Assessment of frame-averaging algorithms in OCT image analysis.

Assessment of frame-averaging algorithms in OCT image analysis.
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DOI:
10.3928/23258160-20130313-09
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发表时间:
2013-03
期刊:
Ophthalmic surgery, lasers & imaging retina
影响因子:
--
通讯作者:
Huang D
Huang D
中科院分区:
其他
文献类型:
--
作者:
Wu W;Tan O;Pappuru RR;Duan H;Huang D

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To evaluate frame registration and averaging algorithms for optical coherence tomography. Normal and glaucoma eyes (n=20 each) were imaged. Objective differences were measured by comparing noise variance (NV), spread of edge (SE), and contrast-to-noise ratio (CNR). Subjective image quality was also evaluated. Two frame-averaging algorithms (FA400 and FA407) had better NV and CNR, but worse SE than did single frames (p<0.01). Additionally, both algorithms provided better subjective assessments of structure boundaries than did single images (p<0.001). Algorithm FA407 had significantly lower SE and better ILM visualization than did FA400. Frame-averaging significantly suppressed speckle noise and increased the visibility of retinal structures. However, imperfect image registration caused edge blurring that could be detected by the SE parameter. In frame-averaging algorithms, higher CNR and lower NV indicated better noise suppression, but SE was most sensitive in comparing edge preservation between algorithms.
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