Light Properties Improvement of Light Emitting Woven Textiles with
Optical Fibres for Photodynamic Therapy
Yesim Oguz
1,2
, Cedric Cochrane
1,2
, Vladan Koncar
1,2
and Serge Mordon
1,3
1
University Lille Nord de France, F-59000 Lille, France
2
ENSAIT, GEMTEX, F-59100 Roubaix, France
3
INSERM 1189 ONCO-THAI, Lille University Hospital, CHRU, Lille, France
Keywords: Light Emitting Fabric (LEF), Plastic Optical Fibres (POF), Photodynamic Therapy (PDT), Doehlert
Experimental Design, Response Surface Method (RSM).
Abstract: For an efficient and less painful photodynamic therapy (PDT), a light emitting fabric (LEF) was woven
from plastic optical fibres (POF) aiming at the treatment of dermatologic diseases such as Actinic Keratosis
(AK). The traditional PDT treatments applied with external light sources deliver a non-uniform light
distribution on the skin surface due to the anatomical particularity of the human body (head vertex, hand,
etc.). Therefore a successful PDT obligates a homogenous and reproducible light delivery. With this
purpose, plastic optical fibres (POF) have been woven in textile in order to create macro-bendings and thus
emit out the injected light directly to the skin. To improve the light intensity and light emitting homogeneity
of the LEF, Doehlert Experimental Design is applied. Fifteen experiments performed to analyze the
response surface. Light properties of the prototypes were evaluated. The proposed models fitted well with
the experimental data and enabled the optimal set up the warp yarns tensions. This study showed that RSM
was a suitable tool to optimize the models of light diffusion properties.
1 INTRODUCTION
Photodynamic therapy (PDT) is a treatment
procedure for localized cancer or pre-cancer that
requires photosensitizer, tumour oxygenation, and
controlled light delivery to provide a treatment
efficient (Mordon et al. 2015). Actinic Keratosis, a
pre-cancerous skin disease, could be treated via PDT
with good cosmetic results.
The traditional PDT modality with external light
sources delivers a non-uniform light distribution on
the skin surface due to the irregularly shaped
cavities or surfaces of the human body (head vertex,
hand, etc.) (Mordon, Cochrane, et al. 2015;
Cochrane et al. 2011; Cochrane et al. 2013).
Therefore, a flexible medical textile was developed
for an adequate and homogenous light coverage of
the entire tumour with the aim of efficient, reliable
and less painful photodynamic therapy for AK
treatment.
In this work, a light emitting fabric (LEF) has
been woven by inserting POF in weft and Polyester
yarns in warp direction. An optimal weaving process
has been set up to predetermine macro-bendings of
the POFs, which introduce side emission of light
when the critical angle is exceeded. By modifying
the weave pattern or modifying the tension on the
warp yarns, it is possible to control the macro-
bendings of POF, so their side emitting property as a
result of weaving process.
A special pattern based on three different satin
weaves has been developed to obtain a good
homogeneity of light emission and regulate the loss
of side emitted radiation intensity along POFs.
Furthermore, Doehlert experimental design is
applied for developing a statistical model to achieve
response surfaces of the effects of the weaving
parameters on the light properties of LEF. First,
fifteen samples were produced with different
tensions on the warp beams calculated by
experimental design to find the optimal tension for a
good light distribution homogeneity and light
intensity of the LEF.
This research work aims at the investigation of
the effects of weaving process, as different warp
yarn tensions, on the light properties of the LEF. To
avoid the high number of experiments and costs with
the traditional one time method, the optimization of
148
Oguz, Y., Cochrane, C., Koncar, V. and Mordon, S.
Light Properties Improvement of Light Emitting Woven Textiles with Optical Fibres for Photodynamic Therapy.
DOI: 10.5220/0005743701460151
In Proceedings of the 4th International Conference on Photonics, Optics and Laser Technology (PHOTOPTICS 2016), pages 148-153
ISBN: 978-989-758-174-8
Copyright
c
2016 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
the model performed with the most related technic,
response surface methodology (RSM).
2 EXPERIMENTAL
2.1 Weaving Process
In this work weaving process was used to create
macrobends on the optical fibres to emit the injected
light. Optical fibres confine light in the fibre core by
its nature, but bending the optical fibre changes the
incident angle of the injected light, thus radiative
losses occur (see Figure 1). It is possible to modify
the radius of macro-bendings, so the bending losses
by changing the tension on the warp yarns even if
there are other influent factors (textile yarns, weft
and warp density, number of turns etc.) on the side-
emitting properties (Wang et al. 2013; Lee et al.
2009). Adding tension on warp yarns render them
more rigid that effects sharpness of optical fiber
macrobends.
Figure 1: Inserted POF into a textile structure with the
weaving process.
