Geometric steerable medial maps

Sergio Vera, Debora Gil, Agnés Borràs, Marius George Linguraru, Miguel Angel González Ballester

Research output: Contribution to journalArticleResearchpeer-review

6 Citations (Scopus)

Abstract

To provide more intuitive and easily interpretable representations of complex shapes/organs, medial manifolds should reach a compromise between simplicity in geometry and capability of restoring the anatomy/shape of the organ/volume. Existing morphological methods show excellent results when applied to 2D objects, but their quality drops across dimensions. This paper contributes to the computation of medial manifolds from a theoretical and a practical point of view. First, we introduce a continuous operator for accurate and efficient computation of medial structures of arbitrary dimension. Second, we present a validation protocol for assessing the suitability of medial surfaces for anatomical representation in medical applications. We evaluate quantitatively the performance of our method with respect to existing approaches and show its higher performance for medical imaging applications in terms of medial simplicity and capability of reconstructing the anatomical volume. © 2013 Springer-Verlag Berlin Heidelberg.
Original languageEnglish
Pages (from-to)1255-1266
JournalMachine Vision and Applications
Volume24
DOIs
Publication statusPublished - 1 Aug 2013

Keywords

  • Comparison
  • Medial manifolds
  • Medial representations
  • Reconstruction
  • Surface

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