Some results of spectrometric
investigation of the eye
D. Schweitzer
University of Jena, Department of
Ophthalmology/Experimental Ophthalmology
Bachstr.18, 07740 Jena, Germany
Introduction
The goal of spectrometric investigations is the
measurement of parameters, characterizing the metabolism.
Furthermore it can be distinguished between sizes which
change in a short time like blood flow, blood velocity or
oxygen saturation and parameters which are the result of
the long time effect of alterations in the metabolism
like the concentration of pigments or exudates.
Measuring the reflectance or fluorescence spectra at
selected sites one gets spectra over a distinguished
spectral range. From such spectra the kind of the
substances and its optical density can be determined.
Examples are the measurement of the fundus pigmentation,
the optical density of xanthophyll or the oxygen
saturation. Under certain circumstances the optical
density of pigments in different fundus layers can be
determined simultaneously.
If the fundus is illuminated by a specific
monochromatic light, pathologic alterations appear in an
optimal contrast in the 2-dimensional image. In such
monochromatic images the area of e.g. hard exudates can
be measured before and after laser coagulation as an
objective control of the effect of the therapy.
Methods and results
At the Department of Ophthalmology/Experimental
Ophthalmology of the University of Jena, two different
experimental arrangements were developed for
spectrometric investigations at the eye.

Fig. 1: Scheme of the confocal Jena Imaging
spectrometer.
The Imaging Spectrometry is based on the principle of
a fundus camera. A slit like field is illuminated at the
fundus by a 10ms xenon flash. This illuminated field is
confocally imaged onto the entrance slit of
polychromator. In the exit plane of the polychomator a
cooled multi channel plate (MCP) connected with a charge
coupled detector array (CCD) registers the spectral
dispersed light of each illuminated fundus site. Figure 1
shows the scheme of the Jena Imaging Spectrometer.
As the spectra of different locations are measured at
the same time, local differences in the distribution of
pigments can be measured very exactly. The result of a
spectral measurement is an imaging spectrum. One
coordinate corresponds to location of the measurement,
the second coordinate is the wavelength, and the third
coordinate in the measured intensity. Figure 2 is an
imaging spectrum of a cross section through a retinal
vessel.

Figure 2: Imaging Spectrum of a cut through a vessel.

Figure 3: Calculation of the oxygen saturation by the
approximation of a measured extinction spectrum by a
model function
From such a measurement the oxygen saturation is
calculated. As the reflectance is measured at a large
number of wavelengths, the oxygen saturation can be
calculated also in case of noisy signals. The
approximation of an extinction spectrum of a vessel by a
model function (fig.3) corresponds to an averaging over
the wavelength.
Simultaneously with the oxygen saturation the diameter
of vessels can be measured using the algorithm, developed
by Dr. Vilser at the University of Jena . That means, the
only required parameter for the determination of supply
and of consumption of oxygen is the velocity of blood.
Measurements of the oxygen saturation in vessels of
different diameters result in no correlation between the
oxygen saturation and the vessel diameter. That means the
used model function can be applied in the diameter range
between 50mm and 250mm. The mean arterio-venous
difference in the oxygen saturation of neighboring
vessels was determined as 34.5+- 11. This mean value is
in good correspondence with the value of the brain (30%).

Figure 4: Simultaneous measurement of oxygen
saturation in an artery and vein together with the
measurement of the vessel diameter
A further promising application of imaging
spectrometry is the determination of the optical density
of pigments in single fundus layers. For this calculation
a model function of the radiant transport is used, taking
the anatomical structure of the fundus into account.
Independent variables in such an approximation are the
absorption spectra and scattering spectra of the used
pigments or the tissues. During the approximation
process, a measured reflectance spectrum is adapted by
the model function by optimization of the parameters
corresponding to the optical density of single layers.
The deconvolution of the reflectance spectra of different
fundus sites results in a kind of functional
tomography" determining the local distribution in
the optical density of xanthophyll, melanin, or choroidal
blood.



