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Things to be Discussed

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Title: Things to be Discussed


1
Things to be Discussed
  • Previous work.
  • Error representation, percentage or value - SD.

2
Simulation of Intrastromal Photo Refractive
Keratectomy with Picosecond Laser
  • Presented By
  • Ahmed Mohamed Abdul hameed
  • Supervised By
  • Dr. Yasser Mostafa Kadah
  • Dr. Nahed Hussein Ali Solouma

3
Scope of the Work
  • To model the process of the cavity collapse
    inside the cornea after the application of the
    laser, for myopic cases.
  • To determine the accuracy of the model
    calculations and predictions.
  • Show corneal deformation graphically.

4
Presentation Agenda
  • The human eye and refractive errors.
  • Refractive surgeries.
  • Laser tissue interactions.
  • ISPRK modeling.
  • Finite element modeling.
  • The model in steps for myopic cases.
  • The model in blocks.
  • Astigmatism modeling and simulation.
  • Results.
  • Conclusion and future work.

5
Eye Anatomy
6
The Cornea
  • Functions
  • Barrier protection.
  • UV light filtration.
  • Refraction
  • Cornea provides 65-75 of eye's focusing power.
  • Unlike lens, cornea's refraction power is fixed.

7
Corneal Layers
  • Five distinct layers
  • Epithelium
  • Bowman's Membrane
  • Stroma (90 of corneal thickness)
  • Descemet's Membrane
  • Endothelium

8
Eye refractive errors
  • 1. Nearsightedness (myopia)Unfocused images
    results from light being focused before it
    reaches the retina.
  • 2. Farsightedness (hyperopia)This results from
    light not being focused strongly enough to form a
    clear image on the retina.

9
Eye refractive errors
  • 3. Astigmatism Cornea is football shaped, not
    round. This leads to images being unfocused.

10
Presentation Agenda
  • The human eye and refractive errors.
  • Refractive surgeries.
  • Laser tissue interactions.
  • ISPRK modeling.
  • Finite element modeling.
  • The model in steps for myopic cases.
  • The model in blocks.
  • Astigmatism modeling and simulation.
  • Results.
  • Conclusion and future work.

11
Sight correction laser surgeries
  • PRK Photorefractive Keratectomy.
  • LASIK Laser Assisted In-Situ Keratomileusis.
  • ISPRK Intrastromal photorefractive surgery.

12
PRK
  • The surface of the cornea (surface epithelium) is
    reshaped using an Excimer laser.

13
Characteristics
  • Advantages
  • Good optical corrections is obtained.
  • Disadvantages
  • Regression of the achieved refractive power.
  • Appearance of sub epithelial haze.
  • Unpredictable healing of the cornea.

14
LASIK
  • A thin surface flap of the cornea is created
    using a microkeratome (or Intralase laser) to
    expose underlying tissues (stromal bed).
  • The surgeon then applies the Excimer laser beam
    to create the refractive ablation within the
    deeper layers of the cornea.
  • The flap is returned to its preoperative position
    .

15
Characteristics
  • Advantages
  • Good optical corrections is obtained, specially
    for lower degree of refractive errors.
  • Nearly no regression occurs.
  • Disadvantages
  • Dry eye syndrome commonly follows LASIK.
  • Infections could occur as a result of the flap
    creation.

16
ISPRK
  • A pulsed laser is used to photo disrupt a
    selected starting point in the stroma, then the
    beam is focused in a patterned sequence to other
    discrete points in the stroma.
  • Each layer is created using subsequent laser
    pulses in a spiral pattern.

17
ISPRK
  • The resultant photo disrupted tissue creates a
    layer which is centro symmetrical around the
    optical axis. A plurality of layers is removed to
    create a cavity in the stroma, that when it
    collapses, the corneal curvature is changed.

18
Characteristics
  • Advantages
  • No damage for corneal surface, as no flap is
    created.
  • Nearly no regression or haze occurs.
  • Can be used for higher degrees of refractive
    errors.
  • Disadvantages
  • It is not always possible to evaporate a
    homogenous cavity inside the cornea.

