Skip to main content

Spatiotemporal Analysis of Structural Changes of the Lamina Cribrosa

  • Conference paper
  • First Online:
Fetal, Infant and Ophthalmic Medical Image Analysis (OMIA 2017, FIFI 2017)

Abstract

Glaucoma, a progressive and degenerative disease of the optic nerve, is the second leading cause of blindness worldwide. Mechanical deformation of the lamina cribrosa (LC) under high intraocular pressure (IOP) can lead to axonal death of optic nerve fibers. To explore the effect of pressure on the LC, we utilize an experimental setup where longitudinal 3D optical coherence tomography (OCT) images are acquired at different levels of IOP administered via a well-controlled external force. Structural changes are measured via image deformations which map all observed images simultaneously into a common coordinate space. These deformations encode local patterns of structural and volume change across the image sequence, resulting in quantification of the spatiotemporal deformation pattern of the LC due to variation of pressure. We also describe a 3D segmentation algorithm to restrict our deformation analysis separately to the beams or pores of the LC. A single case study demonstrates the potential of the proposed methodology for non-invasive in-vivo analysis of LC dynamics in individual subjects.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Quigley, H.A., Broman, A.T.: The number of people with glaucoma worldwide in 2010 and 2020. Br. J. Ophthalmol. 90(3), 262–267 (2006)

    Article  Google Scholar 

  2. Burgoyne, C.F., Downs, J.C., Bellezza, A.J., Suh, J.K.F., Hart, R.T.: The optic nerve head as a biomechanical structure: a new paradigm for understanding the role of IOP-related stress and strain in the pathophysiology of glaucomatous optic nerve head damage. Prog. Retinal Eye Res. 24(1), 39–73 (2005)

    Article  Google Scholar 

  3. Drexler, W., Fujimoto, J.G.: State-of-the-art retinal optical coherence tomography. Prog. Retinal Eye Res. 27(1), 45–88 (2008)

    Article  Google Scholar 

  4. Gabriele, M.L., Wollstein, G., Ishikawa, H., Xu, J., Kim, J., Kagemann, L., Folio, L., Schuman, J.: Three dimensional optical coherence tomography imaging: advantages and advances. Prog. Retinal Eye Res. 29(6), 556–579 (2010)

    Article  Google Scholar 

  5. Gabriele, M.L., Wollstein, G., Ishikawa, H., Kagemann, L., Xu, J., Folio, L.S., Schuman, J.S.: Optical coherence tomography: history, current status, and laboratory work. Invest. Ophthalmol. Vis. Sci. 52(5), 2425–2436 (2011)

    Article  Google Scholar 

  6. Tran, H., Voorhees, A.P., Wang, B., Jan, N.J., Tyler-Kabara, E., Kagemann, L., Ishikawa, H., Schuman, J.S., Smith, M.A., Wollstein, G., et al.: In-vivo modulation of intraocular and intracranial pressures causes nonlinear and non-monotonic deformations of the lamina cribrosa. Invest. Ophthalmol. Vis. Sci. 57(12), 3565–3565 (2016)

    Google Scholar 

  7. Chen, C., Ishikawa, H., Wollstein, G., Bilonick, R., Kagemann, L., Schuman, J.: Virtual averaging making nonframe-averaged optical coherence tomography images comparable to frame-averaged images. Trans. Vis. Sci. Techol. 5(1) (2016)

    Google Scholar 

  8. Dabov, K., Foi, A., Katkovnik, V., Egiazarian, K.: BM3D image denoising with shape-adaptive principal component analysis. In: SPARS (2009)

    Google Scholar 

  9. Joshi, S., Davis, B., Jomier, M., Gerig, G.: Unbiased diffeomorphic atlas construction for computational anatomy. NeuroImage 23, S151–S160 (2004)

    Article  Google Scholar 

  10. Avants, B.B., Yushkevich, P.A., Pluta, J., Minkoff, D., Korczykowski, M., Detre, J.A., Gee, J.C.: The optimal template effect in hippocampus studies of diseased populations. NeuroImage 49(3), 2457–2466 (2010)

    Article  Google Scholar 

  11. Avants, B.B., Tustison, N., Song, G.: Advanced normalization tools (ants). Insight J. 2, 1–35 (2009)

    Google Scholar 

  12. Antiga, L.: Generalizing vesselness with respect to dimensionality and shape. Insight J. (2007). http://hdl.handle.net/1926/576

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to James Fishbaugh .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2017 Springer International Publishing AG

About this paper

Cite this paper

Girot, C., Ishikawa, H., Fishbaugh, J., Wollstein, G., Schuman, J., Gerig, G. (2017). Spatiotemporal Analysis of Structural Changes of the Lamina Cribrosa. In: Cardoso, M., et al. Fetal, Infant and Ophthalmic Medical Image Analysis. OMIA FIFI 2017 2017. Lecture Notes in Computer Science(), vol 10554. Springer, Cham. https://doi.org/10.1007/978-3-319-67561-9_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-67561-9_21

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-67560-2

  • Online ISBN: 978-3-319-67561-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics