Functional Maps for Brain Classification on Spectral Domain

  • Simone Melzi
  • Alessandro Mella
  • Letizia Squarcina
  • Marcella Bellani
  • Cinzia Perlini
  • Mirella Ruggeri
  • Carlo Alfredo Altamura
  • Paolo Brambilla
  • Umberto Castellani
Conference paper

DOI: 10.1007/978-3-319-51237-2_3

Part of the Lecture Notes in Computer Science book series (LNCS, volume 10126)
Cite this paper as:
Melzi S. et al. (2016) Functional Maps for Brain Classification on Spectral Domain. In: Reuter M., Wachinger C., Lombaert H. (eds) Spectral and Shape Analysis in Medical Imaging. SeSAMI 2016. Lecture Notes in Computer Science, vol 10126. Springer, Cham

Abstract

In this paper we exploit the Functional maps approach for brain classification. The functional representation of brain shapes, or their subparts, enables us to improve the detection of morphological abnormalities associated with the analyzed disease. The proposed method is based on the spectral shape paradigm that is largely used for generic geometric processing but still few exploited in the medical context. The key aspect of the Functional maps framework is that it moves the estimation of correspondences from the shape space to the functional space enhancing the potential of spectral analysis. Moreover, we propose a new kernel, called the Functional maps kernel (FM-kernel) for the Support Vector Machine (SVM) classification that is specifically designed to work on the functional space. The obtained results for bipolar disorder detection on the putamen regions are promising in comparison with other spectral-based approaches.

Keywords

Spectral shape analysis Functional maps Brain classification Diseases and disorders detection 

Copyright information

© Springer International Publishing AG 2016

Authors and Affiliations

  • Simone Melzi
    • 1
  • Alessandro Mella
    • 1
  • Letizia Squarcina
    • 2
  • Marcella Bellani
    • 3
  • Cinzia Perlini
    • 4
  • Mirella Ruggeri
    • 3
  • Carlo Alfredo Altamura
    • 5
  • Paolo Brambilla
    • 5
    • 6
  • Umberto Castellani
    • 1
  1. 1.Computer ScienceUniversity of VeronaVeronaItaly
  2. 2.Scientific Institute IRCCS E. MedeaBosisio PariniItaly
  3. 3.Section of PsychiatryAOUI VeronaVeronaItaly
  4. 4.Section of Clinical Psychology, Department of Neuroscience, Biomedicine and Movement SciencesUniversity of VeronaVeronaItaly
  5. 5.Department of Neurosciences and Mental Health, Fondazione IRCCS Ca Granda Ospedale Maggiore PoliclinicoUniversity of MilanMilanItaly
  6. 6.Department of Psychiatry and Behavioural SciencesUniversity of Texas Health Science CenterHoustonUSA

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