Preparation of 2D sequences of corneal images for 3D model building

Article


Elbita, Abdulhakim, Qahwaji, Rami, Ipson, Stanley, Sharif, M. and Ghanchi, Faruque 2015. Preparation of 2D sequences of corneal images for 3D model building. Computer Methods and Programs in Biomedicine. 114 (2), pp. 194-205.
AuthorsElbita, Abdulhakim, Qahwaji, Rami, Ipson, Stanley, Sharif, M. and Ghanchi, Faruque
Abstract

A confocal microscope provides a sequence of images, at incremental depths, of the various corneal layers and structures. From these, medical practioners can extract clinical information on the state of health of the patient's cornea. In this work we are addressing problems associated with capturing and processing these images including blurring, non-uniform illumination and noise, as well as the displacement of images laterally and in the anterior–posterior direction caused by subject movement. The latter may cause some of the captured images to be out of sequence in terms of depth. In this paper we introduce automated algorithms for classification, reordering, registration and segmentation to solve these problems. The successful implementation of these algorithms could open the door for another interesting development, which is the 3D modelling of these sequences.

KeywordsArtificial neural networks; Confocal microscopy; Classification; Registration; Segmentation; Z-ring adapter
JournalComputer Methods and Programs in Biomedicine
Journal citation114 (2), pp. 194-205
ISSN0169-2607
1872-7565
Year2015
PublisherElsevier
Accepted author manuscript
License
CC BY-NC-ND
Digital Object Identifier (DOI)doi:10.1016/j.cmpb.2014.01.009
Publication dates
Print05 Mar 2015
Publication process dates
Deposited06 Mar 2017
Accepted08 Jan 2014
Copyright information© 2014 Elsevier.
Additional information

Acknowledgments: F. Scarpa, D. Fiorin, A. Ruggeri. “In Vivo Three-Dimensional Reconstruction of the Corneal from Confocal Microscopy Images”. Proc. 29th IEEE EMBS Annual International Conference, City Internationale, Lyon, France, Aug 23–26, pp. 747–750, 2007.

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