Assessment of similarity indices to quantify segmentation accuracy of scaffold images for tissue engineering

Srinivasan Rajagopalan, Richard Robb

Research output: Contribution to journalConference article

5 Scopus citations

Abstract

Existing similarity metrics to compare the accuracy of n-Dimensional image segmentation with the corresponding ground truth is restricted to a limited set of volume fractions which, by themselves, lack robustness. This paper introduces a comprehensive list of linear and non-linear similarity measures widely used in such diverse fields as ecology, toxicology and patent trending. These metrics based on the binary "absence/presence" data were computed for assessing the delineation of tissue engineering scaffold images into porous and polymeric space using a wide variety of thresholding techniques.

Original languageEnglish (US)
Article number189
Pages (from-to)1636-1647
Number of pages12
JournalProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume5747
Issue numberIII
DOIs
StatePublished - Aug 25 2005
EventMedical Imaging 2005 - Image Processing - San Diego, CA, United States
Duration: Feb 13 2005Feb 17 2005

Keywords

  • Delineation
  • Porous scaffolds
  • Segmentation
  • Similarity index
  • Tissue engineering

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Radiology Nuclear Medicine and imaging

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