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

Srinivasan Rajagopalan, Richard Robb

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

5 Citations (Scopus)

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)
Title of host publicationProgress in Biomedical Optics and Imaging - Proceedings of SPIE
EditorsJ.M. Fitzpatrick, J.M. Reinhardt
Pages1636-1647
Number of pages12
Volume5747
EditionIII
DOIs
StatePublished - 2005
EventMedical Imaging 2005 - Image Processing - San Diego, CA, United States
Duration: Feb 13 2005Feb 17 2005

Other

OtherMedical Imaging 2005 - Image Processing
CountryUnited States
CitySan Diego, CA
Period2/13/052/17/05

Fingerprint

Ecology
Scaffolds (biology)
Image segmentation
Tissue engineering
Volume fraction

Keywords

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

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Rajagopalan, S., & Robb, R. (2005). Assessment of similarity indices to quantify segmentation accuracy of scaffold images for tissue engineering. In J. M. Fitzpatrick, & J. M. Reinhardt (Eds.), Progress in Biomedical Optics and Imaging - Proceedings of SPIE (III ed., Vol. 5747, pp. 1636-1647). [189] https://doi.org/10.1117/12.594654

Assessment of similarity indices to quantify segmentation accuracy of scaffold images for tissue engineering. / Rajagopalan, Srinivasan; Robb, Richard.

Progress in Biomedical Optics and Imaging - Proceedings of SPIE. ed. / J.M. Fitzpatrick; J.M. Reinhardt. Vol. 5747 III. ed. 2005. p. 1636-1647 189.

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

Rajagopalan, S & Robb, R 2005, Assessment of similarity indices to quantify segmentation accuracy of scaffold images for tissue engineering. in JM Fitzpatrick & JM Reinhardt (eds), Progress in Biomedical Optics and Imaging - Proceedings of SPIE. III edn, vol. 5747, 189, pp. 1636-1647, Medical Imaging 2005 - Image Processing, San Diego, CA, United States, 2/13/05. https://doi.org/10.1117/12.594654
Rajagopalan S, Robb R. Assessment of similarity indices to quantify segmentation accuracy of scaffold images for tissue engineering. In Fitzpatrick JM, Reinhardt JM, editors, Progress in Biomedical Optics and Imaging - Proceedings of SPIE. III ed. Vol. 5747. 2005. p. 1636-1647. 189 https://doi.org/10.1117/12.594654
Rajagopalan, Srinivasan ; Robb, Richard. / Assessment of similarity indices to quantify segmentation accuracy of scaffold images for tissue engineering. Progress in Biomedical Optics and Imaging - Proceedings of SPIE. editor / J.M. Fitzpatrick ; J.M. Reinhardt. Vol. 5747 III. ed. 2005. pp. 1636-1647
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