Abstract
Background:The diagnosis of plus disease in retinopathy of prematurity (ROP) largely determines the need for treatment; however, this diagnosis is subjective. To make the diagnosis of plus disease more objective, semi-automated computer programs (e.g. ROPtool) have been created to quantify vascular dilation and tortuosity. ROPtool can accurately analyze blood vessels only in images with very good quality, but many still images captured by indirect ophthalmoscopy have insufficient image quality for ROPtool analysis.Purpose:To evaluate the ability of an image fusion methodology (robust mosaicing) to increase the efficiency and traceability of posterior pole vessel analysis by ROPtool.Materials and Methodology:We retrospectively reviewed video indirect ophthalmoscopy images acquired during routine ROP examinations and selected the best unenhanced still image from the video for each infant. Robust mosaicing was used to create an enhanced mosaic image from the same video for each eye. We evaluated the time required for ROPtool analysis as well as ROPtool’s ability to analyze vessels in enhanced vs. unenhanced images.Results:We included 39 eyes of 39 infants. ROPtool analysis was faster (125 vs. 152 seconds; p=0.02) in enhanced vs. unenhanced images, respectively. ROPtool was able to trace retinal vessels in more quadrants (143/156, 92% vs 115/156, 74%; p=0.16) in enhanced mosaic vs. unenhanced still images, respectively and in more overall (38/39, 97% vs. 34/39, 87%; p=0.07) enhanced mosaic vs. unenhanced still images, respectively.Conclusion:Retinal image enhancement using robust mosaicing advances efforts to automate grading of posterior pole disease in ROP.
Highlights
In retinopathy of prematurity (ROP), the presence of plus disease largely determines if treatment is needed [1].1874-3641/17 2017 Bentham Open144 The Open Ophthalmology Journal, 2017, Volume 11the diagnosis of plus disease is subjective and, even among ophthalmologists who are experienced in ROP screening, agreement of plus disease diagnosis is poor [2, 3]
Retinal image enhancement using robust mosaicing advances efforts to automate grading of posterior pole disease in ROP
We systematically evaluated the ability of robust mosaicing to increase the efficiency and image traceability of posterior pole vessel analysis by ROPtool
Summary
In retinopathy of prematurity (ROP), the presence of plus disease largely determines if treatment is needed [1].1874-3641/17 2017 Bentham Open144 The Open Ophthalmology Journal, 2017, Volume 11the diagnosis of plus disease is subjective and, even among ophthalmologists who are experienced in ROP screening, agreement of plus disease diagnosis is poor [2, 3]. ROPtool is a semi-automated computer program that analyzes vascular tortuosity and dilation in retinal images [5, 8, 9]. In analysis of high-quality Retcam images, ROPtool has been shown to have high sensitivity and specificity for diagnosis of plus disease when compared to masked examiners experienced in ROP diagnosis [8]. While ROPtool can accurately detect characteristics suggestive of plus disease, a previous study found that ROPtool could trace vessels in only 43% of quadrants in video indirect ophthalmoscopy (VIO) still images due to insufficient image quality [10]. The diagnosis of plus disease in retinopathy of prematurity (ROP) largely determines the need for treatment; this diagnosis is subjective. To make the diagnosis of plus disease more objective, semi-automated computer programs (e.g. ROPtool) have been created to quantify vascular dilation and tortuosity. We evaluated the time required for ROPtool analysis as well as ROPtool’s ability to analyze vessels in enhanced vs. unenhanced images
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