视网膜眼底成像的非侵入性对比度增强

A. Hani, T. Soomro, I. Faye
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引用次数: 11

摘要

糖尿病视网膜病变(DR)是由于糖尿病影响视网膜引起的并发症而导致的视力丧失。众所周知,中央凹无血管区(FAZ)随着DR的进展而扩大,这是由于中央凹周围毛细血管网络中毛细血管的丧失。然而,正常的视网膜眼底图像遭受低和不同的对比度问题。一种称为RETICA的非侵入性数字图像增强技术已经被开发出来,克服了眼底图像变化和低对比度的问题。RETICA首先使用一种基于retinex的方法将不同的对比度归一化,该方法将图像的反射部分与照明分离,然后使用ICA形成原始的视网膜色素组成,即黄斑、血红蛋白和黑色素视网膜色素。该技术已应用于我们的FINDeRS数据集,该数据集包含175张眼底图像和另外35对眼底图像,这些图像来自于一项早期研究,其中包含彩色眼底图像及其相应的荧光素眼底血管造影(FFA)图像。对于35对图像,与有创FFA的5.12相比,RETICA的平均对比度改善因子(CIF)高达5.46。对于FINDeRS图像,RETICA在去噪后实现了5.63的平均CIF。RETICA图像增强技术潜在地减少了在DR评估中对侵入性荧光素血管造影的需要。
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Non-invasive contrast enhancement for retinal fundus imaging
Diabetic Retinopathy (DR) is vision loss impairment due to complication arising from diabetic condition affecting the retina. It is known that the foveal avascular zone (FAZ) enlarges with progression of DR due to the loss of capillaries in perifoveal capillary network. However, normal retinal fundus images suffer from low and varied contrast problems. A non-invasive digital image enhancement technique called RETICA has been developed that overcomes the problem of varied and low contrast in fundus images. RETICA first normalises the varied contrast using a Retinex-based method that separates the illumination from the reflectance part of the image followed by ICA that forms the original retinal pigment makeup namely the macular, haemoglobin and melanin retinal pigment. The technique has been applied on our FINDeRS dataset contained 175 fundus images and another 35 fundus image pairs obtained from an earlier study containing colour fundus images and their corresponding fluorescein fundus angiogram (FFA) images. For the 35 image pairs, RETICA achieved an average contrast improvement factor (CIF) of up to 5.46 compared to the invasive FFA at 5.12. For the FINDeRS images, RETICA achieved an average CIF of 5.63 with denoising. The RETICA image enhancement technique potentially reduces the need for the invasive fluorescein angiogram in DR assessment.
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