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Record Nr. |
UNINA9910583092503321 |
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Titolo |
Neuroimaging . Part I / / volume editors, Joseph C. Masdeu, R. Gilberto Gonzalez |
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Pubbl/distr/stampa |
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Amsterdam, Netherlands : , : Elsevier, , 2016 |
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©2016 |
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ISBN |
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0-7020-4537-3 |
0-444-53485-7 |
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Descrizione fisica |
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1 online resource (724 p.) |
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Collana |
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Handbook of Clinical Neurology ; ; Volume 135 |
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Disciplina |
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Soggetti |
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Nervous system - Imaging |
Nervous system - Diseases - Imaging |
Nervous System Diseases - diagnosis |
Neuroimaging - methods |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Description based upon print version of record. |
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Nota di bibliografia |
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Includes bibliographical references at the end of each chapters and index. |
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Nota di contenuto |
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Front Cover; Neuroimaging Part I; Copyright; Handbook of Clinical Neurology 3rd Series; Foreword; Preface; Contributors; Contents of Part I; Contents of Part II; Section 1: Neuroimaging methods; Chapter 1: Computed tomography imaging and angiography - principles; Computed tomography imaging and angiography: principles; Introduction; Principles; Noncontrast computed tomography (NCCT); Computed tomography angiography (CTA); CT/CTA selected technical-clinical pearls and pitfalls; Stroke - technical pearls and pitfalls; Nontraumatic intracranial hemorrhage - technical pearls and pitfalls |
New developments and future directions; Dual-energy CT (DECT); Iterative reconstruction algorithms; References; Chapter 2: MR imaging: deconstructing timing diagrams and demystifying k-space; Introduction; Spin localization; Spin synchronization; Concept of an echo and k-space; A closer look at image space and k-space; Image detection and resolution considerations; Parallel imaging; A word about contrast; k-Space mapping strategies; Conclusions; References; Chapter 3: Volumetric and fiber-tracing MRI methods for gray and |
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white matter; Introduction; Brain macrostructure and microstructure |
Quantitative volumetric brain analysis: segmentation; Structural segmentation methods; Imaging requirements; Sources of error; Analysis of brain segmentation results; Volumetric analysis; Surface analysis; Segmentation methods: practical approaches; Segmentation workflow; Brain segmentation systems; Applications of brain segmentation analysis; Evaluation of normal aging; Neurodegenerative disease; Alzheimer's disease; Frontotemporal dementia; Epilepsy; Quantitative analysis of white-matter integrity: diffusion and tractographic analysis; Introduction; Local diffusion analysis |
Regional diffusion analysis: tractography; Diffusion MRI methods; Application of diffusion MRI in the evaluation of white-matter integrity; Local dMRI measures of white-matter integrity and injury; Local measures of dMRI in demyelinating disease; Local measures of dMRI changes in normal aging; Local measures of dMRI in neurodegenerative disease; Regional measures of white-matter integrity: tractography; Tractography: axonal patterning; Tractography: brain connectivity; Tractography: applications; Diffusion MRI and tractography methods: practical approaches |
Diffusion MRI and tractography workflows; Diffusion MRI and tractography systems; Future developments; Summary; References; Chapter 4: Functional magnetic resonance imaging; Introduction; Physiologic principles underlying bold fMRI; Metabolic and hemodynamic signals are surrogates for neural activity; Neurometabolic and neurovascular coupling; Synaptic activity dominantly drives signaling-related energy metabolism; Classic model: neural activity is linearly coupled to CMRGlc, CMRO2, and CBF; Experiment: at rest neural activity is linearly coupled to CMRO2, CMRGlc, and CBF |
Experiment: with activation, neural activity is nonlinearly coupled to CMRGlc and CBF, but nearly linearly coupled to CMRO2 |
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