19
Presentation Agenda
  • The human eye and refractive errors.
  • Refractive surgeries.
  • Laser tissue interactions.
  • ISPRK modeling.
  • Finite element modeling.
  • The model in steps for myopic cases.
  • The model in blocks.
  • Astigmatism modeling and simulation.
  • Results.
  • Conclusion and future work.

20
Laser tissue interactions
  • Photo ablation, using Excimer lasers.
  • Plasma induced ablation, using NdYLF.

21
Types of laser Photo ablation Laser
  • Used in both PRK and LAISK surgeries.
  • Laser pulses cause direct breaking of molecular
    bonds within the tissue by absorbing high energy
    UV photons
  • (Photo ablation).
  • Commonly used types Excimer lasers (ArF and
    KrF).

22
Types of laser Plasma induced ablation Laser
  • Used in ISPRK surgery.
  • Stromal tissue is ablated by the ionizing plasma
    formation (Plasma induced ablation).
  • Plasma is formed by means of the inverse
    bremsstrahlung process, which results from the
    intense local electric field created by the laser
    beam.
  • The local electric field must be intense enough
    to achieve optical breakdown.
  • Commonly used laser types NdYLF, NdYAG.

23
Why using picosecond pulses?
  • To photodisrupt stromal tissue, the irradiance of
    the laser pulses should be equal to the optical
    breakdown threshold of the stromal tissue.
  • Irradiance pulse energy/(pulse duration spot
    size).
  • To achieve optical breakdown we need the
    followings
  • Sufficient pulse energy (About 40 micro Joules).
  • Relatively short laser pulse (In the range of
    picoseconds).
  • Relatively small spot size (About 10 micro
    meters).

24
Presentation Agenda
  • The human eye and refractive errors.
  • Refractive surgeries.
  • Laser tissue interactions.
  • ISPRK modeling.
  • Finite element modeling.
  • The model in steps for myopic cases.
  • The model in blocks.
  • Astigmatism modeling and simulation.
  • Results.
  • Conclusion and future work.

25
Surgery Modeling
  • 1. Geometric Modeling Based upon that the
    collapse of the cavity is equivalent to removing
    a lens of the same shape as the cavity, so thin
    lens formula is used.
  • 2. Finite element modeling (FEM) The cornea is
    subdivided into a certain number of elements, the
    problem is solved for each one, then a total
    solution is obtained by assembling the individual
    solutions.
  • Finite element modeling incorporates the
    biomechanical effects of the cornea into its
    structure.

26
Why using FEM
  • Advantageous for irregular geometry.
  • Suitable for unusual boundary conditions.
  • Incorporates biomechanical properties.

27
Presentation Agenda
  • The human eye and refractive errors.
  • Refractive surgeries.
  • Laser tissue interactions.
  • ISPRK modeling.
  • Finite element modeling.
  • The model in steps for myopic cases.
  • The model in blocks.
  • Astigmatism modeling and simulation.
  • Results.
  • Conclusion and future work.

28
Finite elements
  • Each element consists of a number of nodes.
  • Each element type has a specific shape function
    that is used to predict intermediate values
    between its nodes.

29
Finite element equations
  • Each element has a set of equations describing
    its structural behavior, the main equations are
  • The equations and shape functions are arranged to
    form the element stiffness matrix.





30
Finite element equations
  • The material properties is substituted into the
    stiffness matrix.
  • An assembly process is made to assemble all
    elements stiffness matrices to form the total
    stiffness matrix.
  • Boundary conditions and loads are substituted
    into the total stiffness matrix.
  • Solving the next equation is the solution stage

31
Presentation Agenda
  • The human eye and refractive errors.
  • Refractive surgeries.
  • Laser tissue interactions.
  • ISPRK modeling.
  • Finite element modeling.
  • The model in steps for myopic cases.
  • The model in blocks.
  • Astigmatism modeling and simulation.
  • Results.
  • Conclusion and future work.

32
FEM basic steps
  • Preprocessing
  • Geometry building.
  • Material properties.
  • Meshing Create Nodes and Elements.
  • Represent the solution elements with an
    approximate continuous function (shape function).
  • Assemble elements to represent the entire
    problem.
  • Apply boundary conditions and loads.
  • Solution
  • Solve a set of equations simultaneously to obtain
    nodal results.
  • Postprocessing
  • Obtain other important information.

