A novel template-based approach to the segmentation of the hippocampal region

M. Aiello, P. Calvini, A. Chincarini, M. Esposito, G. Gemme, F. Isgrò, R. Prevete, M. Santoro, S. Squarcia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The work described in this document is part of a major work aiming at a complete pipeline for the extraction of clinical parameters from MR images of the brain, for the diagnosis of neuro-degenerative diseases. A key step in this pipeline is the identification of a box containing the hippocampus and surrounding medial temporal lobe regions from T1-weighted magnetic resonance images, with no interactive input from the user. To this end we introduced in the existing pipeline a module for the segmentation of brain tissues based on a constrained Gaussians mixture model (CGMM), and a novel method for generating templates of the hippocampus. The templates are then combined in order to obtain only one template mask. This template mask is used, with a mask of the grey matter of the brain, for determining the hippocampus. The results have been visually evaluated by a small set of experts, and have been judged as satisfactory. A complete and exhaustive evaluation of the whole system is being planned.

Original languageEnglish
Title of host publicationComputational Methods in Applied Sciences
PublisherSpringer Netherland
Pages229-246
Number of pages18
Volume19
ISBN (Print)9789400700109
DOIs
Publication statusPublished - 2011
Event2nd ECCOMAS Thematic Conference on Computational Vision andMedical Image processing, VIPimage 2009 - Porto, Portugal
Duration: Oct 14 2009Oct 16 2009

Publication series

NameComputational Methods in Applied Sciences
Volume19
ISSN (Print)18713033

Other

Other2nd ECCOMAS Thematic Conference on Computational Vision andMedical Image processing, VIPimage 2009
CountryPortugal
CityPorto
Period10/14/0910/16/09

Keywords

  • Hippocampus segmentation
  • Image analysis
  • Magnetic resonance

ASJC Scopus subject areas

  • Computational Mathematics
  • Modelling and Simulation
  • Fluid Flow and Transfer Processes
  • Computer Science Applications
  • Civil and Structural Engineering
  • Electrical and Electronic Engineering
  • Biomedical Engineering

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