Shortest path adjusted similarity metrics for resolving boundary perturbations in scaffold images for tissue engineering

Srinivasan Rajagopalan, Richard Robb

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The degree of match between the delineation result produced by a segmentation technique and the ground truth can be assessed using robust "presence-absence" resemblance measures. Previously [1], we had investigated and introduced an exhaustive list of similarity indices for assessing multiple segmentation techniques. However, these measures are highly sensitive to even minor boundary perturbations which imminently manifest in the segmentations of random biphasic spaces reminiscent of the stochastic pore-solid distributions in the tissue engineering scaffolds. This paper investigates the ideas adapted from ecology to emphasize global resemblances and ignore minor local dissimilarities. It uses concepts from graph theory to perform controlled local mutations in order to maximize the similarities. The effect of this adjustment is investigated on a comprehensive list (forty nine) of similarity indices sensitive to the over- and underestimation errors associated with image delineation tasks.

Original languageEnglish (US)
Title of host publicationMedical Imaging 2006
Subtitle of host publicationImage Processing
DOIs
StatePublished - Jun 22 2006
EventMedical Imaging 2006: Image Processing - San Diego, CA, United States
Duration: Feb 13 2006Feb 16 2006

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume6144 II
ISSN (Print)1605-7422

Other

OtherMedical Imaging 2006: Image Processing
CountryUnited States
CitySan Diego, CA
Period2/13/062/16/06

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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

Cite this

Rajagopalan, S., & Robb, R. (2006). Shortest path adjusted similarity metrics for resolving boundary perturbations in scaffold images for tissue engineering. In Medical Imaging 2006: Image Processing [61444E] (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 6144 II). https://doi.org/10.1117/12.654000