Different weaving patterns were woven to see
their light intensity decay, and then a special
repeating pattern was designed to obtain
homogeneous light emission. This specific repeating
pattern was a composition of three different satin
weaves (SW) and divided in 5 woven areas.
Different zones signify the longitudinal bands with
same weaving patterns; zone A contains the first and
the fifth woven areas, zone B contains the second
and the fourth woven areas and zone C contains the
third woven area. Figure 2 shows the weaving
system with three warp beams that supply the zone
A, B and C on the LEF.
The sample size is chosen 200mm width because
of the morphology and the overall size of the faces.
2.2 Measurement of Light Intensity
and Light Emission Homogeneity
Light intensity and light delivery homogeneity of the
LEF samples were measured with a powermeter
Figure 2: Schema of the warp beams disposition and the
designed repeating weave pattern.
(Ophir II, 638nm) while they are connected to lasers
(1W) by their two ends (Figure 3). In a dark room,
the light intensity power was measured on each cm²
by excluding the measures 0,5 cm from the borders
and 1 cm from the ends.
Figure 3: Light emitting fabrics connected to laser by two
ends.
Two mathematical formulas were used to reduce
the number of values to compare the samples among
them. The average of the power per cm², and sum of
square deviations of power per cm² divided to square
of power average were chosen for light intensity (P)
and light emission homogeneity (H), respectively. A
puissant LEF with homogenous light distribution
necessitates a great P value and an H value close to
zero.
Furthermore, to avoid the reinjection in the light
sources, low light output from the brass boxes is
requested. Otherwise reinjection can increase the
temperature of the sources and cause device damage.
It was also observed that when the LEF was
connected to the laser from one side, if the light
output from the other end (connector) was low, light
intensity of the LEF was high.
Light Properties Improvement of Light Emitting Woven Textiles with Optical Fibres for Photodynamic Therapy
149
2.3 Doehlert Experimental Design
Doehlert design was used to optimize the light
intensity and the homogeneity of the LEF woven
with optical fibres. The flexibility of the design
allows adding new points to explore more the
domain without losing quality of the model (Bezerra
et al. 2008; Fauduet et al. 2003; Lee & Hamid 2015).
The most influential factors on the responses were
chosen and studied at 3, 5 and 7 levels: A signifies
the added tension on the first zone, B for the second,
and C for the third zone (Figure 4). The critical
points (minimum, centre, maximum point) were
chosen 40, 70, 100 g/warp yarn respectively.
Figure 4: 3D view of the experimental domain. Axis A, B
and C are the coded units of the experimental factors.
The general quadratic model with n factors and an
experimental response (Y) is given below:
2
0
11
nn n
i i ij i j ii i
iij i
Yb bx bxx bx



(1)
For a process concerning three factors; Tension
of zone 1 (A), Tension of zone 2 (B) and Tension of
zone 3 (C), the model is described as:
P = p
0
+ p
1
A + p
2
B+p
3
C + p
12
AB+ p
13
AC +
p
23
BC+ p
11
A² + p
22
B² + p33C²
(2)
Where, P is predicted response for the average of
LEF’s light intensity (mW/cm²), A, B, C are
independent variables, p
0
is independent term, p1,
p
2
, p
3
are the coefficients of the linear terms, p
11
, p
22
,
p
33
are the coefficients of the squared terms and p
12
,
p
23
, p
13
are interaction terms.
The same equation is also used to find the
predicted response H for the light emission
homogeneity of the LEF, sum of squares of light
puissance deviations divided by the square of
puissance average, with the same independent
variables A, B, C.
H = h0 + h1*A + h2*B + p3*C + h12*A*B +
h13*A*C + h23*B*C + h11*A² + h22*B² +
h33*C²
(3)
3 RESULTS
First of all, fifteen flexible LEFs were produced with
the calculated tension settings in order to predict the
responses of the light intensity and the light delivery
homogeneity of the LEF. The calculated and the
experimental responses are given in the table for the
quadratic model. The experiments were performed
in random order, and the central point (0, 0, 0)
experiments were repeated three times to observe
test repeatability. Then five more samples were
calculated and produced to find the sample with
optimal results (see the values on table 1).
The only sample, which has provided the
compromise of the expected properties, was sample
15 among the twenty samples of experimental
design. The calculated results with the experimental
design were achieved with the experiments. Figure 5
shows the light diffusion per cm² for sample 15.
Figure 5: Light emission of sample 15.
Furthermore the analysis of the variance
(ANOVA) used to verify the fit of the model; p-
value must be compared to chosen significant level
(usually α=0,05). If the p-value is less than or equal
to α, it means the model terms are highly significant.
Otherwise the null hypothesis is accepted. Table 2
demonstrates the model of P has statistically
significant terms.
