4D reconstruction of the beating embryonic heart from two orthogonal sets of parallel optical coherence tomography slice-sequences.
4D reconstruction of the beating embryonic heart from two orthogonal sets of parallel optical coherence tomography slice-sequences.
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DOI：
10.1109/tmi.2012.2231692
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发表时间：
2013-03
影响因子：
10.6
通讯作者：
Liebling M
中科院分区：
文献类型：
--
作者：
Bhat S;Larina IV;Larin KV;Dickinson ME;Liebling M
当前构建跳动胚胎心脏的动态光学相干断层扫描 (OCT) 体积的方法涉及通过单独的心跳获取的 2D+时间切片序列的同步。这些序列的时间配准通过门控或后处理来执行。虽然完全依赖于图像固有信号的同步算法允许放弃外部选通硬件，但它们很容易出现错误积累，需要操作员监督的校正，或者导致非各向异性分辨率。在这里，我们提出了一种基于图像的回顾性重建技术，该技术使用两组相互垂直采集的并行 2D+T 切片序列，以产生具有各向同性分辨率的准确且自动的重建。该方法利用切片交叉处数据的相似性来时空配准两组切片序列，并将它们融合成高分辨率的 4D 体。我们通过使用 1) 模拟心脏模型数据集和 2) 从活体培养的 E9.5 小鼠和 E10.5 大鼠胚胎的跳动心脏获得的 OCT 数据集来表征我们的方法。我们证明，虽然与使用单个方向切片的方法相比，我们的方法需要更长的采集和重建时间，但它会产生更准确和自我验证的重建，因为每组重建切片都充当垂直集中切片的参考。
Current methods to build dynamic optical coherence tomography (OCT) volumes of the beating embryonic heart involve synchronization of 2D+time slice-sequences acquired over separate heartbeats. Temporal registration of these sequences is performed either through gating or postprocessing. While synchronization algorithms that exclusively rely on image-intrinsic signals allow forgoing external gating hardware, they are prone to error accumulation, require operator-supervised correction, or lead to nonisotropic resolution. Here, we propose an image-based, retrospective reconstruction technique that uses two sets of parallel 2D+T slice-sequences, acquired perpendicularly to each other, to yield accurate and automatic reconstructions with isotropic resolution. The method utilizes the similarity of the data at the slice intersections to spatio-temporally register the two sets of slice sequences and fuse them into a high-resolution 4D volume. We characterize our method by using 1) simulated heart phantom datasets and 2) OCT datasets acquired from the beating heart of live cultured E9.5 mouse and E10.5 rat embryos. We demonstrate that while our method requires greater acquisition and reconstruction time compared to methods that use slices from a single direction, it produces more accurate and self-validating reconstructions since each set of reconstructed slices acts as a reference for the slices in the perpendicular set.