Quantitative evaluation of retinal tumor volume in mouse model of retinoblastoma by using ultra high-resolution optical coherence tomography

Marco Ruggeri, Hassan Wehbe, Gavriil Tsechpenakis, Shuliang Jiao, Maria Elena Jockovich, Colleen Cebulla, Eleut Hernandez, Timothy G. Murray, Carmen A. Puliafito

Research output: Contribution to journalArticle

5 Scopus citations

Abstract

An ultra high resolution spectral-domain optical coherence tomography (SD-OCT) together with an advanced animal restraint and positioning system was built for noninvasive non-contact in vivo three-dimensional imaging of rodent models of ocular diseases. The animal positioning system allowed the operator to rapidly locate and switch the areas of interest on the retina. This function together with the capability of precise spatial registration provided by the generated OCT fundus image allows the system to locate and compare the same lesion (retinal tumor in the current study) at different time point throughout the entire course of the disease progression. An algorithm for fully automatic segmentation of the tumor boundaries and calculation of tumor volume was developed. The system and algorithm were successfully applied to monitoring retinal tumor growth quantitatively over time in the LHBETAT AG mouse model of retinoblastoma.

Original languageEnglish (US)
Pages (from-to)17-28
Number of pages12
JournalJournal of Innovative Optical Health Sciences
Volume1
Issue number1
DOIs
StatePublished - Jun 1 2008

Keywords

  • 3D imaging
  • image segmentation
  • mouse models
  • optical coherence tomography
  • retina

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Medicine (miscellaneous)
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering

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