33
Model Outlines
  1. Nonlinear elastic isotropic model, using an
    exponential stress strain law.
  2. Axisymmetric geometry with fixed boundary
    conditions at the limbus.
  3. An overall material properties model for the
    cornea is used.
  4. The cavity was modeled as a gap inside the
    cornea. The gap behavior was controlled using
    contact pairs of elements.
  5. No temperature effects were considered.
  6. ANSYS is used to implement the model.

34
ANSYS Main Features
  • Large library for element types.
  • Ability to solve multiphysics problems.
  • Command driven program. Facility to create
    macros.
  • Dimensionless program. The implementer is
    responsible for his units.
  • Available contact technology.
  • Building the geometry into ANSYS or importing it.
  • Ability to animate results into video files.

35
ANSYS Overview
36
Geometry and Meshing
  • Geometry building
  • Bottom Up modeling.
  • Top down modeling.
  • Combination of both.
  • Import geometry from other programs or images.
  • Meshing Dividing the solution domain into a
    number of finite elements (structural elements)
  • Element type.
  • Material Model.
  • Element size.
  • Free or mapped meshing.

37
The used element type
  • A ten node element is used (Solid92 in ANSYS)
    that is well suited to model irregular
    boundaries. Each node has three degrees of
    freedom, translations in the nodal x, y, and z
    directions.
  • The element has structural capabilities, large
    deflection and large strain capabilities.
  • The element is relatively accurate, but requires
    more solution time than other structural
    elements.

38
Cavity Geometry and meshing
  • The cavity is created into the cornea, and its
    surfaces is meshed using contact elements.
  • Appropriate contact parameters is set for the
    current model.

39
Corneal Material Properties
  • Nonlinear stress strain curve.
  • Poissons ratio of 0.49.
  • Density 1.4e-6 Kg/mm3.
  • Index of refraction1.376.

40
Boundary Conditions and Loads
  • Apply Boundary Conditions Fixation of the cornea
    at the limbus. Applied on the attached nodes to
    the limbus.
  • Apply Load Intraocular pressure (IOP). Applied
    on the elements attached to the inner surface of
    the cornea.

41
Solution
  • Then the boundary conditions and loads are
    applied to following general equation
  • Stiffness matrix Displacement matrix
    load matrix
  • This equation is solved for the nodal
    displacement matrix, which is the solution step.

42
Postprocessing
  • Postprocessing step follows to calculate other
    important information, e.g. reaction forces,
    strainsetc. Also it is used to represent results
    graphically.

43
Postprocessing
  • Nodal displacement of the anterior surface of the
    cornea within 3.0mm diameter (Optical zone) is
    calculated, so new coordinates of the selected
    nodes is available.
  • 4 mm diameter nodes where tested, but the 3 mm
    gave closer results to the clinical data.

44
Corneal power calculation
  • Curve fitting is used to calculate the new
    corneal curvature (R), using the previously
    calculated nodal coordinates
  • Using least squares method, we find (R, a, b) to
    minimize
  • Corneal power in Diopters
  • To determine the power change, we first run the
    model with no cavity inside the cornea, then run
    it with the cavity and the change in corneal
    power is the difference between the two runs
  • ?D Dnew-Dold

45
Presentation Agenda
  • The human eye and refractive errors.
  • Refractive surgeries.
  • Laser tissue interactions.
  • ISPRK modeling.
  • Finite element modeling.
  • The model in steps for myopic cases.
  • The model in blocks.
  • Astigmatism modeling and simulation.
  • Results.
  • Conclusion and future work.

46
The Model in blocks
2.Geometry
1.Type of model (Structural)
3.Material properties
4.Element type
5.Meshing
No
Adequate element size
Yes
7.Create Contact Elements on the cavity
9.Apply Boundary conditions
6.Check elements
8.Apply Loads
No
No
Revise from step 2
Results acceptable
Graphical Results acceptable
12. Calculate Corneal power change
10.Solution
11.Post processing
Yes
47
Problems faced during Modeling
  • Uniformity of units for material properties load,
    geometry.
  • Selecting a suitable element type, with a
    sufficient number of nodes.
  • Cavity creation inside the cornea (geometry
    problem).
  • Contact management between anterior and posterior
    surfaces of the cavity.

