Statistics of optical coherence tomography data from human retina

Norberto Mauricio Grzywacz, Joaquín De Juan, Claudia Ferrone, Daniela Giannini, David Huang, Giorgio Koch, Valentina Russo, Ou Tan, Carlo Bruni

Research output: Contribution to journalArticle

22 Citations (Scopus)

Abstract

Optical coherence tomography (OCT) has recently become one of the primary methods for noninvasive probing of the human retina. The pseudoimage formed by OCT (the so-called B-scan) varies probabilistically across pixels due to complexities in the measurement technique. Hence, sensitive automatic procedures of diagnosis using OCT may exploit statistical analysis of the spatial distribution of reflectance. In this paper, we perform a statistical study of retinal OCT data. We find that the stretched exponential probability density function can model well the distribution of intensities in OCT pseudoimages. Moreover, we show a small, but significant correlation between neighbor pixels when measuring OCT intensities with pixels of about 5 μm. We then develop a simple joint probability model for the OCT data consistent with known retinal features. This model fits well the stretched exponential distribution of intensities and their spatial correlation. In normal retinas, fit parameters of this model are relatively constant along retinal layers, but varies across layers. However, in retinas with diabetic retinopathy, large spikes of parameter modulation interrupt the constancy within layers, exactly where pathologies are visible. We argue that these results give hope for improvement in statistical pathology-detection methods even when the disease is in its early stages.

Original languageEnglish (US)
Article number5432977
Pages (from-to)1224-1237
Number of pages14
JournalIEEE Transactions on Medical Imaging
Volume29
Issue number6
DOIs
StatePublished - Jun 2010
Externally publishedYes

Fingerprint

Optical tomography
Optical Coherence Tomography
Retina
Statistics
Pixels
Pathology
Spatial Analysis
Diabetic Retinopathy
Probability density function
Spatial distribution
Statistical methods
Modulation

Keywords

  • Diabetic retinopathy
  • Maximum likelihood detection
  • Optical coherence tomography
  • Stretched exponential distribution
  • Visual system

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Computer Science Applications
  • Radiological and Ultrasound Technology
  • Software

Cite this

Grzywacz, N. M., De Juan, J., Ferrone, C., Giannini, D., Huang, D., Koch, G., ... Bruni, C. (2010). Statistics of optical coherence tomography data from human retina. IEEE Transactions on Medical Imaging, 29(6), 1224-1237. [5432977]. https://doi.org/10.1109/TMI.2009.2038375

Statistics of optical coherence tomography data from human retina. / Grzywacz, Norberto Mauricio; De Juan, Joaquín; Ferrone, Claudia; Giannini, Daniela; Huang, David; Koch, Giorgio; Russo, Valentina; Tan, Ou; Bruni, Carlo.

In: IEEE Transactions on Medical Imaging, Vol. 29, No. 6, 5432977, 06.2010, p. 1224-1237.

Research output: Contribution to journalArticle

Grzywacz, NM, De Juan, J, Ferrone, C, Giannini, D, Huang, D, Koch, G, Russo, V, Tan, O & Bruni, C 2010, 'Statistics of optical coherence tomography data from human retina', IEEE Transactions on Medical Imaging, vol. 29, no. 6, 5432977, pp. 1224-1237. https://doi.org/10.1109/TMI.2009.2038375
Grzywacz NM, De Juan J, Ferrone C, Giannini D, Huang D, Koch G et al. Statistics of optical coherence tomography data from human retina. IEEE Transactions on Medical Imaging. 2010 Jun;29(6):1224-1237. 5432977. https://doi.org/10.1109/TMI.2009.2038375
Grzywacz, Norberto Mauricio ; De Juan, Joaquín ; Ferrone, Claudia ; Giannini, Daniela ; Huang, David ; Koch, Giorgio ; Russo, Valentina ; Tan, Ou ; Bruni, Carlo. / Statistics of optical coherence tomography data from human retina. In: IEEE Transactions on Medical Imaging. 2010 ; Vol. 29, No. 6. pp. 1224-1237.
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