Model of the Human Eye Based on ABCD Matrix

Similar documents
Optics and Optical design Problems

The Nature of Light. Light is a propagating electromagnetic waves

OPTICS. (b) 3 3. (d) (c) , A small piece

3.5.1 Single slit diffraction

3.5.1 Single slit diffraction

Digital approximation to extended depth of field in no telecentric imaging systems

MATH 2530: WORKSHEET 7. x 2 y dz dy dx =

Fig.1. Let a source of monochromatic light be incident on a slit of finite width a, as shown in Fig. 1.

On the Detection of Step Edges in Algorithms Based on Gradient Vector Analysis

Math 35 Review Sheet, Spring 2014

a < a+ x < a+2 x < < a+n x = b, n A i n f(x i ) x. i=1 i=1

9.1 apply the distance and midpoint formulas

Radiation & Matter 3: Refraction

Stained Glass Design. Teaching Goals:

CHAPTER III IMAGE DEWARPING (CALIBRATION) PROCEDURE

If f(x, y) is a surface that lies above r(t), we can think about the area between the surface and the curve.

Unit #9 : Definite Integral Properties, Fundamental Theorem of Calculus

A Study on Eye Gaze Estimation Method Based on Cornea Model of Human Eye

MATH 25 CLASS 5 NOTES, SEP

Modeling and Simulation of Short Range 3D Triangulation-Based Laser Scanning System

The Distributed Data Access Schemes in Lambda Grid Networks

International Journal of Mechanical Engineering and Applications

International Conference on Mechanics, Materials and Structural Engineering (ICMMSE 2016)

2. What are the types of diffraction and give the differences between them? (June 2005, June 2011)

Dynamic Programming. Andreas Klappenecker. [partially based on slides by Prof. Welch] Monday, September 24, 2012

Complete Coverage Path Planning of Mobile Robot Based on Dynamic Programming Algorithm Peng Zhou, Zhong-min Wang, Zhen-nan Li, Yang Li

10.5 Graphing Quadratic Functions

Chapter Spline Method of Interpolation More Examples Electrical Engineering

Chapter 2 Sensitivity Analysis: Differential Calculus of Models

Step-Voltage Regulator Model Test System

Computing offsets of freeform curves using quadratic trigonometric splines

1. SEQUENCES INVOLVING EXPONENTIAL GROWTH (GEOMETRIC SEQUENCES)

Power Transmittance of a Laterally Shifted Gaussian Beam through a Circular Aperture

Ultra-short pulse propagation in complex optical systems

International Journal of Scientific & Engineering Research, Volume 4, Issue 12, December ISSN

Section 10.4 Hyperbolas

ZZ - Advanced Math Review 2017

A Transportation Problem Analysed by a New Ranking Method

PRISMS. Don t see exactly what you are looking for? CVI Laser Optics specializes in prototype to volume production manufacturing!

Ray surface intersections

A TRIANGULAR FINITE ELEMENT FOR PLANE ELASTICITY WITH IN- PLANE ROTATION Dr. Attia Mousa 1 and Eng. Salah M. Tayeh 2

Illumination and Shading

Engineer To Engineer Note

A Fast Imaging Algorithm for Near Field SAR

prisms Prisms Specifications Catalogue number BK7 Wedge, Beam Deviation, deg

Unit 5 Vocabulary. A function is a special relationship where each input has a single output.

Geometric transformations

NATIONAL UNIVERSITY OF SINGAPORE. Imaging FCS. A plugin for ImageJ. Thorsten Wohland August 17, 2015

6.3 Volumes. Just as area is always positive, so is volume and our attitudes towards finding it.

GENERATING ORTHOIMAGES FOR CLOSE-RANGE OBJECTS BY AUTOMATICALLY DETECTING BREAKLINES

Class-XI Mathematics Conic Sections Chapter-11 Chapter Notes Key Concepts

USING HOUGH TRANSFORM IN LINE EXTRACTION

A New Learning Algorithm for the MAXQ Hierarchical Reinforcement Learning Method

Performance analysis of QoS mechanisms in IP networks

Physics 152. Diffraction. Difrraction Gratings. Announcements. Friday, February 2, 2007

Math 464 Fall 2012 Notes on Marginal and Conditional Densities October 18, 2012

Yoplait with Areas and Volumes

Optical Engineering. Course outline. Exercise. Generation of upright, magnified image

Pointwise convergence need not behave well with respect to standard properties such as continuity.

