Correcting spatial-spectral crosstalk and chromatic aberrations in broadband line-scan spectral-domain OCT images

被引:2
|
作者
Han, Le [1 ]
Bizheva, Kostadinka [1 ,2 ,3 ]
机构
[1] Univ Waterloo, Dept Phys & Astron, Waterloo, ON N2L 3G1, Canada
[2] Univ Waterloo, Dept Syst Design Engn, Waterloo, ON, Canada
[3] Univ Waterloo, Sch Optometry & Vis Sci, Waterloo, ON N2L 3G1, Canada
基金
加拿大健康研究院; 加拿大自然科学与工程研究理事会;
关键词
OPTICAL COHERENCE TOMOGRAPHY; COMPUTATIONAL ADAPTIVE OPTICS; RESOLUTION OCT; FIELD; MICROSCOPY; STABILITY;
D O I
10.1364/BOE.488881
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Digital correction of optical aberrations allows for high-resolution imaging across the full depth range in optical coherence tomography (OCT). Many digital aberration correction (DAC) methods have been proposed in the past to evaluate and correct monochromatic error in OCT images. However, other factors that deteriorate the image quality have not been fully investigated. Specifically, in a broadband line-scan spectral-domain OCT system (LS-SD-OCT), photons with different wavelengths scattered from the same transverse location and in the imaged object will be projected onto different spatial coordinates onto the 2D camera sensor, which in this work is defined as spatial-spectral crosstalk. In addition, chromatic aberrations in both axial and lateral directions are not negligible for broad spectral bandwidths. Here we present a novel approach to digital recovery of the spatial resolution in images acquired with a broadband LS-SD-OCT, which addresses these two main factors that limit the effectiveness of DAC for restoring diffraction-limited resolution in LS-SD-OCT images. In the proposed approach, spatial-spectral crosstalk and chromatic aberrations are suppressed by the registration of monochromatic sub-band tomograms that are digitally corrected for aberrations. The new method was validated by imaging a standard resolution target, a microspheres phantom, and different biological tissues. LS-SD-OCT technology combined with the proposed novel image reconstruction method could be a valuable research tool for various biomedical and clinical applications.
引用
收藏
页码:3344 / 3361
页数:18
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