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

doi:10.1142/S1793545808000066

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

Ophthalmology

Research output: Contribution to journal › Article › peer-review

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 LH_BETAT _AG mouse model of retinoblastoma.

Original language	English (US)
Pages (from-to)	17-28
Number of pages	12
Journal	Journal of Innovative Optical Health Sciences
Volume	1
Issue number	1
DOIs	https://doi.org/10.1142/S1793545808000066
State	Published - Jun 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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Ruggeri, M., Wehbe, H., Tsechpenakis, G., Jiao, S., Jockovich, M. E., Cebulla, C., Hernandez, E., Murray, T. G., & Puliafito, C. A. (2008). Quantitative evaluation of retinal tumor volume in mouse model of retinoblastoma by using ultra high-resolution optical coherence tomography. Journal of Innovative Optical Health Sciences, 1(1), 17-28. https://doi.org/10.1142/S1793545808000066

Quantitative evaluation of retinal tumor volume in mouse model of retinoblastoma by using ultra high-resolution optical coherence tomography. / Ruggeri, Marco; Wehbe, Hassan; Tsechpenakis, Gavriil; Jiao, Shuliang; Jockovich, Maria Elena; Cebulla, Colleen; Hernandez, Eleut; Murray, Timothy G.; Puliafito, Carmen A.

In: Journal of Innovative Optical Health Sciences, Vol. 1, No. 1, 06.2008, p. 17-28.

Research output: Contribution to journal › Article › peer-review

Ruggeri, M, Wehbe, H, Tsechpenakis, G, Jiao, S, Jockovich, ME, Cebulla, C, Hernandez, E, Murray, TG & Puliafito, CA 2008, 'Quantitative evaluation of retinal tumor volume in mouse model of retinoblastoma by using ultra high-resolution optical coherence tomography', Journal of Innovative Optical Health Sciences, vol. 1, no. 1, pp. 17-28. https://doi.org/10.1142/S1793545808000066

Ruggeri, Marco ; Wehbe, Hassan ; Tsechpenakis, Gavriil ; Jiao, Shuliang ; Jockovich, Maria Elena ; Cebulla, Colleen ; Hernandez, Eleut ; Murray, Timothy G. ; Puliafito, Carmen A. / Quantitative evaluation of retinal tumor volume in mouse model of retinoblastoma by using ultra high-resolution optical coherence tomography. In: Journal of Innovative Optical Health Sciences. 2008 ; Vol. 1, No. 1. pp. 17-28.

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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.",

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

Abstract

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