Chen Min, Lang Andrew, Sotirchos Elias, Ying Howard S, Calabresi Peter A, Prince Jerry L, Carass Aaron
Image Analysis and Communications Laboratory, The Johns Hopkins University.
Department of Neurology, The Johns Hopkins School of Medicine.
Proc IEEE Int Symp Biomed Imaging. 2013 Dec 31;2013:476-479. doi: 10.1109/ISBI.2013.6556515.
Optical coherence tomography (OCT) of the macular cube has become an increasingly important tool for investigating and managing retinal pathology. One important new area of investigation is the analysis of anatomic variably across a population. Such an analysis on the retina requires the construction of a normalized space, which is generally created through deformable registration of each subject into a common template. Unfortunately, state-of-the-art 3D registration tools fail to adequately spatially normalize retinal OCT images. This work proposes a new deformable registration algorithm for OCT images using the similarity between pairs of A-mode scans. First, a retinal OCT specific affine step is presented, which uses automated landmarks to perform global translations and individual rescaling of all the subject's A-mode scans. Then, a deformable registration using regularized one-dimensional radial basis functions is applied to further align the retinal layers. Results on 15 subjects show the improved accuracy of this approach in comparison to state of the art methods with respect to registration for labeling. Additional results show the ability to generate stereotaxic spaces for retinal OCT.
黄斑区立方体格光学相干断层扫描（OCT）已成为研究和管理视网膜病变的一项日益重要的工具。一个重要的新研究领域是分析人群中的解剖变异。对视网膜进行这样的分析需要构建一个标准化空间，通常是通过将每个受试者的图像变形配准到一个通用模板来创建。不幸的是，最先进的三维配准工具未能充分对视网膜OCT图像进行空间标准化。这项工作提出了一种使用A模式扫描对之间的相似性的新型OCT图像变形配准算法。首先，提出了一个视网膜OCT特定的仿射步骤，该步骤使用自动地标对所有受试者的A模式扫描进行全局平移和个体缩放。然后，应用使用正则化一维径向基函数的变形配准来进一步对齐视网膜层。15名受试者的结果表明，与现有技术方法相比，该方法在标记配准方面具有更高的准确性。其他结果表明能够为视网膜OCT生成立体定向空间。
