Neurological disorders and imaging physics.

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"Version: 20191001"--Title page verso.Includes bibliographical references.1. Magnetic resonance imaging -- 1.1. Introduction -- 1.2. Magnetic resonance imaging2. Computed tomography principles -- 2.1. Basic physics of x-rays -- 2.2. Introduction to CT -- 2.3. CT scanner components -- 2.4. Image acquisition -- 2.5. Image elaboration -- 2.6. CT generations -- 2.7. Spiral volume scanning and multislice-CT -- 2.8. Post-processing -- 2.9. Contrast agents -- 2.10. Intravenous iodinate contrast agents and contrast CT acquisition -- 2.11. ICM : adverse events -- 2.12. Dual-energy CT3. Functional MR applied to neurological disorders -- 3.1. Network medicine -- 3.2. Brain networks and graph theory -- 3.3. fcMRI and neurological disorders -- 3.4. fMRI as an innovative and powerful tool for the investigation of neurological disorders using network medicine -- 3.5. Physiological basis of fMRI -- 3.6. Data-driven analysis, resting state and task methods -- 3.7. Connectivity evaluation in the fMRI experiment : from functional MR to functional connectivity MR -- 3.8. Brain alterations in the Tourette study -- 3.9. Brain alterations in HIV-HCV patients -- 3.10. Brain alterations in gustatory stimulus processing -- 3.11. Conclusions4. MRI spectroscopy in neurological disorders -- 4.1. Introduction -- 4.2. Magnetic resonance spectroscopy and hypoxic-ischemic conditions -- 4.3. Magnetic resonance spectroscopy and neoplastic disease -- 4.4. Magnetic resonance spectroscopy and epilepsy -- 4.5. Magnetic resonance spectroscopy and inflammatory disease of the central nervous system -- 4.6. Magnetic resonance spectroscopy and metabolic disorders -- 4.7. Magnetic resonance spectroscopy and neurodegenerative disorders -- 4.8. Conclusion and future perspectives5. High field MR and neurological disorders -- 5.1. The rationale for high field MRI -- 5.2. Challenges, safety issues and limitations -- 5.3. High field applications -- 5.4. Quantitative techniques -- 5.5. New frontiers and future developments6. Applications of nuclear medicine in multiple sclerosis -- 6.1. Physical and physiological considerations for a nuclear medicine study -- 6.2. Clinical developments -- 6.3. Demyelination -- 6.4. Brain metabolism -- 6.5. Conclusions7. Multiple sclerosis : clinical features -- 7.1. Introduction -- 7.2. Epidemiology -- 7.3. Causes and risk factors -- 7.4. Clinical courses -- 7.5. Clinical features -- 7.6. Optic neuritis -- 7.7. Cognition -- 7.8. Psychiatric disorders in MS -- 7.9. Comorbidities in MS -- 7.10. Prognosis -- 7.11. Multiple sclerosis diagnosis -- 7.12. Treatments -- 7.13. DMDs -- 7.14. Treatment of relapses -- 7.15. Symptom management -- 7.16. DMD efficacy : NEDA -- 7.17. PML risk monitoring -- 7.18. MS and quality of life -- 7.19. Conclusions8. Volumetric analysis and atrophy in multiple sclerosis -- 8.1. Brain atrophy -- 8.2. Conditions associated with brain atrophy -- 8.3. Qualitative imaging findings related to brain volume reduction -- 8.4. Pathological bases of atrophy in MS -- 8.5. Neurodegeneration and MS, clinical implications -- 8.6. Brain volumes and how to calculate them -- 8.7. Linear and regional measures -- 8.8. Segmentation based brain volume measurement methods -- 8.9. Image segmentation methods -- 8.10. Registration based methods -- 8.11. Lesion segmentation -- 8.12. Conclusion9. MR spectroscopy in multiple sclerosis -- 9.1. Introduction -- 9.2. 1H-MRS in MS : general concepts -- 9.3. Acute MS lesions -- 9.4. Chronic MS lesions -- 9.5. NAWM, GM and NAGM -- 9.6. MS therapy -- 9.7. 1H-MRS in MS : clinical practice10. MR imaging and multiple sclerosis differential diagnosis -- 10.1. Neuromyelitis optica (NMO) -- 10.2. Acute disseminated encephalomyelitis (ADEM) -- 10.3. Bal?o's concentric sclerosis -- 10.4. Progressive multifocal leukoencephalopathy (PML) -- 10.5. Tumefactive demyelinating lesions (TDL) or pseudotumor.Multiple sclerosis (MS) is a disease where the body's immune system attacks the brain and spinal cord, causing debilitating side effects that last a lifetime for those affected. Magnetic resonance imaging (MRI) has become an established tool in the diagnosis and monitoring of MS due to its ability to depict the pathological features of the disease in high detail. Over the past few decades, developments in MRI applications, and MRI-based visualization of demyelinated CNS lesions have become pivotal to the diagnosis and monitoring of MS. In recent years, newer MR imaging technologies, including higher-field-strength MR units, have been developed to analyse the overall MS damage and highlight potential mechanisms of recovery in patients at different stages of the disease.Academia and researchers and graduate students in medical imaging and neurology.Also available in print.Mode of access: World Wide Web.System requirements: Adobe Acrobat Reader, EPUB reader, or Kindle reader.Luca Saba is full professor of Radiology and Chief of the Department of Radiology in the A.O.U. of Cagliari. Professor Saba research fields are focused on Multi-Detector-Row Computed Tomography, Magnetic Resonance, Ultrasound, Neuroradiology, and Diagnostic in Vascular Sciences. Jasjit S Suri is an innovator, scientist, industrialist and an internationally known world leader in biomedical engineering. Dr. Suri has spent over 25 years in the field of biomedical engineering/devices and its management. In 2018, he was awarded the Marquis Life Time Achievement Award for his outstanding contributions and dedication to medical imaging and its management.Title from PDF title page (viewed on November 18, 2019).

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: .,

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1 online resource (various pagings) :illustrations (some color).

Language

English

ISBN/ISSN

9780750317597

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616.8/04754

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TECHNOLOGY & ENGINEERING / Biomedical.
Central nervous system
Multiple sclerosis

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[edited by] Luca Saba, Jasjit S. Suri.

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