Surface area estimation in practice

Guy Windreich, Nahum Kiryati, Gabriele Lohmann

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

Consider a complex, convoluted three dimensional object that has been digitized and is available as a set of voxels. We describe a fast, practical scheme for delineating a region of interest on the surface of the object and estimating its original area. The voxel representation is maintained and no triangulation is carried out. The methods presented rely on a theoretical result of Mullikin and Verbeek, and bridge the gap between their idealized setting and the harsh reality of 3D medical data. Performance evaluation results are provided, and operation on segmented white matter MR brain data is demonstrated.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsIngela Nystrom, Gabriella Sanniti di Baja, Stina Svensson
PublisherSpringer Verlag
Pages358-367
Number of pages10
ISBN (Electronic)3540204997, 9783540204992
DOIs
StatePublished - 2003

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume2886
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Keywords

  • Digital geometry
  • Morphometric measurements
  • Segmented white matter
  • Surface area estimation
  • Voxels objects

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