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Angular compounding for speckle reduction in optical coherence tomography using geometric image registration algorithm and digital focusing

机译:使用几何图像配准算法和数字聚焦光学相干断层扫描的散斑减少角度复合

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摘要

Optical coherence tomography (OCT) suffers from speckle noise due to the high spatial coherence of the utilized light source, leading to significant reductions in image quality and diagnostic capabilities. In the past, angular compounding techniques have been applied to suppress speckle noise. However, existing image registration methods usually guarantee pure angular compounding only within a relatively small field of view in the focal region, but produce spatial averaging in the other regions, resulting in resolution loss and image blur. This work develops an image registration model to correctly localize the real-space location of every pixel in an OCT image, for all depths. The registered images captured at different angles are fused into a speckle-reduced composite image. Digital focusing, based on the convolution of the complex OCT images and the conjugate of the point spread function (PSF), is studied to further enhance lateral resolution and contrast. As demonstrated by experiments, angular compounding with our improved image registration techniques and digital focusing, can effectively suppress speckle noise, enhance resolution and contrast, and reveal fine structures in ex-vivo imaged tissue.
机译:光学相干断层扫描(OCT)由于利用光源的高空间相干性而受到散斑噪声,导致图像质量和诊断能力显着降低。在过去,已经应用了角度复合技术来抑制斑点噪声。然而,现有的图像登记方法通常仅在焦点区域的相对较小的视野中保证纯角化,但在其他区域中产生空间平均,导致分辨率损耗和图像模糊。这项工作开发了一个图像登记模型,以正确地本地化OCT图像中每个像素的实际位置位置,以满足所有深度。以不同角度捕获的登记图像被融合到散斑减少的复合图像中。基于复杂OCT图像的卷积和点扩散功能(PSF)的卷曲的数字聚焦,研究进一步增强横向分辨率和对比度。如实验所证明的,随着我们改进的图像配准技术和数字聚焦,可以有效地抑制斑点噪声,增强分辨率和对比度,并揭示前体内成像组织中的细结构。

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