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Tensor total variation approach to optical coherence tomography reconstruction for improved visualization of retinal microvasculature

机译:张量总变化方法用于光学相干断层扫描重建,以改善视网膜微脉管系统的可视化

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A novel optical coherence tomography (OCT) reconstruction approach is introduced for improved visualization of inner-retina capillaries in retinal OCT tomograms. The proposed method utilizes a minimization framework based on a tensor total variation (TTV) energy functional, to enforce capillary structural characteristics in the spatial domain. By accounting for structure tensor characteristics, the TTV reconstruction method allows for contrast enhancement of capillary structural characteristics. The novel TTV method was tested on high resolution OCT images acquired in-vivo from the foveal region of the retina of a healthy human subject. Experimental results demonstrate significant contrast and visibility enhancement of the inner retina capillaries in the retinal OCT tomograms, achieved by use of the TTV reconstruction method. Therefore, the TTV method has a strong potential for improved disease progression analysis based on the study of disease-induced changes in the inner retina vasculature.
机译:引入了一种新颖的光学相干断层扫描(OCT)重建方法,以改善视网膜OCT断层图中的内部视网膜毛细血管的可视化。所提出的方法利用基于张量总变化(TTV)能量函数的最小化框架来在空间域中增强毛细管结构特征。通过考虑结构张量特性,TTV重建方法可以增强毛细管结构特性的对比度。在从健康人类受试者的视网膜中央凹区域体内获得的高分辨率OCT图像上测试了新颖的TTV方法。实验结果表明,通过使用TTV重建方法,视网膜OCT断层图中的内部视网膜毛细血管具有明显的对比度和可见度增强。因此,基于疾病引起的内部视网膜脉管系统变化的研究,TTV方法在改善疾病进展分析方面具有强大的潜力。

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