The following equation 4 and equation 5 were
found by applying multiple regression analysis on
the experimental data. A, B, C correspond to
independent variables of two models.
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P = 2,20 +(-0,32*A) +(0,02*B) +(0,17*C)
+(-0,05*AB) +(-0,02*AC) +(0,32*BC)
+(-0,22*A²) +(0,08* B²) +(-0,41*C²)
(4)
H = 14,45 + (8,20*A)+ (2,12*B)
+(-4,20*C)+ (-5,75*AB)+ (-3,72*AC)
+ (-1,91*BC)+ (8,01*A²)+ (1,52* B²)
+(-3,32*C²)
(5)
Table 1: Three-factors Doehlert experimental design, with the relative responses.
Predicted Results Experimental Results
Experiment A B C P H P H
1.1 0 0 0 2,15 15,61 2,11 12,74
1.2 0 0 0 2,15 15,61 2,28 19,96
1.3 0 0 0 2,15 15,61 2,06 14,12
1.4 0 0 0 2,20 14,45 2,55 13,7
2 1 0 0 1,65 30,66 1,65 31,18
3 -1 0 0 2,30 14,26 2,28 15,06
4 0,5 0,866 0 2,05 21,04 1,97 24,77
5 -0,5 -0,866 0 2,41 9,17 2,27 3,59
6 0,5 -0,866 0 2,04 22,35 1,98 21,38
7 -0,5 0,866 0 2,32 17,82 2,39 18,13
8 0,5 0,289 0,816 1,94 12,85 1,92 7,68
9 -0,5 -0,289 -0,816 2,00 10,28 1,82 13,63
10 0,5 -0,289 -0,816 1,64 23,18 1,71 23,32
11 0 0,577 -0,816 1,65 18,30 1,67 13,78
12 -0,5 0,289 0,816 2,23 9,35 2,17 8,66
13 0 -0,577 0,816 1,95 8,99 2,03 14,47
14 -1 -1 -1 2,21 3,16 2,23 5,0
15 -1 -1 -0,6 2,41 5,86 2,43 3,0
16 -1 -1 -0,7 2,37 5,29 2,44 3,8
17 -1 -1,3 -0,6 2,56 4,04 2,57 6,4
Table 2: ANOVA table for the light intensity and the light delivery homogeneity models.
Puissance (P) Homogeneity (H)
% D SS MS F- Probability D SS MS F-value Probability
Total 20 20
Constant 1 1
Total 19 1,52 19 1146,38
Regression 9 1,28 0,14 5,871 0,005* 9 957,29 106,37 5,625 0,006*
Residual 10 0,24 0,02 10 189,097 18,91
*Significant at probability value 0,05,
DF: Degrees of Freedom, SS: Sum of squares, MS: Mean Squares
Light Properties Improvement of Light Emitting Woven Textiles with Optical Fibres for Photodynamic Therapy
151
Figure 6: Response surface methodology graphics for the light diffusion models.
Response Surface Methodology (RSM) was used
to optimize the modelling for the light emission
properties of the LEF. Figure 6 presents the three-
dimensional RSM graphics for the light intensity (on
the left) and light diffusion homogeneity (on the
right) responses of the LEF.
The effects of factors were demonstrated that
optimal responses of model P and H could be
achieved if A is at its low level. As a result, when A
is fixed at its low level; the optimum compromise
result for two models is located between -0,4 and -1
(B axis), and between -0,5 and -1 (C axis), while B
is not an influent for the P model as obtained with
the sample 15.
4 CONCLUSIONS
The present study reports the application of the RSM
using the Doehlert experimental design of
experiments to develop a mathematical correlation
between the tension on the warp yarns and the light
diffusion properties of the fabric diffuser.
According to the experimental results of twenty
samples, two models were designed with Doehlert
matrix. The results proved that the optimum trial in
the domain was produced with sample 15, which
showed an average light intensity around 2,5 mW
and uniform light distribution. Furthermore, the
RSM graphs have given more information on the
optimal samples. It is certain that the tension of first
zone was expected to be at its low level (40g/warp
yarn) for the compromise result and there is an
important correlation among the tension of zone A,
B, C.
Predicted values correspond to the experimental
values of the light intensity model, with an
experimental error of the same order as that found in
the experimental design. So the model has been a
powerful tool for optimizing the light intensity of
designed fabric, but it was less suitable for
optimizing the light emission homogeneity.
This design also allowed us to find the optimal
tension settings in few experiences, which was time
consuming and inexpensive.
ACKNOWLEDGEMENTS
This work was supported by the GEMTEX
Laboratory, European Commission grant
PHOSISTOS in the Framework Programme 7, and
INSERM for the development and test of a light
emitting textile for the treatment of skin disease
actinic keratosis.
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