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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lagana, M. Rovaris, M. Ceccarelli, A. Venturelli, C. Caputo, D. Cecconi, P. Baselli, G. |
| Copyright Year | 2009 |
| Description | Author affiliation: Politecnico di Milano, Dept. of Bioengineering (Venturelli, C.; Baselli, G.) || U.O. Sclerosi Multipla, Fondazione Don Gnocchi ONLUS - IRCCS S. Maria Nascente, Milano (Rovaris, M.; Ceccarelli, A.; Caputo, D.) || Polo Tecnologico, Fondazione Don Gnocchi ONLUS IRCCS S. Maria Nascente, Milano (Italy); Politecnico di Milano, Dept. of Bioengineering (Lagana, M.) || UO Diagnostica per Immagini, Fondazione Don Gnocchi ONLUS - IRCCS S. Maria Nascente, Milano (Cecconi, P.) |
| Abstract | Diffusion tensor (DT) magnetic resonance imaging is able to quantify tissue microstructure properties and to detect pathological changes even in the normal appearing tissues. DT sequence parameters which provide optimal SNR and minimum acquisition time, and an individual-based tractography post-processing allowed corpus callosum tractography even in multiple sclerosis (MS) patients also with no need of a-priori atlas. In this preliminary study, we were able to obtain reliable individual-based tractography in 28/30 MS patients. DT-derived indices computed in tracks obtained with individualbased tractography were able to differentiate healthy volunteers from MS patients better than the same indices computed with the atlas method. This indicates that such an optimized sequence may be a reliable tool to be used in future MS studies. |
| Starting Page | 2699 |
| Ending Page | 2702 |
| File Size | 418621 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424432967 |
| ISSN | 1557170X |
| DOI | 10.1109/IEMBS.2009.5332855 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-09-03 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Multiple sclerosis Magnetic resonance imaging Transmission line matrix methods Diffusion tensor imaging Tensile stress Microstructure Magnetic properties Pathology In vivo Anisotropic magnetoresistance |
| Content Type | Text |
| Resource Type | Article |
| Subject | Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition |
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