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基于配准的径向和线性 B 扫描复合实现高分辨率容积光学相干断层扫描的工具。

A Tool for High-Resolution Volumetric Optical Coherence Tomography by Compounding Radial-and Linear Acquired B-Scans Using Registration.

机构信息

Computer Aided Medical Procedures and Augmented Reality, Technical University Munich, 85748 Munich, Germany.

Augenklinik und Poliklinik, Klinikum Rechts der Lsar der Technische Universität München, 81675 München, Germany.

出版信息

Sensors (Basel). 2022 Feb 2;22(3):1135. doi: 10.3390/s22031135.

DOI:10.3390/s22031135
PMID:35161880
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8839892/
Abstract

Optical coherence tomography (OCT) is a medical imaging modality that is commonly used to diagnose retinal diseases. In recent years, linear and radial scanning patterns have been proposed to acquire three-dimensional OCT data. These patterns show differences in A-scan acquisition density across the generated volumes, and thus differ in their suitability for the diagnosis of retinal diseases. While radial OCT volumes exhibit a higher A-scan sampling rate around the scan center, linear scans contain more information in the peripheral scan areas. In this paper, we propose a method to combine a linearly and radially acquired OCT volume to generate a single compound volume, which merges the advantages of both scanning patterns to increase the information that can be gained from the three-dimensional OCT data. We initially generate 3D point clouds of the linearly and radially acquired OCT volumes and use an Iterative Closest Point (ICP) variant to register both volumes. After registration, the compound volume is created by selectively exploiting linear and radial scanning data, depending on the A-scan density of the individual scans. Fusing regions from both volumes with respect to their local A-scan sampling density, we achieve improved overall anatomical OCT information in a high-resolution compound volume. We demonstrate our method on linear and radial OCT volumes for the visualization and analysis of macular holes and the surrounding anatomical structures.

摘要

光学相干断层扫描(OCT)是一种常用于诊断视网膜疾病的医学成像方式。近年来,线性和径向扫描模式已被提出用于获取三维 OCT 数据。这些模式在生成的体积中表现出 A 扫描采集密度的差异,因此在诊断视网膜疾病方面的适用性也不同。虽然径向 OCT 体积在扫描中心周围表现出更高的 A 扫描采样率,但线性扫描在周边扫描区域包含更多信息。在本文中,我们提出了一种方法,可将线性和径向采集的 OCT 体积组合生成单个复合体积,从而结合两种扫描模式的优势,增加可从三维 OCT 数据中获得的信息量。我们最初生成线性和径向采集的 OCT 体积的 3D 点云,并使用迭代最近点(ICP)变体对两个体积进行配准。配准后,根据各个扫描的 A 扫描密度,选择性地利用线性和径向扫描数据来创建复合体积。通过根据局部 A 扫描采样密度融合两个体积的区域,我们在高分辨率复合体积中实现了改进的整体解剖 OCT 信息。我们在黄斑裂孔及其周围解剖结构的线性和径向 OCT 体积上展示了我们的方法,用于可视化和分析。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4fb/8839892/f36c6f156ef0/sensors-22-01135-g012.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4fb/8839892/716aa785be0b/sensors-22-01135-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4fb/8839892/33765a75cff0/sensors-22-01135-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4fb/8839892/461780ba4e7a/sensors-22-01135-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4fb/8839892/2ee245ccbe9d/sensors-22-01135-g009.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4fb/8839892/cd0164818447/sensors-22-01135-g010.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4fb/8839892/3d621fac7723/sensors-22-01135-g011.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e4fb/8839892/f36c6f156ef0/sensors-22-01135-g012.jpg

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本文引用的文献

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Predictive Association of Pre-Operative Defect Areas in the Outer Retinal Layers With Visual Acuity in Macular Hole Surgery.术前外层视网膜缺损区与黄斑裂孔手术视力的预测相关性。
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