光学相干层析成像(Optical coherence tomography,OCT)作为一种重要的无损断层三维成像技术,应用场景广泛.不断发展的场景需求对OCT技术的性能提出了新的要求,包括分辨率提升、焦深解耦、像差校正及分辨率各向异性改善等.在过去的十几年内,一系列基于计算成像的方法被证明能有效实现上述性能提升.本文围绕上述OCT成像4个性能提升需求,总结综述了代表性的计算成像方法.分析对比了相应计算成像方法之间的优劣,并对未来发展趋势进行展望,旨在为计算成像方法在 OCT 领域的进一步研究与应用提供参考.
Research Progress of Computational Enhanced Optical Coherence Tomography
Optical coherence tomography(OCT)has become an important non-invasive three-dimensional imaging technology with a wide range of applications.Novel demands have occurred for the OCT technology due to the developing application scenario requirement,such as resolution improvement,depth-of-focus decoupling,aberrations correction,and anisotropic resolution correction.Over the past decades,computational imaging methods have been demonstrated effective in improving previous performance parameters.This paper focuses on the four performance improvement demands and reviews several representative computational methods.The analysis compares the strengths and weaknesses of respective solutions and outlooks future trends of computation-enhanced OCT technology,with the aim to provide references for the further study and its applications.
optical coherence tomographycomputational imagingaxial and lateral resolutionfocal of depth decouplingaberration correction
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