July 2018
Volume 59, Issue 9
Open Access
ARVO Annual Meeting Abstract  |   July 2018
Building a validated in vivo confocal microscopy (IVCM) dataset for the study of corneal nerves
Author Affiliations & Notes
  • Davide Borroni
    St. Paul’s Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom
    Department of Ophthalmology , Riga Stradins University , Riga, Latvia
  • Mike Beech
    St. Paul’s Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom
  • Bryan Williams
    Department of Eye and Vision Science, University of Liverpool, Liverpool, United Kingdom
  • Rongjun Liu
    Department of Ophthalmology, Peking University Third Hospital, Beijing, China
  • Yitian Zhao
    Ningbo Institute of Industrial Technology, Cixi Institute of Biomedical Engineering, Ningbo, China
    Department of Eye and Vision Science, University of Liverpool, Liverpool, United Kingdom
  • Baikai Ma
    Department of Ophthalmology, Peking University Third Hospital, Beijing, China
  • Vito Romano
    St. Paul’s Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom
  • Uazman Alam
    Clinical Sciences Centre, University Hospital Aintree, Institute of Ageing & Chronic Disease, Liverpool , United Kingdom
  • Hong Qi
    Department of Ophthalmology, Peking University Third Hospital, Beijing, China
  • Stephen B Kaye
    St. Paul’s Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom
    Department of Eye and Vision Science, University of Liverpool, Liverpool, United Kingdom
  • Yalin Zheng
    Department of Eye and Vision Science, University of Liverpool, Liverpool, United Kingdom
    St. Paul’s Eye Unit, Royal Liverpool University Hospital, Liverpool, United Kingdom
  • Footnotes
    Commercial Relationships   Davide Borroni, None; Mike Beech, None; Bryan Williams, None; Rongjun Liu, None; Yitian Zhao, None; Baikai Ma, None; Vito Romano, None; Uazman Alam, None; Hong Qi, None; Stephen Kaye, None; Yalin Zheng, None
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science July 2018, Vol.59, 5719. doi:
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      Davide Borroni, Mike Beech, Bryan Williams, Rongjun Liu, Yitian Zhao, Baikai Ma, Vito Romano, Uazman Alam, Hong Qi, Stephen B Kaye, Yalin Zheng; Building a validated in vivo confocal microscopy (IVCM) dataset for the study of corneal nerves. Invest. Ophthalmol. Vis. Sci. 2018;59(9):5719.

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      © ARVO (1962-2015); The Authors (2016-present)

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Abstract

Purpose : Corneal nerves are of great importance to both clinicians and scientists. In vivo confocal microscopy (IVCM) enables the non-invasive examination of corneal nerves. This allows the study of nerve alterations in different ocular diseases and in systemic diseases. However, there has been no corresponding increase in the availability of software tools to support the automatic analysis of corneal nerves. The primary reason for this is the lack of a validated dataset to support the development and evaluation of such tools. We propose to build and evaluate a new IVCM dataset for the automatic detection of corneal nerves.<div class="grammarly-disable-indicator"> </div>

Methods : 127 IVCM images were obtained using the Heidelberg Retina Tomograph 3/Rostock Cornea Module (Heidelberg Engineering, Heidelberg, Germany) from healthy normal corneas and corneas with various conditions. The corneal nerves in each image were manually traced independently by two clinical ophthalmologists (DB and MB) who were trained for the annotation task on an in-house Matlab programme (Matlab R14; The Mathworks Inc., Natick, MA). In order to evaluate repeatability, all the images were traced again by the same two observers after a two week period. Intra- and inter-observer agreement were assessed using mean Hausdorff Distance (mHD), which describes, in terms of microns (um), the pointwise minimal distance between two annotations. Since our data contains nerves which are up to in diameter, a mHD value of was deemed as excellent agreement. <div class="grammarly-disable-indicator"> </div>

Results : Excellent results were achieved for both inter- and intra-observer agreement. The mean mHD distance to observer one’s first annotation from his second was and similarly the mean mHD for the second observer’s annotations was . Between the two graders, the distances were and for the first and second annotations respectively.<div class="grammarly-disable-indicator"> </div>

Conclusions : Our results have demonstrated that this dataset is valid for the development of automated techniques for the detection of corneal nerves in IVCM images. We are planning to release this dataset to the research community that is interested in the study of corneal nerves in relation to eye disease and systemic disease.<div class="grammarly-disable-indicator"> </div>

This is an abstract that was submitted for the 2018 ARVO Annual Meeting, held in Honolulu, Hawaii, April 29 - May 3, 2018.

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