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Fast acquisition and reconstruction of optical coherence tomography images via sparse representation.

Publication ,  Journal Article
Fang, L; Li, S; McNabb, RP; Nie, Q; Kuo, AN; Toth, CA; Izatt, JA; Farsiu, S
Published in: IEEE Trans Med Imaging
November 2013

In this paper, we present a novel technique, based on compressive sensing principles, for reconstruction and enhancement of multi-dimensional image data. Our method is a major improvement and generalization of the multi-scale sparsity based tomographic denoising (MSBTD) algorithm we recently introduced for reducing speckle noise. Our new technique exhibits several advantages over MSBTD, including its capability to simultaneously reduce noise and interpolate missing data. Unlike MSBTD, our new method does not require an a priori high-quality image from the target imaging subject and thus offers the potential to shorten clinical imaging sessions. This novel image restoration method, which we termed sparsity based simultaneous denoising and interpolation (SBSDI), utilizes sparse representation dictionaries constructed from previously collected datasets. We tested the SBSDI algorithm on retinal spectral domain optical coherence tomography images captured in the clinic. Experiments showed that the SBSDI algorithm qualitatively and quantitatively outperforms other state-of-the-art methods.

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Published In

IEEE Trans Med Imaging

DOI

EISSN

1558-254X

Publication Date

November 2013

Volume

32

Issue

11

Start / End Page

2034 / 2049

Location

United States

Related Subject Headings

  • Tomography, Optical Coherence
  • Retina
  • Optic Nerve
  • Nuclear Medicine & Medical Imaging
  • Mice
  • Macular Degeneration
  • Image Processing, Computer-Assisted
  • Humans
  • Animals
  • Algorithms
 

Citation

APA
Chicago
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MLA
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Fang, L., Li, S., McNabb, R. P., Nie, Q., Kuo, A. N., Toth, C. A., … Farsiu, S. (2013). Fast acquisition and reconstruction of optical coherence tomography images via sparse representation. IEEE Trans Med Imaging, 32(11), 2034–2049. https://doi.org/10.1109/TMI.2013.2271904
Fang, Leyuan, Shutao Li, Ryan P. McNabb, Qing Nie, Anthony N. Kuo, Cynthia A. Toth, Joseph A. Izatt, and Sina Farsiu. “Fast acquisition and reconstruction of optical coherence tomography images via sparse representation.IEEE Trans Med Imaging 32, no. 11 (November 2013): 2034–49. https://doi.org/10.1109/TMI.2013.2271904.
Fang L, Li S, McNabb RP, Nie Q, Kuo AN, Toth CA, et al. Fast acquisition and reconstruction of optical coherence tomography images via sparse representation. IEEE Trans Med Imaging. 2013 Nov;32(11):2034–49.
Fang, Leyuan, et al. “Fast acquisition and reconstruction of optical coherence tomography images via sparse representation.IEEE Trans Med Imaging, vol. 32, no. 11, Nov. 2013, pp. 2034–49. Pubmed, doi:10.1109/TMI.2013.2271904.
Fang L, Li S, McNabb RP, Nie Q, Kuo AN, Toth CA, Izatt JA, Farsiu S. Fast acquisition and reconstruction of optical coherence tomography images via sparse representation. IEEE Trans Med Imaging. 2013 Nov;32(11):2034–2049.

Published In

IEEE Trans Med Imaging

DOI

EISSN

1558-254X

Publication Date

November 2013

Volume

32

Issue

11

Start / End Page

2034 / 2049

Location

United States

Related Subject Headings

  • Tomography, Optical Coherence
  • Retina
  • Optic Nerve
  • Nuclear Medicine & Medical Imaging
  • Mice
  • Macular Degeneration
  • Image Processing, Computer-Assisted
  • Humans
  • Animals
  • Algorithms