LECT-10, S-1 FP2P08, Javed I.

)

Tilt-Sensing with Kionix MEMS Accelerometers

Deposit a Technical Report in PubRep

CSCI1950 Z Computa4onal Methods for Biology Lecture 2. Ben Raphael January 26, hhp://cs.brown.edu/courses/csci1950 z/ Outline

such that the S i cover S, or equivalently S

9 Graph Cutting Procedures

Introduction Transformation formulae Polar graphs Standard curves Polar equations Test GRAPHS INU0114/514 (MATHS 1)

A REINFORCEMENT LEARNING APPROACH TO SCHEDULING DUAL-ARMED CLUSTER TOOLS WITH TIME VARIATIONS

Cone Cluster Labeling for Support Vector Clustering

D-shaped photonic crystal fiber plasmonic refractive index sensor based on gold grating

F. R. K. Chung y. University ofpennsylvania. Philadelphia, Pennsylvania R. L. Graham. AT&T Labs - Research. March 2,1997.

Introduction to Integration

II. THE ALGORITHM. A. Depth Map Processing

Approximation by NURBS with free knots

Vulnerability Analysis of Electric Power Communication Network. Yucong Wu

File name: Supplementary Information Description: Supplementary Figures and Supplementary Tables

Optimization of Air Bearing Slider Design

1 Drawing 3D Objects in Adobe Illustrator

Solutions to Math 41 Final Exam December 12, 2011

INTRODUCTION TO SIMPLICIAL COMPLEXES

The Reciprocal Function Family. Objectives To graph reciprocal functions To graph translations of reciprocal functions

Improper Integrals. October 4, 2017

3 Talk to Us First. Reasons You Should. Non-Contact Temperature Measurement Solutions

Math 142, Exam 1 Information.

15. 3D-Reconstruction from Vanishing Points

HW Stereotactic Targeting

Constrained Optimization. February 29

Topology-aware routing in structured peer-to-peer overlay networks

A complete analysis of the laser beam deflection systems used in cantilever-based systems

Progressive Transmission of Textured Graphic Model Over IP Networks

Final. Mark Scheme. Physics A PHYA2. (Specification 2450) Unit 2: Mechanics, materials and waves. General Certificate of Education (A-level) June 2011

MA1008. Calculus and Linear Algebra for Engineers. Course Notes for Section B. Stephen Wills. Department of Mathematics. University College Cork

1 Quad-Edge Construction Operators

12-B FRACTIONS AND DECIMALS

Spectral Analysis of MCDF Operations in Image Processing

Presentation Martin Randers

Angle properties of lines and polygons

CHAPTER 5 Spline Approximation of Functions and Data

a(e, x) = x. Diagrammatically, this is encoded as the following commutative diagrams / X

CKX-CCSW Confluency checker INSTRUCTIONS. Software for research/education This software is designed to use in research and or education fields.

Transcription:

