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Introduction to diffusion tensor imaging : and higher order models /
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 t...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Burlington :
Elsevier Science,
2013.
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| Edición: | 2nd ed. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Introduction to diffusion tensor imaging : |b and higher order models / |c edited by Susumu Mori, J-Donald Tournier. |
| 250 | |a 2nd ed. | ||
| 260 | |a Burlington : |b Elsevier Science, |c 2013. | ||
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| 520 | |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. | ||
| 505 | 0 | |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 | |
| 505 | 8 | |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 | |
| 505 | 8 | |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 | |
| 505 | 8 | |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 | |
| 505 | 8 | |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 | |
| 650 | 0 | |a Brain |x Magnetic resonance imaging. | |
| 650 | 0 | |a Diffusion tensor imaging. | |
| 650 | 0 | |a Diffusion magnetic resonance imaging. | |
| 650 | 0 | |a Magnetic resonance imaging. | |
| 650 | 0 | |a Diagnosis. | |
| 650 | 0 | |a Diagnostic imaging. | |
| 650 | 0 | |a Mathematical models. | |
| 650 | 2 | |a Diffusion Magnetic Resonance Imaging |0 (DNLM)D038524 | |
| 650 | 2 | |a Investigative Techniques. | |
| 650 | 2 | |a Diagnostic Techniques, Neurological |0 (DNLM)D003943 | |
| 650 | 2 | |a Analytical, Diagnostic and Therapeutic Techniques and Equipment. | |
| 650 | 2 | |a Magnetic Resonance Imaging |0 (DNLM)D008279 | |
| 650 | 2 | |a Diagnostic Techniques and Procedures |0 (DNLM)D019937 | |
| 650 | 2 | |a Diagnosis |0 (DNLM)D003933 | |
| 650 | 2 | |a Diagnostic Imaging |0 (DNLM)D003952 | |
| 650 | 2 | |a Models, Theoretical |0 (DNLM)D008962 | |
| 650 | 2 | |a Diffusion Tensor Imaging |0 (DNLM)D056324 | |
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| 650 | 6 | |a Imagerie du tenseur de diffusion. |0 (CaQQLa)201-0439819 | |
| 650 | 6 | |a Imagerie par r�esonance magn�etique de diffusion. |0 (CaQQLa)000262196 | |
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| 650 | 7 | |a MEDICAL |x Evidence-Based Medicine. |2 bisacsh | |
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| 700 | 1 | |a Mori, S. |q (Susumu) | |
| 700 | 1 | |a Tournier, J-Donald. | |
| 776 | 0 | 8 | |i Print version: |a Mori, Susumu. |t Introduction to Diffusion Tensor Imaging 2e : And Higher Order Models. |d Burlington : Elsevier Science, �2013 |z 9780123983985 |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780123983985 |z Texto completo |