论文标题
3D虹膜表面的重建和定量在前段中进行角度闭合青光眼检测OCT
Reconstruction and Quantification of 3D Iris Surface for Angle-Closure Glaucoma Detection in Anterior Segment OCT
论文作者
论文摘要
从前部分OCT（AS-OCT）对虹膜形状的精确表征和分析对于促进与角裂相关疾病的诊断非常重要。现有方法仅着重于分析从2D切片中鉴定出的结构特性，而3D AS-OCT中虹膜形状的形态变化的准确表征也可能能够揭示，而疾病进展的风险也可以揭示。在本文中，我们提出了一个新颖的框架，用于重建和定量AS-OCT图像的3D虹膜表面。我们认为这是通过3D表示检测角度闭合青光眼的第一项工作。首先提出了具有小波细化块（WRB）的虹膜分割网络，以从单个AS-OCT切片中生成虹膜的初始形状。然后使用带有泊松盘采样的引导优化方法重建3D虹膜表面。最后，提取了一组基于表面的特征，这些特征用于检测角度闭合青光眼。实验结果表明，我们的方法在虹膜分割和表面重建中非常有效。此外，我们表明，基于3D的表示与基于2D的特征相比，基于3D的表示可以在角度闭合型青光眼检测中取得更好的性能。
Precise characterization and analysis of iris shape from Anterior Segment OCT (AS-OCT) are of great importance in facilitating diagnosis of angle-closure-related diseases. Existing methods focus solely on analyzing structural properties identified from the 2D slice, while accurate characterization of morphological changes of iris shape in 3D AS-OCT may be able to reveal in addition the risk of disease progression. In this paper, we propose a novel framework for reconstruction and quantification of 3D iris surface from AS-OCT imagery. We consider it to be the first work to detect angle-closure glaucoma by means of 3D representation. An iris segmentation network with wavelet refinement block (WRB) is first proposed to generate the initial shape of the iris from single AS-OCT slice. The 3D iris surface is then reconstructed using a guided optimization method with Poisson-disk sampling. Finally, a set of surface-based features are extracted, which are used in detecting of angle-closure glaucoma. Experimental results demonstrate that our method is highly effective in iris segmentation and surface reconstruction. Moreover, we show that 3D-based representation achieves better performance in angle-closure glaucoma detection than does 2D-based feature.
