffusio...; 2 Anatomy of Diffusion Measurement.
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|a 2.1 A Set of Unipolar Gradients and Spin-Echo Sequence is Most Widely Used for Diffusion Weighting2.2 There are Four Parameters that Affect the Amount of Signal Loss; 2.3 There are Several Ways of Achieving a Different Degree of Diffusion Weighting; 3 Mathematics of Diffusion Measurement; 3.1 We Need to Calculate Distribution of Signal Phases by Molecular Motion; 3.2 Simple Exponential Decay Describes Signal Loss by Diffusion Weighting; 3.3 Diffusion Constant Can be Obtained from the Amount of Signal Loss But Not from the Signal Intensity.
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|a 3.4 From Two Measurements, We Can Obtain a Diffusion Constant3.5 If There are More Than Two Measurement Points, Linear Least-Square Fitting is Used; References and Suggested Readings; 4 Principle of Diffusion Tensor Imaging; 4.1 NMR/MRI Can Measure Diffusion Constants Along an Arbitrary Axis; 4.2 Diffusion Sometimes has Directionality; 4.3 Six Parameters are Needed to Uniquely Define an Ellipsoid; 4.4 Diffusion Tensor Imaging Characterizes the Diffusion Ellipsoid from Multiple Diffusion Constant Measurements Along Diff...; 4.5 Water Molecules Probe Microscopic Properties of their Environment.
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|a 4.6 Human Brain White Matter has High Diffusion AnisotropyReferences and Suggested Readings; 5 Mathematics of Diffusion Tensor Imaging; 5.1 Our Task is to Determine the Six Parameters of a Diffusion Ellipsoid; 5.2 We Can Obtain the Six Parameters from Seven Diffusion Measurements; 5.3 Determination of the Tensor Elements from a Fitting Process; References and Suggested Readings; 6 Practical Aspects of Diffusion Tensor Imaging; 6.1 Two Types of Motion Artifacts: Ghosting and Coregistration Error; 6.2 We Use Echo-Planar Imaging to Perform Diffusion Tensor Imaging.
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|a 6.3 The Amount of Diffusion-Weighting is Constrained by the Echo Time6.4 There are Various k-Space Sampling Schemes; 6.5 Parallel Imaging is Good News for DTI; 6.6 Image Distortion by Eddy Current Needs Special Attention; 6.7 DTI Results may Differ if Spatial Resolution and SNR have been Changed; 6.8 Selection of b-Matrix; 6.8.1 Strength of the b-Value; 6.8.2 Orientation of Applied Gradients; 6.8.3 The Number of Gradient Orientations; 6.8.4 Which Protocol Should We Use?; 6.8.5 Protocol Setup Flowchart; References and Suggested Readings.
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|a Elsevier
|b ScienceDirect All Books.
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|a Brain
|x Magnetic resonance imaging.
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|a Diffusion tensor imaging.
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|a HEALTH & FITNESS
|x Diseases
|x General.
|2 bisacsh.
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|a MEDICAL
|x Clinical Medicine.
|2 bisacsh.
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|a MEDICAL
|x Evidence-Based Medicine.
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|a MEDICAL
|x Internal Medicine.
|2 bisacsh.
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|a Brain
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|2 fast.
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|a Diffusion tensor imaging.
|2 fast.
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|i Print version:
|a Mori, Susumu.
|t Introduction to Diffusion Tensor Imaging 2e : And Higher Order Models.
|d Burlington : Elsevier Science, ©2013
|z 9780123983985.
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