Research Papers: Imaging

Spiking cortical model–based nonlocal means method for speckle reduction in optical coherence tomography images

[+] Author Affiliations
Xuming Zhang, Liu Li, Fei Zhu, Wenguang Hou

Huazhong University of Science and Technology, School of Life Science and Technology, 1037 Luoyu Road, Wuhan 430074, China

Xinjian Chen

Soochow University, School of Electronics and Information, 1 Shizi Street, Suzhou 215006, China

J. Biomed. Opt. 19(6), 066005 (Jun 11, 2014). doi:10.1117/1.JBO.19.6.066005
History: Received March 26, 2014; Revised May 8, 2014; Accepted May 12, 2014
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Abstract.  Optical coherence tomography (OCT) images are usually degraded by significant speckle noise, which will strongly hamper their quantitative analysis. However, speckle noise reduction in OCT images is particularly challenging because of the difficulty in differentiating between noise and the information components of the speckle pattern. To address this problem, the spiking cortical model (SCM)-based nonlocal means method is presented. The proposed method explores self-similarities of OCT images based on rotation-invariant features of image patches extracted by SCM and then restores the speckled images by averaging the similar patches. This method can provide sufficient speckle reduction while preserving image details very well due to its effectiveness in finding reliable similar patches under high speckle noise contamination. When applied to the retinal OCT image, this method provides signal-to-noise ratio improvements of >16dB with a small 5.4% loss of similarity.

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© 2014 Society of Photo-Optical Instrumentation Engineers

Citation

Xuming Zhang ; Liu Li ; Fei Zhu ; Wenguang Hou and Xinjian Chen
"Spiking cortical model–based nonlocal means method for speckle reduction in optical coherence tomography images", J. Biomed. Opt. 19(6), 066005 (Jun 11, 2014). ; http://dx.doi.org/10.1117/1.JBO.19.6.066005


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