Title :
Diffusion Tensor Imaging measurements for neuro-detection
Author :
Lay-Ekuakille, A. ; Vergallo, P. ; Stefano, D. ; Massaro, A. ; Trabacca, A. ; Cacciola, M. ; Labate, D. ; Morabito, F.C. ; Morello, R.
Author_Institution :
Dipt. d´´Ing. dell´´Innovazione, Univ. of Salento, Lecce, Italy
Abstract :
The interest of scientific community on brain activities and issues are well-known, especially for neuro-detection of variety of impairments that affect cerebral areas. Various techniques and methods have been using to characterize and to try to understand brain activities for many purposes. Epilepsy, one of them, is a topic of great impact in brain research as well as in Alzheimer issues. Thanks to the development of new biomedical instrumentation it is possible to use appropriate techniques to diagnose the specific pathology. DTI (Diffusion Tensor Imaging) is one of the ultimate technique to have a comprehensive approach to brain activities. This interdisciplinary research highlights the use of DTI to determine preliminarily the ROI (Region Of Interest) for patients with suspected cases of epilepsy. A specific algorithm has been developed to trace out the ROI and the fibers.
Keywords :
biodiffusion; biomedical MRI; brain; diseases; neurophysiology; patient diagnosis; Alzheimer issues; DTI; biomedical instrumentation; brain activities; cerebral areas; diffusion tensor imaging measurements; epilepsy; fibers; neuro-detection; pathology; patient diagnosis; region-of-interest; Anisotropic magnetoresistance; Biomedical measurements; Diffusion tensor imaging; Epilepsy; Nuclear magnetic resonance; Tensile stress; Biomedical sensors; DTI; Diffusion measurements; Magnetic Resonance Imaging; Neuro-detection; Nuclear Magnetic Resonance Spectroscopy; signal processing;
Conference_Titel :
Medical Measurements and Applications Proceedings (MeMeA), 2012 IEEE International Symposium on
Conference_Location :
Budapest
Print_ISBN :
978-1-4673-0880-9
DOI :
10.1109/MeMeA.2012.6226658
