Delineating fluid-filled region boundaries in optical coherence tomography images of the retina
Delineating fluid-filled region boundaries in optical coherence tomography images of the retina
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DOI：
10.1109/tmi.2005.848655
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发表时间：
2005-08-01
影响因子：
10.6
通讯作者：
Fernández, DC
中科院分区：
文献类型：
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作者：
Fernández, DC
我们评估的能力，变形模型产生准确的形状描述与年龄相关性黄斑变性相关的流体填充区域。通过当前光学相干断层扫描（OCT）系统计算视网膜厚度和体积包括流体填充区域或病变沿着实际视网膜组织。为了量化这些病变独立于视网膜组织，他们必须概述。一个可变形的模型被应用到OCT图像的视网膜，证明囊样病变和视网膜下的液体空间。讨论了若干执行问题，以便选择适当的参数。利用非线性各向异性扩散滤波器抑制斑点噪声，同时保持原始图像的边缘进行了探索。一旦勾画出病变的轮廓，就对病变的表面积和体积进行定量分析。可变形模型可以准确地勾勒出视网膜内充满液体的区域。实验证明，该检测方法能够有效地捕捉OCT图像中复杂的流体填充区域。可变形模型结合非线性各向异性扩散滤波显示出在临床OCT图像中用于诊断的感兴趣的视网膜特征的检测中的前景。因此，流体填充区域检测可以显著地帮助治疗和诊断的分析。
We evaluate the ability of a deformable model to yield accurate shape descriptions of fluid-filled regions associated with age-related macular degeneration. Calculation of retinal thickness and volume by the current optical coherence tomography (OCT) system includes fluid-filled regions or lesions along with actual retinal tissue. In order to quantify these lesions independently from the retinal tissue, they must be outlined. A deformable model was applied to OCT images of retinas demonstrating cystoids and subretinal fluid spaces. Several implementation issues were addressed in order to choose appropriate parameters. The use of a nonlinear anisotropic diffusion filter to suppress speckle noise while at the same time preserving the edges of the original image was explored. Once the contours of the lesions were outlined, quantitative analysis of the surface area and volume of the lesions was performed. The deformable model could accurately outline fluid-filled regions within the retina. The detection method tested proved effective in capturing the complexity of fluid-filled regions in OCT images. Deformable models combined with nonlinear anisotropic diffusion filtering show promise in the detection of retinal features of interest for diagnosis in clinical OCT images. Thus, fluid-filled region detection may significantly aid in analysis of treatments and diagnosis.