Figure 5: Local distribution of melanin, choroidal
blood, and of xanthophyll, determined by connected
deconvolution of an imaging spectrum
The application of the imaging spectrometer for
locally resolved fluorescence measurements requires only
the insertion of an excitation filter and of a cut off
filter. In comparison with the reflected light, the
fluorescence light of the fundus is very weak. Fig.6
demonstrates the local distribution of natural
fluorophores of the fundus along a line of 1.5mm.

Figure 6. Local resolved fluorescence spectrum of a
human fundus
For the spectral measurement of the anterior part of
the eye an additional lens, corresponding to the human
lens, is mounted in front of the ophthalmoscope. In this
way the measuring slit is imaged at the lens. Now
fluorescence spectra of the lens, of the iris, or of the
sclera are measurable. Figure 7 is an imaging spectrum of
an intraocular artificial lens, measured in situ. The
bright fluorescence at 590nm seems to be caused by a
cellular growing at the lens.

Figure 7: Locally resolved fluorescence of an
artificial lens in situ
The second method for spectrometric investigation of
the fundus is the mapping spectrometry. The wavelengths
under whose illumination alterations appear with an
optimal contrast were determined by imaging spectrometry.
For detection of the 2-dimensional distribution of fundus
substances like hard exudates or xanthophyll, a laser
scanner ophthalmoscope with free selectable wavelength
was developed. In this arrangement an Ar laser pumps a
system of 3 dye lasers. Both 7 wavelengths of the pump
laser and the a continuously tunable wavelength range
between 540nm and 680nm are available. The intensity at
all wavelengths is controlled by means of an
acousto-optical modulator. Figure 8 shows the scheme of
the laser scanner ophthalmoscope with free selectable
wavelength.

Figure 8: Scheme of the laser scanner ophthalmoscope
with free selectable wavelength.
The available wavelength for the monochromatic fundus
illumination are given in figure 9.

Figure 9: Available dye laser wavelength range
The reduction in the area of hard exudates was
measured as effect of laser coagulation in diabetic
retinopathy using this arrangement. As an automatic tie
point detection and image registration was also
developed, an application was possible in the clinical
routine. The example in figure 10 shows a reduction in
the area of hard exudates 2 weeks and further 3 month
after coagulation in rings circling the fovea. In the
study for each case the relative area of exudates and its
alteration were determined.
 |
before treatment |
 |
2 weeks after treatment |
 |
3 months after treatment |
Figure 10: Example for the reduction of hard exudates
after coagulation in diabetic retinopathy
The detection of the optical density and of the local
distribution of xanthophyll is an interesting application
of mapping spectrometry. As a new information changes of
both parameters were found as the result of laser
coagulation in diabetic retinopathy.
As a protecting effect of xanthophyll is assumed, the
detection of a reduced optical density of xanthophyll
might be an early sign of a risk factor in getting ARMD.
Conclusions
Spectrometric methods allow a noninvasive and
touchless investigation of parameters both in
differential diagnosis and in the control of the effect
of a patient-specific therapy. Especially fluorescent
methods might be a key for a better understanding of
pathomechanisms.
References:
Schweitzer D, Hammer M, Scibor M: Imaging Spectrometry
in Ophthalmology- Principle and Application in
Microcirculation and in Investigation of Pigments.
Ophthalmic Research 1996, 28(suppl 2):37-44
Schweitzer D, Leistritz L, Hammer M, Scibor M, Bartsch
U, Strobel J: Calibration - free measurement of the
oxygen saturation in retinal vessels of men. in Parel JM,
Ren Q, Joos KM(eds) Ophthalmic technologies. V. Progress
in Biomedical Optics. SPIE 1995; Vol. 2393: 210-218
Schweitzer D, Kalve B, Leistritz L, Wagner M, Hammer
M: Experimental results with an wavelength-tunable laser
scanner ophthalmoscope. 6. International Meeting on Laser
Scanner Ophthalmoscopy, Tomography and Microscopy, Paris,
France Feb. 13-14, 1997
Münch C, Vilser W, Senff I: Adaptiver Algorithmus zur
automatischen Messung von Gefäßweiten. Biomed. Technik,
1995;40: 322-325
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