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Automatic quantification of changes in the volume of brain structures

  • Guillaume Calmon
  • Neil Roberts
  • Paul Eldridge
  • Jean-Philippe Thirion
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1496)

Abstract

We present an automatic technique to quantify changes in the volume of cerebral structures. The only manual step is a segmentation of the structure of interest in the first image. The image analysis comprises: i) a precise rigid co-registration of the time series of images, ii) the computation of residual deformations betweens pairs of images. Automatic quantification can be obtained either by propagation of the segmentation or by integration of the deformation field. These approaches have been applied to monitor brain atrophy in one patient and to investigate a ‘mass effect’ in tissue surrounding a brain tumour in four patients undergoing radiotherapy. Segmentation propagation gave good results for quantifying contrasted structures such as ventricles or well-circumscribed tumours; however, integration of the deformations may be more appropriate to quantify diffusive tumours.

Keywords

Lateral Ventricle Mass Effect Deformation Field Primary Progressive Aphasia Segmentation Propagation 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1998

Authors and Affiliations

  • Guillaume Calmon
    • 1
  • Neil Roberts
    • 1
  • Paul Eldridge
    • 2
  • Jean-Philippe Thirion
    • 3
  1. 1.Magnetic Resonance and Image Analysis Research Centre (MARIARC)University of LiverpoolUK
  2. 2.Walton Centre for Neurology and NeurosurgeryLiverpoolUK
  3. 3.Épidaure ProjectInstitut National de Recherche en Informatique et en Automatique (INRIA)Sophia AntipolisFrance

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