Automated tri-image analysis of stored corneal endothelium

Gain, Philippe; Thuret, Gilles; Kodjikian, Laurent; Gavet, Yann; Turc, Philipe; Théillère, C; Acquart, Sophie; Petit, J C Le; Maugery, J; Campos, Luana Moraes

doi:10.1136/bjo.86.7.801

Cited by 50 publications

(52 citation statements)

References 30 publications

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“…The authors of [16] have developed an analyser with tools for automatic error detection and correction, and for measuring endothelial cell density (ECD) and performing morphometry on multiple zones of three images of the endothelial mosaic.…”

Section: Current Technical Endothelium Related Researchmentioning

confidence: 99%

An efficient intelligent analysis system for confocal corneal endothelium images

Sharif

Qahwaji

Shahamatnia

et al. 2015

Computer Methods and Programs in Biomedicine

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A confocal microscope provides a sequence of images of the corneal layers and structures at different depths from which medical clinicians can extract clinical information on the state of health of the patient's cornea. Hybrid model based on snake and particle swarm optimisation (S-PSO) is proposed in this paper to analyse the confocal endothelium images. The proposed system is able to pre-process (quality enhancement, noise reduction), detect the cells, measure the cell density and identify abnormalities in the analysed data sets. Three normal corneal data sets acquired using confocal microscope, and two abnormal endothelium images associated with diseases have been investigated in the proposed system. Promising results are achieved and the performance of this system are compared with the performance of two morphological based approaches. The developed system can be deployed as clinical tool to underpin the expertise of ophthalmologists in analysing confocal corneal images.

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Section: Current Technical Endothelium Related Researchmentioning

confidence: 99%

An efficient intelligent analysis system for confocal corneal endothelium images

Sharif

Qahwaji

Shahamatnia

et al. 2015

Computer Methods and Programs in Biomedicine

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show abstract

“…The process is achieved by a closing-opening morphological filtering using the GAN sets with the luminance criterion in the CLIP framework, followed by a watershed transformation. A comparison with the results provided by the SAMBA™ software, whose process is achieved by thresholding, filtering and skeletonization (Gain et al, 2002), is proposed (Fig. 11).…”

Section: Application To Human Endothelial Cornea Cell Optical Imagesmentioning

confidence: 99%

“…Ex vivo controls are done by optical microscopy on corneal button before grafting. That image acquisition equipment give gray tones images which are segmented (Gavet & Pinoli, 2008), for example by the SAMBA™ software (Gain et al, 2002), into regions representing cells. These ones are used to compute statistics in order to quantify the corneal quality before transplantation.…”

Section: Application To Human Endothelial Cornea Cell Optical Imagesmentioning

confidence: 99%

General Adaptive Neighborhood Image Processing for Biomedical Applications

Debayle¹,

Pinoli²

2011

Applied Biomedical Engineering

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“…The process is achieved by a closing-opening morphological filtering using the GAN sets with the luminance criterion in the CLIP framework, followed by a watershed transformation, denoted W . A comparison with the results provided by the SAMBA™ software, whose process is achieved by thresholding, filtering and skeletonization [22], is proposed (Fig. 5).…”

Section: Image Segmentationmentioning

confidence: 99%

“…Ex vivo controls are done by optical microscopy on corneal button before grafting. That image acquisition equipment give gray tones images which are segmented, for example by the SAMBA™ software [22], into regions representing cells. These ones are used to compute statistics in order to quantify the corneal quality before transplantation.…”

Section: Image Segmentationmentioning

confidence: 99%