Title
A spatially-variant deconvolution method based on total variation for optical coherence tomography images
Abstract
Optical Coherence Tomography (OCT) has a great potential to elicit clinically useful information from tissues due to its high axial and transversal resolution. In practice, an OCT setup cannot reach to its theoretical resolution due to imperfections of its components, which make its images blurry. The blurriness is different alongside regions of image; thus, they cannot be modeled by a unique point spread function (PSF). In this paper, we investigate the use of solid phantoms to estimate the PSF of each sub-region of imaging system. We then utilize Lucy-Richardson, Hybr and total variation (TV) based iterative deconvolution methods for mitigating occurred spatially variant blurriness. It is shown that the TV based method will suppress the so-called speckle noise in OCT images better than the two other approaches. The performance of proposed algorithm is tested on various samples, including several skin tissues besides the test image blurred with synthetic PSF-map, demonstrating qualitatively and quantitatively the advantage of TV based deconvolution method using spatially-variant PSF for enhancing image quality.
Year
DOI
Venue
2017
10.1117/12.2255557
Proceedings of SPIE
Keywords
Field
DocType
optical coherence tomography,deconvolution
Computer vision,Optical coherence tomography,Speckle pattern,Optics,Image quality,Deconvolution,Artificial intelligence,Speckle noise,Point spread function,Standard test image,Physics
Conference
Volume
ISSN
Citations 
10137
0277-786X
0
PageRank 
References 
Authors
0.34
1
7
Name
Order
Citations
PageRank
Mohammad Almasganj100.34
Saba Adabi200.34
Emad Fatemizadeh311713.86
Qiuyun Xu400.34
Hamid Sadeghi500.34
Steven Daveluy601.01
Mohammadreza Nasiriavanaki7275.27