Preparation of 2D sequences of corneal images for 3D model building
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.
|Authors||Elbita, Abdulhakim, Qahwaji, Rami, Ipson, Stanley, Sharif, M. and Ghanchi, Faruque|
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.
|Keywords||Artificial neural networks; Confocal microscopy; Classification; Registration; Segmentation; Z-ring adapter|
|Journal||Computer Methods and Programs in Biomedicine|
|Journal citation||114 (2), pp. 194-205|
|Accepted author manuscript|
|Digital Object Identifier (DOI)||doi:10.1016/j.cmpb.2014.01.009|
|05 Mar 2015|
|Publication process dates|
|Deposited||06 Mar 2017|
|Accepted||08 Jan 2014|
|Copyright information||© 2014 Elsevier.|
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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