Biomedical subjects

Keith A Goatman

Publications and source records attributed to Keith A Goatman.

6 recordsLinked to original sources

PubMed2006

Automatic detection of retinal anatomy to assist diabetic retinopathy screening.

Screening programmes for diabetic retinopathy are being introduced in the United Kingdom and elsewhere. These require large numbers of retinal images to be manually graded for the presence of disease. Automation of image grading would have a number of benefits. However, an important prerequisite for automation is the accurate location of the main anatomical features in the image, notably the optic disc and the fovea. The locations of these features are necessary so that lesion significance, image field of view and image clarity can be assessed. This paper describes methods for the robust location of the optic disc and fovea. The elliptical form of the major retinal blood vessels is used to obtain approximate locations, which are refined based on the circular edge of the optic disc and the local darkening at the fovea. The methods have been tested on 1056 sequential images from a retinal screening programme. Positional accuracy was better than 0.5 of a disc diameter in 98.4% of cases for optic disc location, and in 96.5% of cases for fovea location. The methods are sufficiently accurate to form an important and effective component of an automated image grading system for diabetic retinopathy screening.

Automation↗

PubMed2006

Automated microaneurysm detection using local contrast normalization and local vessel detection.

Screening programs using retinal photography for the detection of diabetic eye disease are being introduced in the UK and elsewhere. Automatic grading of the images is being considered by health boards so that the human grading task is reduced. Microaneurysms (MAs) are the earliest sign of this disease and so are very important for classifying whether images show signs of retinopathy. This paper describes automatic methods for MA detection and shows how image contrast normalization can improve the ability to distinguish between MAs and other dots that occur on the retina. Various methods for contrast normalization are compared. Best results were obtained with a method that uses the watershed transform to derive a region that contains no vessels or other lesions. Dots within vessels are handled successfully using a local vessel detection technique. Results are presented for detection of individual MAs and for detection of images containing MAs. Images containing MAs are detected with sensitivity 85.4% and specificity 83.1%.

Algorithms↗

PubMed2006

Automated assessment of diabetic retinal image quality based on clarity and field definition.

PURPOSE: To evaluate the performance of an automated retinal image quality assessment system for use in automated diabetic retinopathy grading. METHODS: Algorithmic methods have been developed for assessing the quality of 45 degrees single field retinal images for use in diabetic retinopathy screening. For this purpose, image quality was defined by two aspects: image clarity and field definition. An image with adequate clarity was defined as one that shows sufficient detail for automated retinopathy grading. The visibility of the macular vessels was used as an indicator of image clarity, since these vessels are known to be narrow and become less visible with any image degradation. An image with adequate field definition was defined as one that shows the desired field of view for retinopathy grading, including the full 45 degrees field of view, the optic disc, and at least two optic disc diameters of visible retina around the fovea. From 489 patients attending a diabetic retinopathy screening program, 1039 retinal images were obtained. The images were graded by a clinician for image clarity and field definition, with a comprehensive image-quality grading scheme. RESULTS: The sensitivity and specificity were, respectively, 100% and 90.9% for inadequate clarity detection, 95.3% and 96.4% for inadequate field definition detection, and 99.1% and 89.4% for inadequate overall quality detection. CONCLUSIONS: The automated system performs with sufficient accuracy to form part of an automated diabetic retinopathy grading system.

Adolescent↗

PubMed2003

Reduction in shear stress, activation of the endothelium, and leukocyte priming are all required for leukocyte passage across the blood--retina barrier.

The passage of leukocytes across the blood-retina barrier at the early stages of an inflammatory reaction is influenced by a complex series of interactions about which little is known. In particular, the relationship between hydrodynamic factors, such as shear stress and leukocyte velocity, to the adherence and subsequent extravasation of leukocytes into the retina is unclear. We have used a physiological method, scanning laser ophthalmoscopy, to track labeled leukocytes circulating in the retina, followed by confocal microscopy of retinal flatmounts to detect infiltrating cells at the early stage of experimental autoimmune uveitis. This has shown that retinal vessels are subjected to high shear stress under normal circumstances. During the inflammatory reaction, shear stress in retinal veins is reduced 24 h before leukocyte infiltration. This reduction is negatively correlated with leukocyte rolling and sticking in veins and postcapillary venules, the sites of leukocyte extravasation. Activation of vascular endothelial cells is also a prerequisite for leukocyte rolling and infiltration. In addition, antigen priming of leukocytes is influential at the early stage of inflammation, and this is seen clearly in the reduction in rolling velocity and adherence of the primed leukocytes in activated retinal venules, 9 days postimmunization.

