From Scattering to Wavefronts: What’S in Between? Michael Mrochen, Phd

From Scattering to Wavefronts: What’S in Between? Michael Mrochen, Phd

From Scattering to Wavefronts: What’s in between? Michael Mrochen, PhD Swiss Federal Institute of Technology Institute of Biomedical Engineering IROC Institute for Refractive and Oculoplastic Surgery Zürich Switzerland Foreword • This is a report on a work in progress ! • Geometric-optical methods are used to develop an analytical theory for surface scattering on rough surface sturctures (irregular structures). • Parts of this work are published in: – SPIE Proceedings Ophthalmic Technologies (1998,1999) – Laser Physics 12: 1239-1256 (2002) – Laser Physics 12: 1333-1348 (2002) Clinical observation: Hartmann -Shack and Tscherning wavefront measurements demonstrate an increased background noise when the tearfilm breaks up. Clinical observation: Hartmann -Shack and Tscherning wavefront measurements demonstrate an increased background noise before and after LASIK After LASIK Before LASIK Clinical observation: Some eyes have irregular surface structures that are not reasonably described in terms of modes (Zernike, Taylor, ...) Striae Cornea after complicated LASIK BSCVA: 20/50 decentered measurement Centered measurement Problem ! Clinical observations indicate that there are other sources of optical errors that are not detected or described or measured by the currently used wavefront sensors. -> Visual symptoms do not correlate well with wavefront data in such complicated cases Question ?! What are the optical effects of such irregular structures ? Irregular structures = surface roughness Optical effects of that might detoriate the image quality of the eye • Diffraction • Elastic light scattering (i.e. Mie - scattering) • Statistical refraction (roughness / irregularities) • Geometrical refraction (wavefront aberrations) ALL SURFACES IN NATURE ARE ROUGH Definition of surface structures h(x ) = i S(xi )+ξ (xi ) x xi mean profile hight h h(xi ) Hight at lattice site RMS - surface roughness The root mean square (rms) surface roughness describes the fluctuations of surface heights around the mean profile height n 1 2 wrms = ∑ ()h()xi − h n i=1 Surface hight distribution function 1 h2 p(h) = exp− 2π wrms 2wrms The height distribution function gives the propability of the emergence of height h at a given point of the surface. h Problems of rms - surface roughness and surface hight distribution function • Both surface representations give only the statistics at individual positions (xi) • They do not reflect correlations between two different points (x1, x2) • Different rough surfaces can have the same rms - roughness wrms and hight distribution functions p(h), but different height fluctuation frequencies (correlation radius). Correlation radius (length) The correlation radius is a measure for the averaged width of the grains of a rough surface (irregularity). The correlation radius can only be determined by analyzing the height - height correlation function for a measured surface structure (irregularity). Correlation radius = 50 a.u. Correlation radius = 25 a.u. Correlation radius = 15 a.u. Correlation radius = 4 a.u. Correlation radius r0 Small correlation radius Large correlation radius ? The human eye ? “Light scattering” “wavefront aberrations” statistical surface roughness / modal representation statistical optical effect of wavefront aberrations (Zernike, Taylor, Seidel, ...) Optical effect of rough surfaces f(x,y) Refractive index n1 Normal - vektor Light incidence α1 2 2 tan(α1) = f x + f y , ∂f (x, y) ∂f (x, y) f = , f = x ∂x y ∂y 2 2 2 σ = f x = f y α2 characteristic surface tilt Refracted beam Refractive index n2 n1 ⋅sin(α1) = n1 ⋅sin(α 2 ) Surface roughness characteristics Statistical distribution (Gaussian) of surface tilts 2 2 1 (f x + f y ) 2 2 p()f , f = exp− , σ 2 = f = f x y 2 2 x y 2πσ 2σ Large diameter a of the light spot that is shined onto the surface wavelength << correlation radius << light spot diameter λ << r0 << a Surface heights larger than the wavelength h >> λ Intensity distribution The intensity distribution in the retinal image plane is directly dependent on the statistical distribution function of the statistical rough surface ! I(xr , yr , feye ) ~ p(σ ,r0 ,a) ~ p(h) 1 h2 p(h) = exp− 2π wrms 2wrms Details are published in: Laser Physics 12: 1239-1256 (2002) and Laser Physics 12: 1333-1348 (2002) Point spread function in the retinal plane of the eye for variouse surface roughnesses σ 1 = 0 < σ 2 < σ 3 < σ 4 < σ 5 = 0.4 Optical consequences • Intensity distribution in the retinal plane is a function of the surface roughness / structure • Increased noise during wavefront sensing might be caused by “rough” surface structures. • Rough or uneven structures cause a loss of optical resolution in the retinal plane ? Threshold for detoriation of vision ? Summary • Is modal wavefront (i.e. Zernike) representation adequate for representing the optical properties of the human eye - at least in a few special cases. ? • Should optical diagnosis of the eye include the analysis of statistical optical effects ? • Will the analysis statistical and modal imaging errors help to explain visual symptoms and performance ? Thank you !.

View Full Text

Details

  • File Type
    pdf
  • Upload Time
    -
  • Content Languages
    English
  • Upload User
    Anonymous/Not logged-in
  • File Pages
    28 Page
  • File Size
    -

Download

Channel Download Status
Express Download Enable

Copyright

We respect the copyrights and intellectual property rights of all users. All uploaded documents are either original works of the uploader or authorized works of the rightful owners.

  • Not to be reproduced or distributed without explicit permission.
  • Not used for commercial purposes outside of approved use cases.
  • Not used to infringe on the rights of the original creators.
  • If you believe any content infringes your copyright, please contact us immediately.

Support

For help with questions, suggestions, or problems, please contact us