Model of the Humn Eye Bsed on ABCD Mtrix G. Díz González nd M. Dvid Iturbe Cstillo Cittion: AIP Conf. Proc. 992, 108 (2008); doi: 10.1063/1.2926797 View online: http://dx.doi.org/10.1063/1.2926797 View Tble of Contents: http://proceedings.ip.org/dbt/dbt.jsp?key=apcpcs&volume=992&issue=1 Published by the Americn Institute of Physics. Relted Articles Computtionl nlysis of responses of wedge-shped-tip opticl fiber probe in bubble mesurement Rev. Sci. Instrum. 83, 075107 (2012) Efficient evnescent wve coupling conditions for wveguide-integrted thin-film Si/Ge photodetectors on siliconon-insultor/germnium-on-insultor substrtes J. Appl. Phys. 110, 083115 (2011) Triple-pth collector optics for grzing incident x-ry emission spectrometer Rev. Sci. Instrum. 82, 073108 (2011) Micromirror rrys to ssess luminescent nno-objects Rev. Sci. Instrum. 82, 053905 (2011) The geometricl-optics lw of reflection for electromgnetic wves in mgneticlly confined plsms: Speculr reflection of rys t the lst closed flux surfce Phys. Plsms 17, 104501 (2010) Additionl informtion on AIP Conf. Proc. Journl Homepge: http://proceedings.ip.org/ Journl Informtion: http://proceedings.ip.org/bout/bout_the_proceedings Top downlods: http://proceedings.ip.org/dbt/most_downloded.jsp?key=apcpcs Informtion for Authors: http://proceedings.ip.org/uthors/informtion_for_uthors

Model of the Humn Eye Bsed on ABCD Mtrix G. Diz Gonzlez nd M. Dvid Iturbe Cstillo Instituto Ncionl de Astrofisic, Optic y Electronic. Luis Enrique Erro No. 1, CP 72840 Tonntzintl, Puebl, Mexico. Abstrct. At the moment severl models of the humn eye exist, nevertheless the grdient index models of the humn lens (crystlline) hve received little ttention in optometry nd vision sciences, lthough they consider how the refrctive index nd the refrcting power cn chnge with the ccommodtion. On the other hnd, in study fields like ophthlmology nd optometry, exist cses where there is lck of informtion bout the fctors tht influence the chnge of refrctive power nd therefore the focl length of the eye. By such reson, in this pper we present model of the humn eye bsed on the ABCD mtrix in order to describe the propgtion of light rys, tht cn be understood by professionl people in optics, ophthlmology nd optometry, nd the dispersions of the different oculr mediums re tken into ccount,. The im of the model is to obtin dt bout the refrctive power of the eye under different considertions, such s: chnges in wvelength, rdius of curvture nd thicknesses of the oculr mediums. We present results of simultions in Mtlb of our model, ssuming tht the object is punctul nd is plced to certin distnce of the eye, nd considering t the beginning to the crystlline like medium with fixed refrctive index, nd fter like grdient lens. By mens of grphs, we show the totl refrctive power of the eye nd its form nd type of dependence with respect to vritions in rdius of curvture nd thicknesses of the corne nd crystlline, s well s vritions in the thickness of the previous nd lter cmers. Keywords: Visul Optics, geometric optics, ABCD mtrix. PACS:42.66.Ct;42.15.Dp. 1. INTRODUCTION Our eyes re the min orgn to cpture the light informtion; its shpe llows forming imges. In tht sense it cn be considered s cmer, where the imge is formed in the retin. The structures of the eye include the following elements: corne, queous humor, lens, vitreous humor nd retin (see figure 1). The eye cn present some refrctive nomlies tht cn due to indequte curvture rdius of the corne nd lens or thickness of the different elements of the eye nd position of the retin. Whtever the cuse of the refrctive error, it cn be corrected with pproprite ophthlmic lenses, which include spectcles, contct nd intr-oculr lenses. Modem techniques include the refrctive surgery with pulsed uv lsers to correct the nomlies. However, the knowledge of the influence of ech element of the eye on the totl power of the eye is importnt in order to decide which is the best correction for the specific problem. Lens Thitkness Previous Corne Corne Thickii Lter Corne Aqrieous Hrrnroi 0 Hic Neivo FIGURE 1. Structure of the humn eye s horizontl section seen from bove. CP992, RIAO/OPTILAS 2007, edited by N. U. Wetter nd J. Frejlich 2008 Americn Institute of Physics 978-0-7354-0511-0/08/$23.00 108

