Idioma: Inglés
Publicado por Südwestdeutscher Verlag für Hochschulschriften, 2015
ISBN 10: 3838118766 ISBN 13: 9783838118765
Librería: preigu, Osnabrück, Alemania
EUR 74,80
Cantidad disponible: 5 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. Quantification of Structural Changes in the Brain | using Magnetic Resonance Imaging | Klaus Hermann Fritzsche | Taschenbuch | 248 S. | Englisch | 2015 | Südwestdeutscher Verlag für Hochschulschriften | EAN 9783838118765 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
Idioma: Inglés
Publicado por Südwestdeutscher Verlag Für Hochschulschriften, 2010
ISBN 10: 3838118766 ISBN 13: 9783838118765
Librería: Revaluation Books, Exeter, Reino Unido
EUR 148,92
Cantidad disponible: 1 disponibles
Añadir al carritoPaperback. Condición: Brand New. 248 pages. 8.66x5.91x0.56 inches. In Stock.
Idioma: Inglés
Publicado por Südwestdeutscher Verlag Für Hochschulschriften AG Co. KG, 2010
ISBN 10: 3838118766 ISBN 13: 9783838118765
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 89,90
Cantidad disponible: 1 disponibles
Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Magnetic Resonance Imaging (MRI) and diffusion weighted MRI non-invasively deliver anatomical and even microstructural parameters of the living human brain with ever increasing resolution and detail. This book addresses current main challenges in detecting structural changes in the brain and diagnosing Alzheimer's Disease (AD) at early stages using imaging markers. An automated method for individual patient atrophy assessment on a macroscopic level and a Diffusion Tensor Imaging (DTI) based approach to fiber integrity assessment on a microscopic level are introduced. Diffusion phantoms are presented that allow the controlled investigation of quantification methods under PV conditions. A comprehensive set of in-vivo, in-vitro, and in-silico experiments are defined and applied to evaluate different existing and novel DTI- and Q-ball imaging based measures of brain integrity. The presented methods and findings improve the understanding, applicability, and diagnostic use of recently proposed imaging techniques and are an essential step as well towards clinical application of quantitative imaging as towards computer assisted early AD diagnosis.