Quantification of Retinopathy of Prematurity via Vessel Segmentation

  • Julien Jomier
  • David K. Wallace
  • Stephen R. Aylward
Part of the Lecture Notes in Computer Science book series (LNCS, volume 2879)


Retinopathy of prematurity is a disease that affects the eyes of many babies who are prematurely born. If the retinopathy is not detected in the days following birth blindness may occur. Studies have demonstrated that by observing the blood vessels within the retina, the disease can be quantified in an early stage and early treatment can save the baby’s eyes. We have developed a new tool to assess retinopathy of prematurity. Our technique captures images of the retina to extract and quantify both tortuosity and dilation of blood vessels. Our approach demonstrates a 80% sensitivity and 92% specificity in the prediction of retinopathy compared to experts and shows a significant reduced diagnosis time and clinical integration via speech recognition and glare detection.


Speech Recognition Reference Image Vessel Segmentation Retinal Blood Vessel Initial Starting Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


  1. 1.
    Aylward, S., Bullitt, E.: Initialization, Noise, Singularities, and Scale in Height-Ridge Traversal for Tubular Object Centerline Extraction. IEEE Transactions on Medical Imaging, 61–75 (Febraury 2002)Google Scholar
  2. 2.
    Cryotherapy for Retinopathy of Prematurity Cooperative Group: Multicenter trial of cryotherapy for retinopathy of prematurity: Preliminary results. Arch. Ophthalmos. 106, 471–479 (1988)Google Scholar
  3. 3.
    The Insight Toolkit: National Library of Medicine Insight Segmentation and Registration Toolkit,
  4. 4.
    Kylstra, J.A., Freedman, S.F., Capowsky, J.J., Hall, J.G.: Measurement of retinal vessel tortuosity as a means of diagnosis plus disease in ROP. Invest. Ophthalmol. Vis. Sci. 36, 77 (1995)Google Scholar
  5. 5.
    Leandro, J.J.G., Cesar Jr., R.M., Jeline, H.F.: Blood Vessels Segmentation in Retina: Preliminary Assessment of the Mathematical Morphology and of the Wavelet Transform Techniques SIBGRAPI 2001. In: XIV Brazilian Symposium on Computer Graphics and Image Processing, Florianópolis, Brazil, October 15-18 (2001)Google Scholar
  6. 6.
    Martinez-Perez, M.E., Hughes, A.D., Stanton, A.V., Thom, S.A., Bharath, A.A., Parker, K.H.: Retinal Blood Vessel Segmentation by means of Scale-Space Analysis and Region Growing. In: Proceedings of the Second International Conference on Medical Image Computing and Computer Assisted Intervention, Cambridge (1999)Google Scholar
  7. 7.
    Microsoft Speech Technologies,
  8. 8.
    Jomier, J.: Speech recognition library,
  9. 9.
    Wallace, D.K., Kylstra, J.A., Chesnutt, D.A.: Prognostic Significance of Vascular Dilation and Tortuosity Insufficient for Plus Disease in Retinopathy of Prematurity. American Association for Pediatric Ophthalmology and Strabismus (1999)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2003

Authors and Affiliations

  • Julien Jomier
    • 1
  • David K. Wallace
    • 2
  • Stephen R. Aylward
    • 1
  1. 1.Department of RadiologyComputer-Aided Diagnosis and Display Lab 
  2. 2.Department of OpthalmologyThe University of North Carolina at Chapel HillChapel HillUSA

Personalised recommendations