DocumentCode
2380741
Title
Atlas-based vs. individual-based deterministic tractography of corpus callosum in multiple sclerosis
Author
Laganà, M. ; Rovaris, M. ; Ceccarelli, A. ; Venturelli, C. ; Caputo, D. ; Cecconi, P. ; Baselli, G.
Author_Institution
Polo Tecnol., Fondazione Don Gnocchi ONLUS IRCCS S. Maria Nascente, Milan, Italy
fYear
2009
fDate
3-6 Sept. 2009
Firstpage
2699
Lastpage
2702
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 individual-based 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.
Keywords
biodiffusion; biomedical MRI; biomedical measurement; diseases; image sequences; medical image processing; neurophysiology; atlas-based deterministic tractography; corpus callosum; diffusion tensor magnetic resonance imaging; individual-based deterministic tractography; multiple sclerosis; pathological change detection; tissue microstructure properties; tractography post-processing; Adult; Aged; Brain; Brain Mapping; Case-Control Studies; Corpus Callosum; Diffusion Magnetic Resonance Imaging; Female; Humans; Image Interpretation, Computer-Assisted; Image Processing, Computer-Assisted; Male; Middle Aged; Multiple Sclerosis; Time Factors;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society, 2009. EMBC 2009. Annual International Conference of the IEEE
Conference_Location
Minneapolis, MN
ISSN
1557-170X
Print_ISBN
978-1-4244-3296-7
Electronic_ISBN
1557-170X
Type
conf
DOI
10.1109/IEMBS.2009.5332855
Filename
5332855
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