Handbook of Imaging in Multiple Sclerosis

Handbook of Imaging in Multiple Sclerosis

Jakimovski, Dejan; Zivadinov, Robert

Elsevier Science & Technology

12/2024

450

Mole

Inglês

9780323957397

Pré-lançamento - envio 15 a 20 dias após a sua edição

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Section 1: Introduction
1. Immunology and Pathophysiology of Multiple Sclerosis
2. Diagnosis and Clinical Features of Multiple Sclerosis
3. Cognition in Multiple Sclerosis
4. Multiple Sclerosis Treatment
5. Use of MRI and Quantitative MRI Reports in Clinical Care of Multiple Sclerosis
6. MRI Outcomes in MS Clinical Trials

Section 2: Imaging of Multiple Sclerosis
7. Conventional MRI use in Multiple Sclerosis
8. MRI Physics and Image Acquisition
9. Basics of Neuroimaging Analysis
10. Lesions Imaging in Multiple Sclerosis
11. Volumetry and Atrophy in Multiple Sclerosis
12. Spinal Cord Imaging in Multiple Sclerosis

Section 3: Non-conventional MRI use in Multiple Sclerosis
13. Diffusion Tensor Imaging in Multiple Sclerosis
14. Magnetization Transfer Imaging in Multiple Sclerosis
15. Susceptibility-Weighted Imaging in Multiple Sclerosis
16. Quantitative Susceptibility Mapping in Multiple Sclerosis
17. Functional MRI imaging in Multiple Sclerosis
18. Perfusion-Weighted Imaging in Multiple Sclerosis
19. Magnetic Resonance Spectroscopy in Multiple Sclerosis
20. High-Field Imaging in Multiple Sclerosis
21. Emerging MRI Biomarkers

Section 4: Use of Other Imaging Acquisition and Analysis Modalities in Multiple Sclerosis
22. Positron Emission Tomography in Multiple Sclerosis
23. Optical Coherence Tomography in Multiple Sclerosis - Elliot M Frohman
24. Imaging of Multiple Sclerosis in Resource-Poor Settings
25. Use of Artificial Intelligence in Multiple Sclerosis Imaging
26. Imaging of Experimental Models of Multiple Sclerosis
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Active lesion; Adaptive immune system; Arterial spin labeling; Artificial intelligence; Autoimmune disease; Autoimmunity; B cells; B lymphocytes; Bloch equation; Brain; Brain atrophy; Central vein sign; Clinical trials; Cognition; Cognitive rehabilitation; Cognitive relapse; Cortical lesions; Cortical lesions imaging; Deep learning; Dendritic cells; Diagnosis; Diagnosis of multiple sclerosis; Differential diagnosis; Diffusion; Disability; Disease modifying therapy; Disease monitoring; Disease-modifying treatments; Dynamic contrast enhancement; Dynamic susceptibility contrast; Etiology; Experimental autoimmune encephalomyelitis; Functional MRI; Functional connectivity; Future perspectives; GCIPL; Gradient fields; Gradient-recalled echo; Gray matter; High-field imaging; INL; Image formation; Imaging biomarkers; Immune therapies; Innate immune system; LMICs; Larmor precession; Leptomeningeal enhancement; Lesions; MR sequences; MRI; MRI recommendations; MS lesions; MTR; Machine learning; Macromolecules; Macrophages; Magnetic resonance imaging; Magnetic resonance spectroscopy; McDonald criteria; Microglia; Microglial activation; Monitoring of disease activity; Monocytes; Ms; Multiple sclerosis; Myelin; Myelin water; Network; Neurodegeneration; Neuroimaging; Neuroinflammation; Neurological disability; Neuropsychology; Neutrophils; Off-resonance; Optic neuritis; Optical coherence tomography; PRNFL; Paramagnetic rim lesions; Pathophysiological processes; Perfusion; Positron emission tomography; Prognosis; Progressive Ms; Progressive multifocal leukoencephalopathy; Pulse sequence; QSM; Quantitative MRI; Quantitative MRI reports; Quantitative susceptibility mapping; Radiofrequency fields; Relapse; Relapsing remitting Ms; Relaxation; Reserve; Resource-poor settings; Resting-state fMRI; SDMT; Spinal cord