Image quality improvement in optical coherence tomography using Lucy-Richardson deconvolution algorithm
Image quality improvement in optical coherence tomography using Lucy-Richardson deconvolution algorithm
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DOI：
10.1364/ao.52.005663
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发表时间：
2013-08-10
期刊：
影响因子：
1.9
通讯作者：
Podoleanu, A. Gh.
中科院分区：
文献类型：
--
作者：
Hojjatoleslami, S. A.;Avanaki, M. R. N.;Podoleanu, A. Gh.
光学相干断层扫描（OCT）由于其高轴向和横向分辨率以及可接受的深度穿透，具有皮肤组织表征的潜力。在实践中，由于使用的一些组件的不完善，OCT无法达到理论分辨率。提高图像质量的一种方法是估计OCT系统的点扩散函数（PSF），并从输出图像中对其进行反卷积。在本文中，我们研究了使用实体幻影来估计成像系统的PSF。然后，我们利用迭代Lucy-Richardson反卷积算法来提高图像质量。该算法的性能在从各种样本获取的OCT图像上得到了证明，例如环氧树脂幻影，指尖皮肤和基底细胞喉部和眼睑组织。(C) 2013年美国光学学会
Optical coherence tomography (OCT) has the potential for skin tissue characterization due to its high axial and transverse resolution and its acceptable depth penetration. In practice, OCT cannot reach the theoretical resolutions due to imperfections of some of the components used. One way to improve the quality of the images is to estimate the point spread function (PSF) of the OCT system and deconvolve it from the output images. In this paper, we investigate the use of solid phantoms to estimate the PSF of the imaging system. We then utilize iterative Lucy-Richardson deconvolution algorithm to improve the quality of the images. The performance of the proposed algorithm is demonstrated on OCT images acquired from a variety of samples, such as epoxy-resin phantoms, fingertip skin and basaloid larynx and eyelid tissues. (C) 2013 Optical Society of America