title: Preparation of 2D sequences of corneal images for 3D model building.
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.
authors.affiliation: Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK; Faculty of Information Technology, University of Misurata, Misurata, Libya. Electronic address: aelbita@student.bradford.ac.uk.
authors.forename: Abdulhakim
authors.initials: A
authors.lastname: Elbita
authors.affiliation: Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK. Electronic address: R.S.R.Qahwaji@bradford.ac.uk.
authors.forename: Rami
authors.initials: R
authors.lastname: Qahwaji
authors.affiliation: Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK. Electronic address: S.S.Ipson@Bradford.ac.uk.
authors.forename: Stanley
authors.initials: S
authors.lastname: Ipson
authors.affiliation: Centre for Visual Computing, University of Bradford, Bradford BD7 1DP, UK. Electronic address: m.s.sharif3@bradford.ac.uk.
authors.forename: Mhd Saeed
authors.initials: MS
authors.lastname: Sharif
authors.affiliation: Ophthalmology Unit, Bradford Teaching Hospitals NHS Foundation Trust, UK.
authors.forename: Faruque
authors.initials: F
authors.lastname: Ghanchi
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D003315:Cornea / Q000033:anatomy & histology*; D006801:Humans; D021621:Imaging, Three-Dimensional / Q000706:statistics & numerical data*; D018613:Microscopy, Confocal / Q000295:instrumentation / Q000706:statistics & numerical data; D008953:Models, Anatomic; D016571:Neural Networks, Computer
keywords: Artificial neural networks; Classification; Confocal microscopy; Registration; Segmentation; Z-ring adapter