Model-based iterative reconstruction for spectral-domain optical coherence tomography

Research output: Chapter in Book/Report/Conference proceedingConference contribution


  • Jonathan H. Mason
  • Yvonne Reinwald
  • Ying Yang
  • Sarah L. Waters
  • Pierre O. Bagnaninchi

External organisations

  • Keele University
  • Nottingham Trent University
  • University of Oxford


Spectral domain optical coherence tomography (OCT) offers high resolution multidimensional imaging, but generally suffers from defocussing, intensity falloff and shot noise, causing artifacts and image degradation along the imaging depth. In this work, we develop an iterative statistical reconstruction technique, based upon the interferometric synthetic aperture microscopy (ISAM) model with additive noise, to actively compensate for these effects. For the ISAM re-sampling, we use a non uniform FFT with Kaiser-Bessel interpolation, offering efficiency and high accuracy. We then employ an accelerated gradient descent based algorithm, to minimize the negative log-likelihood of the model, and include spatial or wavelet sparsity based penalty functions, to provide appropriate regularization for given image structures. We evaluate our approach with titanium oxide micro-bead and cucumber samples with a commercial spectral domain OCT system, under various subsampling regimes, and demonstrate superior image quality over traditional reconstruction and ISAM methods.


Original languageEnglish
Title of host publicationThree-Dimensional and Multidimensional Microscopy
Subtitle of host publicationImage Acquisition and Processing XXVI
EditorsThomas G. Brown, Tony Wilson
Publication statusPublished - 21 Feb 2019
EventSPIE BiOS: Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXVI - , United States
Duration: 5 Feb 20197 Feb 2019

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
ISSN (Print)1605-7422


ConferenceSPIE BiOS
Country/TerritoryUnited States