In this pper we present model of the eye bsed on the ABCD mtrices to clculte the refrctive power under different prmeters such s curvture rdius nd thickness of the elements tht constitute the eye. A comprison between the results obtined considering the lens s constnt nd grdient refrctive index is mde. The wvelength dependence of the refrctive index is tken into ccount. 2. ABCD MATRIX FOR THE EYE As it is well known ABCD mtrices re used in geometricl optics to clculte the propgtion of rys in opticl systems. The prmeters tht cn be clculted with this method re the high nd slope of the rys. In our cse three types of mtrices re used in order to describe ll the opticl elements tht constitute the eye. The simplest mtrix tht we re going to use is tht used to describe the propgtion of ry distnce d in free spce, given by 1 d 0 1 In order to chrcterize the rdius of curvture R of two medi with refrctive indexes tij nd «2 we used the following mtrix [1] 1 0 -("2-"i) Finlly the grdient refrctive index of the lens ws considered s qudrtic vrition of the refrctive index with the distnce from the opticl xis, being gretest in the center nd lest in the periphery. The ABCD mtrix ssocited to medi of thickness d with this type of refrctive index is given by fd cos u L' {!] Lsen [i fd cos u where L is correction fctor [2]. The complete opticl system tht we re going to considered is shown in figure 2. For simplicity only on xis point objects re nlyzed nd the minimum distnce of this object from the eye is considered s 6 m. Punctul Object ' "HA i Aqueous "tir: Imge (Retin) \v ^^^1 Vitreous ^ * i "K LRJ 1 /* FIGURE 2. Squeme of the opticl system considered. R, n nd d is curvture rdius, refrctive index nd distnce respectively. The mentioned considertions llowed using typicl prmeter of the eye. These vlues re shown in tble 1, nd they were used to clculte the opticl power of the eye considering tht the refrctive index of the different elements follow the formul given by Nvrro [3,4], see tble 2. 109

TABLE (1). Rdius of curvture nd thickness of the different elements of the eye. Description Symbol Typicl vlue Distnce from the object to the first surfce Corne thickness Aqueous thickness Lens thickness Vitreous thickness Curvture rdius of the previous corne Curvture rdius of the lter corne Curvture rdius of the previous lens Curvture rdius of the lter lens do 6 m ^cor Ri R2 Rs R4 0.5 mm 3 mm 4 mm 16.6 mm 7.8 mm 6.7 mm 10 mm -6 mm TABLE (2). Refrctive index of the opticl elements of the eye for different wvelengths. Wvelength (nm) Refrctive Index 400 550 700 Corne 1.3898 1.3774 1.3730 Aqueous 1.3515 1.3388 1.3343 Lens 1.4387 1.4218 1.4162 Vitreous 1.3494 1.3374 1.3331 3. RESULTS Considering point source set t 6 m from the first surfce of the eye nd tht the mximum rdius if the lens is 4.5 mm we considered set of rys rriving to the corne to clculte the totl power of the eye. Initilly, the thickness of the different element ws chnged in order to see the min influence on the totl power. In figures 3-5 we show the results obtined when the thickness of the corne from 300 (jm to 700 (im, the lens from 3 mm to 5 mm nd queous humour from 2 mm to 4 mm ws vried respectively. The dependence with the wvelength shows tht the power is smller for lrger wvelengths. When the grdient of the refrctive index of the lens is considered the power is lrger. The generl behviour observed ws tht when the thickness ws incresed the power ws reduced in liner wy. Except for the grdient cse, when the thickness of the lens ws vried. In this cse n incresing in the thickness of the lens produced lrger power, but, s in the other cses, in liner wy. 610. S3.5. 400r --TOOr 75.0-, 745. 400 nm 550 nm 700 nm 3.0. 740. 6^5' Ts- I 6.0. 'H..2 6I.5. Vei.o- l^o. fi..2 725. S 720-,2 60.5.,2 71.5. 60.0. 70.5. 70.0. Corne thickness iim] Corne thickness iim] FIGURE 3. Totl power of the eye s function of the thickness of the corne for wvelengths of 400 nm, 550 nm nd 700 nm. ) No grdient nd b) grdient refrctive index of the lens. 110

