Speckle reduction in optical coherence tomography images based on wave atoms

Yongzhao Du, Gangjun Liu, Guoying Feng, Zhongping Chen

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

Optical coherence tomography (OCT) is an emerging noninvasive imaging technique, which is based on low-coherence interferometry. OCT images suffer from speckle noise, which reduces image contrast. A shrinkage filter based on wave atoms transform is proposed for speckle reduction in OCT images. Wave atoms transform is a new multiscale geometric analysis tool that offers sparser expansion and better representation for images containing oscillatory patterns and textures than other traditional transforms, such as wavelet and curvelet transforms. Cycle spinning-based technology is introduced to avoid visual artifacts, such as Gibbslike phenomenon, and to develop a translation invariant wave atoms denoising scheme. The speckle suppression degree in the denoised images is controlled by an adjustable parameter that determines the threshold in the wave atoms domain. The experimental results show that the proposed method can effectively remove the speckle noise and improve the OCT image quality. The signal-to-noise ratio, contrast-to-noise ratio, average equivalent number of looks, and cross-correlation (XCOR) values are obtained, and the results are also compared with the wavelet and curvelet thresholding techniques.

Original languageEnglish (US)
Article number056009
JournalJournal of biomedical optics
Volume19
Issue number5
DOIs
StatePublished - May 2014

Keywords

  • image enhancement
  • image processing
  • medical optics and biotechnology
  • optical coherence tomography
  • tomographic image processing

ASJC Scopus subject areas

  • Electronic, Optical and Magnetic Materials
  • Biomaterials
  • Atomic and Molecular Physics, and Optics
  • Biomedical Engineering

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