Depixelation and enhancement of fiber bundle images by bundle rotation
Depixelation and enhancement of fiber bundle images by bundle rotation
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DOI：
10.1364/ao.59.000536
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发表时间：
2020-01-10
期刊：
影响因子：
1.9
通讯作者：
Boppart, Stephen A.
中科院分区：
文献类型：
--
作者：
Renteria, Carlos;Suarez, Javier;Boppart, Stephen A.
光纤束已被广泛用于内窥镜检查、活体成像和其他成像应用。用这些束成像的固有结果是引入由纤维间间距引起的蜂窝状伪影，其模糊图像中对象的特征。这种伪影随后限制了适用性，并且可能使基于图像的数据的解释变得困难。这项工作提出了一种方法来减少这种伪影的轴上旋转的纤维束。首先对纤维束图像进行低通和中值滤波，以提高图像质量。然后将具有旋转样本的连续滤波图像进行配准和平均，以生成最终的重建图像。结果表明，除了增加的信号对比度和信噪比之外，伪影也被去除。这种方法结合了数字滤波和空间重建来重建更高质量的图像，提高了使用纤维束获得的图像的实用性。(C)2020美国光学学会
Fiber bundles have become widely adopted for use in endoscopy, live-organism imaging, and other imaging applications. An inherent consequence of imaging with these bundles is the introduction of a honeycomb-like artifact that arises from the inter-fiber spacing, which obscures features of objects in the image. This artifact subsequently limits applicability and can make interpretation of the image-based data difficult. This work presents a method to reduce this artifact by on-axis rotation of the fiber bundle. Fiber bundle images were first low-pass and median filtered to improve image quality. Consecutive filtered images with rotated samples were then co-registered and averaged to generate a final, reconstructed image. The results demonstrate removal of the artifacts, in addition to increased signal contrast and signal-to-noise ratio. This approach combines digital filtering and spatial resampling to reconstruct higher-quality images, enhancing the utility of images acquired using fiber bundles. (C) 2020 Optical Society of America