Messanae Universitas Studiorum

Snake Segmentation and Cluster Analysis for identification of Multiple Sclerosis Lesions

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.

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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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