Your browser doesn't support javascript.
loading
Current Clinical Applications of Diffusion-Tensor Imaging in Neurological Disorders
Journal of Clinical Neurology ; : 129-140, 2018.
Article Dans Anglais | WPRIM | ID: wpr-714344
ABSTRACT
Diffusion-tensor imaging (DTI) is a noninvasive medical imaging tool used to investigate the structure of white matter. The signal contrast in DTI is generated by differences in the Brownian motion of the water molecules in brain tissue. Postprocessed DTI scalars can be used to evaluate changes in the brain tissue caused by disease, disease progression, and treatment responses, which has led to an enormous amount of interest in DTI in clinical research. This review article provides insights into DTI scalars and the biological background of DTI as a relatively new neuroimaging modality. Further, it summarizes the clinical role of DTI in various disease processes such as amyotrophic lateral sclerosis, multiple sclerosis, Parkinson's disease, Alzheimer's dementia, epilepsy, ischemic stroke, stroke with motor or language impairment, traumatic brain injury, spinal cord injury, and depression. Valuable DTI postprocessing tools for clinical research are also introduced.
Sujets)

Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Sujet Principal: Maladie de Parkinson / Traumatismes de la moelle épinière / Encéphale / Lésions encéphaliques / Imagerie diagnostique / Eau / Évolution de la maladie / Accident vasculaire cérébral / Démence / Dépression Type d'étude: Etude diagnostique langue: Anglais Texte intégral: Journal of Clinical Neurology Année: 2018 Type: Article

Documents relatifs à ce sujet

MEDLINE

...
LILACS

LIS

Texte intégral: Disponible Indice: WPRIM (Pacifique occidental) Sujet Principal: Maladie de Parkinson / Traumatismes de la moelle épinière / Encéphale / Lésions encéphaliques / Imagerie diagnostique / Eau / Évolution de la maladie / Accident vasculaire cérébral / Démence / Dépression Type d'étude: Etude diagnostique langue: Anglais Texte intégral: Journal of Clinical Neurology Année: 2018 Type: Article