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
Country/TerritoryPortugal
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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