Bonanno, Lilla and Lamponi, Giuseppe and Bramanti, Alessia and Marino, Silvia and Bramanti, Placido and Lanzafame, Pietro (2017) Snake Segmentation and Cluster Analysis for identification of Multiple Sclerosis Lesions. In: Atti della Accademia Peloritana dei Pericolanti - II Classe di Scienze Medico-Biologiche. Accademia Peloritana dei Pericolanti, Messina, pp. 11-17. ISBN 978-88-85864-01-6
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Abstract
Magnetic Resonance Imaging (MRI), allowing in-vivo detection of lesions, is today a crucial tool for diagnosis of Multiple Sclerosis (MS). Although the lesions alone are not sufficient for a diagnosis of MS, because they are similar to patterns detected in other neurological diseases, taking into account different radiological informations, MRI findings can often yield a high degree of confidence. We used a snake based procedure for segmentation of lesion then proposing a method based on Cluster Analysis to support clinicians in the diagnosis of MS. By identifying a minimum set of significant descriptors, our algorithm can help radiologist to distinguish MS plaques from other kinds of lesions.
| Item Type: | Book Section |
|---|---|
| Subjects: | M.U.S. - Miscellanea > Atti Accademia Peloritana > Classe di Scienze Medico-Biologiche > 2012 M.U.S. - Miscellanea > Atti Accademia Peloritana > Classe di Scienze Medico-Biologiche |
| Depositing User: | Mr Nunzio Femminò |
| Date Deposited: | 10 Jan 2018 14:20 |
| Last Modified: | 23 Feb 2018 13:47 |
| URI: | http://cab.unime.it/mus/id/eprint/5239 |
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