May 2006
Volume 47, Issue 13
ARVO Annual Meeting Abstract  |   May 2006
New Phase–Retrieval Algorithm for Reconstructing Point–Spread Function of the Human Eye
Author Affiliations & Notes
  • T. Noda
    Disability and Rehabilitation Research, National Institute of Sensory Organs (NISO), Tokyo, Japan
  • K. Ohnuma
    Faculty of Engineering,, Chiba University, Tokyo, Japan
  • Y. Iida
    Graduate School of Science and Technology, Chiba University, Chiba, Japan
  • M. Shibutani
    Topcon Corporation, Tokyo, Japan
  • K. Kobayashi
    Topcon Corporation, Tokyo, Japan
  • Footnotes
    Commercial Relationships  T. Noda, None; K. Ohnuma, None; Y. Iida, None; M. Shibutani, Topcon, E; K. Kobayashi, Topcon, E.
  • Footnotes
    Support  None
Investigative Ophthalmology & Visual Science May 2006, Vol.47, 1193. doi:
  • Views
  • Share
  • Tools
    • Alerts
      This feature is available to authenticated users only.
      Sign In or Create an Account ×
    • Get Citation

      T. Noda, K. Ohnuma, Y. Iida, M. Shibutani, K. Kobayashi; New Phase–Retrieval Algorithm for Reconstructing Point–Spread Function of the Human Eye . Invest. Ophthalmol. Vis. Sci. 2006;47(13):1193.

      Download citation file:

      © ARVO (1962-2015); The Authors (2016-present)

  • Supplements

Purpose: : The correct ocular modulation transfer function (MTF) in the full spatial frequency range and the ocular phase transfer function (PTF) in the low spatial frequency range can be obtained with the double–pass point–spread function (PSF) measurement system using different aperture sizes. However, for reconstructing the correct single–pass PSF, the ocular PTF in the high spatial–frequency range is required. We propose a new phase–retrieval algorithm to replace the iterative methods in space and the Fourier domain.

Methods: : Computer simulation shows that the real and imaginary parts of the ocular optical transfer function (OTF) have changed gradually in a wave–like fashion. Therefore, the values of the real and imaginary parts of the ocular OTF can be extrapolated from the low frequency to the high spatial frequency value using the definition that the sum of the second intensity of a real part and that of an imaginary part of the OTF is equal to that of MTF as the limited condition. This technique was tested with many PSFs deduced from the wavefronts by changing the Zernike coefficient to the 4th order by computer and also with double–pass data obtained using Topcon prototype equipment.

Results: : The degree of the recovery was estimated by the similarity of the PSF using the correlation between the original PSF and each PSF, which was obtained before and after phase recovery. The mean correlation coefficient was 0.1 before phase recovery and 0.38 after phase recovery. The expected PSFs were reconstructed from double–pass data obtained by Topcon prototype equipment, indicating that this algorithm is effective.

Conclusions: : We proposed a new phase–retrieval algorithm with the correct ocular MTF and the limited ocular PTF. Moreover, the validity of this technique was verified and this algorithm will likely be effective for clinical application.

Keywords: optical properties • image processing 

This PDF is available to Subscribers Only

Sign in or purchase a subscription to access this content. ×

You must be signed into an individual account to use this feature.