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Means of 2D and 3D Shapes and Their Application in Anatomical Atlas Building

  • Juan DomingoEmail author
  • Esther Dura
  • Guillermo Ayala
  • Silvia Ruiz-España
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9256)

Abstract

This works deals with the concept of mean when applied to 2D or 3D shapes and with its applicability to the construction of digital atlases to be used in digital anatomy. Unlike numerical data, there are several possible definitions of the mean of a shape distribution and procedures for its estimation from a sample of shapes. Most popular definitions are based in the distance function or in the coverage function, each with its strengths and limitations. Closely related to the concept of mean shape is the concept of atlas, here understood as a probability or membership map that tells how likely is that a point belongs to a shape drawn from the shape distribution at hand. We devise a procedure to build probabilistic atlases from a sample of similar segmented shapes using information simultaneously from both functions: the distance and the coverage. Applications of the method in digital anatomy are provided as well as experiments to show the advantages of the proposed method regarding state of the art techniques based on the coverage function.

Keywords

Probabilistic atlas Mean shapes Medical image segmentation 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Juan Domingo
    • 1
    Email author
  • Esther Dura
    • 1
  • Guillermo Ayala
    • 2
  • Silvia Ruiz-España
    • 3
  1. 1.Dpto. de Informática, Escuela de IngenieríasUniversity of ValenciaBurjasotSpain
  2. 2.Dpto. de Estadística e I.O., Facultad de MatemáticasUniversity of ValenciaValenciaSpain
  3. 3.Center of Biomaterials and Tissue EngineeringPolytechnic University of ValenciaValenciaSpain

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