48
Presentation Agenda
  • The human eye and refractive errors.
  • Refractive surgeries.
  • Laser tissue interactions.
  • ISPRK modeling.
  • Finite element modeling.
  • The model in steps for myopic cases.
  • The model in blocks.
  • Astigmatism modeling and simulation.
  • Results.
  • Conclusion and future work.

49
Astigmatism Modeling
  • The previous steps was followed except for the
    geometry, which is different.

50
Astigmatism Correction
  • The cavity shape is different too

51
Simulation
52
Power Change
  • Now we calculate curvature in the horizontal and
    vertical directions, using also curve fitting.
    Then we get the difference between them.
  • For the current simulation the difference was
    -7.4 D.
  • After the solution was done the difference became
    2 D.
  • This shows that the cavity needs to be modified
    to achieve the appropriate correction, as an
    overcorrection has occurred.

53
Presentation Agenda
  • The human eye and refractive errors.
  • Refractive surgeries.
  • Laser tissue interactions.
  • ISPRK modeling.
  • Finite element modeling.
  • The model in steps for myopic cases.
  • The model in blocks.
  • Astigmatism modeling and simulation.
  • Results.
  • Conclusion and future work.

54
Results
 
  • Model results for three cavity dimensions,
    compared with an old 2D FEM model
  • The first column contains three actual clinical
    treatment categories.

Error 3D FEM (D) Error 2D FEM (D) Diopter change (D) Cavity Dimensions
3.54 11.7 28.3 14.5 11.3 100?m, 4mm 1
0.64 13 27.6 16.7 13.083 120?m, 4mm 2
3.06 19 14.8 22.5 19.6 120?m, 3.2mm 3
55
Results
  • The following table compares the results with the
    actual individual 9 cases

Error 3 D Model Error 2 D Model Power Change Cavity Dimensions
0.4 11.7 3.2 14.5 11.3 100?m, 4mm 1
0.4 11.7 3.2 14.5 11.3 100?m, 4mm 2
0.12 12.62 4.2 16.7 12.5 120?m, 4mm 3
1.32 12.62 5.4 16.7 11.3 120?m, 4mm 4
1.38 12.62 2.7 16.7 14 120?m, 4mm 5
3.18 12.62 0.9 16.7 15.8 120?m, 4mm 6
2.89 13.01 0.8 16.7 15.9 120?m, 4mm 7
1 19 4.5 22.5 18 120?m, 3.2mm 8
2.2 19 1.3 22.5 21.2 120?m, 3.2mm 9
56
Results
  • Average error with respect to the 9 individual
    cases shows that our model has a 9.3 error, and
    the 2D model has an error of 22.2 .
  • This data can be more judging on our model with
    the knowledge of the individual IOP values.

57
Intraocular pressure effect
  • The following table shows the effect of
    increasing the intraocular pressure (IOP), which
    is lowering the predicted power change.
  • Results agree with previous studies on IOP effect.

Difference Predicted (D) 20mmHg Predicted (D) 15mmHg Cavity Dimensions
0.6 11.1 11.7 100?m, 4mm 1
0.5 12.5 13 120?m, 4mm 2
0.65 18.35 19 120?m, 3.2mm 3
58
Presentation Agenda
  • The human eye and refractive errors.
  • Refractive surgeries.
  • Laser tissue interactions.
  • ISPRK modeling.
  • Finite element modeling.
  • The model in steps for myopic cases.
  • The model in blocks.
  • Astigmatism modeling and simulation.
  • Results.
  • Conclusion and future work.

59
Conclusion
  • A relatively accurate model of the intrastromal
    photorefractive keratectomy procedure was built,
    using finite element modeling, and predictions
    was compared with actual clinical treatments.
    Model error is 2.5 compared to categories, and
    less than 10 compared to individual cases.
  • A virtual astigmatic case was simulated, and
    correction was predicted but no clinical
    verification was made.

60
Future work
  • Verify the model with more clinical data,
    especially for the astigmatism cases.
  • Compare model results with laser experiments.
  • Modify the model to be a probabilistic one, this
    leads to results with an error range.
  • Wound healing effect modeling.
  • Include sclera deformation into the model.

61
Thank you very much.
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