Exploratory Characterization of Outliers in a Multi-centre 1H-MRS Brain Tumour Dataset

  • Alfredo Vellido
  • Margarida Julià-Sapé
  • Enrique Romero
  • Carles Arús
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5178)

Abstract

As part of the AIDTumour research project, the analysis of MRS data corresponding to various tumour pathologies is used to assist expert diagnosis. The high dimensionality of the MR spectra might obscure atypical aspects of the data that would jeopardize their automated classification and, as a result, the process of computer-based diagnostic assistance. In this paper, we put forward a method to overcome this potential problem that combines automatic outlier detection, visualization through dimensionality reduction, and expert opinion.

Keywords

Proton Magnetic Resonance Spectroscopy Brain Tumours Outlier Detection Data exploration Data Visualization Dimensionality Reduction Medical Decision Support Systems 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Alfredo Vellido
    • 1
  • Margarida Julià-Sapé
    • 2
    • 3
  • Enrique Romero
    • 1
  • Carles Arús
    • 3
    • 2
  1. 1.Dept. de Llenguatges i Sistemes InformàticsUniversitat Politècnica de CatalunyaBarcelonaSpain
  2. 2.Centro de Investigación Biomédica en Red en Bioingeniería, Biomaterialesy, Nanomedicina (CIBER-BBN), Cerdanyola del VallèsSpain
  3. 3.Grup d’Aplicacions Biomèdiques de la RMN (GABRMN) Departament de Bioquímica i Biología Molecular (BBM). Unitat de BiociènciesUniversitat Autònoma de Barcelona (UAB)Cerdanyola del VallèsSpain

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