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Biomedical Optics Express

Biomedical Optics Express

  • Editor: Joseph A. Izatt
  • Vol. 3, Iss. 11 — Nov. 1, 2012
  • pp: 2774–2783

Digital focusing of OCT images based on scalar diffraction theory and information entropy

Guozhong Liu, Zhongwei Zhi, and Ruikang K. Wang  »View Author Affiliations


Biomedical Optics Express, Vol. 3, Issue 11, pp. 2774-2783 (2012)
http://dx.doi.org/10.1364/BOE.3.002774


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Abstract

This paper describes a digital method that is capable of automatically focusing optical coherence tomography (OCT) en face images without prior knowledge of the point spread function of the imaging system. The method utilizes a scalar diffraction model to simulate wave propagation from out-of-focus scatter to the focal plane, from which the propagation distance between the out-of-focus plane and the focal plane is determined automatically via an image-definition-evaluation criterion based on information entropy theory. By use of the proposed approach, we demonstrate that the lateral resolution close to that at the focal plane can be recovered from the imaging planes outside the depth of field region with minimal loss of resolution. Fresh onion tissues and mouse fat tissues are used in the experiments to show the performance of the proposed method.

© 2012 OSA

OCIS Codes
(100.1830) Image processing : Deconvolution
(100.3190) Image processing : Inverse problems
(100.6950) Image processing : Tomographic image processing
(110.3000) Imaging systems : Image quality assessment
(170.4500) Medical optics and biotechnology : Optical coherence tomography

ToC Category:
Image Reconstruction and Inverse Problems

History
Original Manuscript: August 1, 2012
Revised Manuscript: September 27, 2012
Manuscript Accepted: September 28, 2012
Published: October 10, 2012

Citation
Guozhong Liu, Zhongwei Zhi, and Ruikang K. Wang, "Digital focusing of OCT images based on scalar diffraction theory and information entropy," Biomed. Opt. Express 3, 2774-2783 (2012)
http://www.opticsinfobase.org/boe/abstract.cfm?URI=boe-3-11-2774


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