Animals↗

PubMed2003

Automated measurement of microaneurysm turnover.

PURPOSE: An automated system for the measurement of microaneurysm (MA) turnover was developed and compared with manual measurement. The system analyses serial fluorescein angiogram (FA) or red-free (RF) fundus images; fluorescein angiography was used in this study because it is the more sensitive test for MAs. Previous studies have shown that the absolute number of MAs observed does not reflect the dynamic temporal nature of the MA population. In this study, almost half of the MAs present at baseline had regressed after a year and been replaced by new lesions elsewhere. METHODS: Two clinical datasets were used to evaluate the performance of the automated turnover measurement system. The first consisted of 10 patients who had two fluorescein angiograms acquired a year apart. These data were analyzed, both manually and using the automated system, to investigate the inter- and intraobserver variations associated with manual measurement and to assess the performance of the automated system. The second dataset contained FAs from a further 25 patients. This dataset was analyzed only with the automated system to investigate some properties of microaneurysm turnover, in particular the differing detection sensitivities of new, static and regressed microaneurysms. RESULTS: Manual measurements exhibited large inter- and intraobserver variation. The sensitivity and specificity of the automated system were similar to those of the human observers. However, the automated measurements were more consistent-an important condition for accurate turnover quantification. Regressed MAs were more difficult to detect reliably than new MAs, which were themselves more difficult to detect reliably than static MAs. CONCLUSIONS: The automated system was shown to be fast, reliable, and repeatable, making it suitable for processing large numbers of images. Performance was similar to that of trained manual observers.

Adult↗

PubMed2002

Improved leukocyte tracking in mouse retinal and choroidal circulation.

The purpose of this study is to develop a new method with which to visualize leukocyte dynamics in murine choroidal and retinal circulation. Both pigmented (B10.RIII) and non-pigmented (BALB/c) mice were used in this study. One hundred microl of 0.05% sodium fluorescein was injected via the mice tail vein to outline the vessel, followed by 150 microl (10(7) cells) C-AM labelled leukocytes. Fundus images were obtained with a confocal scanning laser ophthalmoscope. The dynamic image sequences were recorded simultaneously on videotape (S-VHS) and digitally at 25 frames per sec. The digital images were later analysed with a custom-made personal computer-based image analysis system. Both the choroidal and retinal circulation can be visualized in non-pigmented mice in the first few seconds of fluorescein angiography. However, the view of the choroidal and the retinal capillary circulation is soon blurred due to the rapid fluorescein leakage in the choroid. In contrast, in pigmented mice, retinal circulation is clear against the dark background of the choroid, while choroidal circulation is masked behind the pigment epithelial layer and cannot be seen at all. C-AM labelled leukocytes were clearly seen in the retinal circulation of all experimental mice and in the choroidal circulation of non-pigmented mice for as long as 30 min. The number of labelled circulating cells decreased as time clasped. Cells moved rapidly in the retinal arteries, slowing down or even stopping for a few seconds in the capillary system, and then moved slightly faster again through the postcapillary venules and veins. In non-pigmented mice, significant number of cells were seen to have arrested in the choroidal circulation. There was no difference between B10.RIII mice and BALB/c mice in vessel diameters, leukocyte velocities and shear stresses. This method allows the visualization of leukocytes and provides data on their behavior as they move through the choroidal and retinal circulation of non-pigmented mice, and in the retinal circulation of pigmented mice. It provides a valuable new tool for the investigation of real time leukocyte dynamics in murine retinal and choroidal microcirculations both under physiological conditions and during the development of ocular disease.

Animals↗