610. eseo. 625-1620. 5..2 61.5. S 61.0. S 400 r 550r 700 r 3B 4.0 4.3 45 Lens thickness [mr^ Lens thickness [nm] FIGURE 4. Totl power of the eye s function of the thickness of the lens for wvelengths of 400 nm, 550 nm nd 700 nm. ) No grdient nd b) grdient refrctive index of the lens. 400r TOOr 400r -TOOr Aqueous tnckness [mrj l 60.5-60.0- ss- 23 2.5 28 3.0 33 -I- 3.5 3.8 Aqueous thickness [mr^ FIGURE 5. Totl power of the eye s function of the thickness of the queous humour for wvelengths of 400, 550 nd 700 nm. ) No grdient nd b) grdient refrctive index of the lens. Finlly the totl power of the eye ws obtined s function of rdius of curvture ws considered for the different elements. The vrition ws the following for the different elements: nterior corne from 6.8 mm to 8.8 mm, nterior lens from 9 mm to 11 mm nd posterior lens from -5 mm to -7 mm. The results re shown in figures from 6 to 8. Where qudrtic dependence ws obtined for the incresing of the curvture rdius. Ill

400r --700r 82-, 400r 550r 700 r 80-78- M" 76-.2 62. Q I.2 74- Q I I ' 1 ' 1 ' 1 7.0 7.3 7.5 7B o 3 s Previous Corne Rdus [mrj I ' 1 ' 1 ' 1 68 7.0 7.3 7.5 7B 80 83 85 Previous Corne Rdus [mrj FIGURE 6. Totl power of the eye s function of the curvture rdius of the nterior corne for wvelengths of 400 nm, 550 nm nd 700 nm. ) No grdient nd b) grdient refrctive index of the lens. 82. 80. 400r -700r 78-2" 76-0) 'H..2 74. 9.5 9.8 10.0 10.3 10.5 10.8 FVevious Lens Rdus [mm] 9.3 9.5 9.8 10.0 10.3 10.5 108 Previous Lens Rdus [mm] FIGURE 7. Totl power of the eye s function of the curvture rdius of the nterior lens for wvelengths of 400 nm, 550 nm nd 700 nm. ) No grdient nd b) grdient refrctive index of the lens. 112

400r -700r 78- M" 76..2 74- I 72.. 70- Lter Lens Rdus [mn^ Lter Lens Rdus [mn^ FIGURE 8. Totl power of the eye s function of the curvture rdius of the posterior lens for wvelengths of 400 nm, 550 nm nd 700 nm. ) No grdient nd b) grdient refrctive index of the lens. 4. CONCLUSIONS A model of the eye bsed on ABCD mtrices for the clcultion of the prmeters of the rys ws presented. A comprison is mde from the no grdient nd grdient index of refrction of the lens. Different dependences of the totl power of the eye were nlyzed with this model: thickness nd curvture rdius of the opticl elements for different wvelengths. A liner dependence ws obtined in the cse of thickness vrition nd qudrtic dependence ws obtined in the cse of curvture rdius vrition. A lrger power ws obtined in the grdient cse for ll the dependences. ACKNOWLEDGMENTS The uthors cknowledge finncil support from Consejo Ncionl de Cienci y Tecnologi Mexico (grnt SEP- 2005-C01-51146-F). REFERENCES 1. Bh E. A. Sleh nd Mlvin Crl Teich, Fundmentls ofphotonics, John Wiley & Sons, 1991, pp. 27-30. 2. Joseph T. Verdeyen, L^er ii/ertrow/ci. Prentice Hll, New Jersey, 1981, pp. 43-47. 3. R. Nvrro, J. Sntmri nd J. Bescos, "Accommodtion-dependent model of the humn eye with spherics," J. Opt. Soc. Am. A 2, 1273-1281(1985). 4. Dvid A. Atchison nd George Smith, "Chromtic dispersions of the oculr medi of humn eyes," J. Opt. Soc. Am. A 22(1), 29-37 (2005). 113