Determination of the Optical Properties of Basal Cancer Using OCT System ()
1. Introduction
Skin cancer is the most common form of cancer [1] . Nonmelanoma skin cancers, including basal cell carcinomas (BCCs) and squamous cell carcinomas (SCCs), are more common than all other types of human cancers [2] .
Basal cell carcinoma (BCC) is the most prevalent skin cancer among caucasians [3] [4] . BCCs are derived from keratinocytes [5] . The incidence of BCC continues to increase worldwide [6] . It is a multifactorial disease in which excessive sun exposure plays a major pathogenic role [7] [8] . Treatment strategy has changed in the last two decades [9] . Nowadays, a broad variety of imaging techniques are becoming available. Optical imaging, also known as optical tomography, has become an active research field [10] . Several optical imaging techniques being investigated include time resolved-optical imaging, frequency-domain optical imaging, optical coherence tomography, optoacoustic tomography and ultrasound-modulated optical (acousto-optical) tomography [11] .
Optical coherence tomography is a relatively new noninvasive [12] [13] [14] optical imaging modality for biomedical diagnosis. It is based on low coherence reflectometry which was first developed for telecommunication devices of a high precision in the range of micrometers and lateral introduce to biomedical areas as a method to map the contour and monitor the thickness of retina [15] . The use of optical techniques for diagnostic purpose relies on the capability to measure the optical properties of different tissues. In the fact, a degree of contrast must exist between absorption and scattering coefficients for effective detection of tissue alteration using optical imaging [16] .
Recently, extensions of OCT technology, including Doppler flow and polarization sensitive image, have been developed that permit spatially resolved imaging of velocity or birefringence [17] .
In ordinary diagnostic, and to understand the origins of disease, material to be examined must be excised from the body and brought to the microscope.
While OCT has potential to go inside the tissue and give us the information from the reflected light, OCT performs imaging by measuring the echo time delay and intensity of backscattered light from internal microstructure in the tissue [18] .
The advantages of OCT, as compared to other imaging methods such as CT, NMR and ultrasonic, are that there is no ionizing radiation involved, the method is non invasive, and it is high precision, and lack of need for mechanical contact between instrument and eye, high depth. Doppler imaging is capable of simultaneous imaging and real-time flow measurements [19] .
However, there is also a demand for gaining insight into functional parameters of tissue, such as the blood oxygen content. With OCT, we can diagnose small segments of tissue as opposed to most of other imaging modalities that can scan the whole organ; image can be acquired in vivo and in real time without loss of information for unknown sample structure [20] . In addition, it also precludes the need for surgical biopsies and hence avoids discomfort and bleeding of biopsies [21] .
Because the velocity of light is extremely high, the echo time delay cannot be measured directly. Instead, it is necessary to use correlation or interferometery techniques [22] .
In an OCT system the spectrum of the source is very important as it determines the maximum resolution of the image.
The general requirements of sources of OCT imaging are [23] :
1) Emission in near IR 2) Short coherence length 3) High irradiance
Since OCT has a much higher spatial resolution compared to other imaging modalities, the ability to image internal structures without the need for mechanical probing makes this technique very powerful for medical applications [24] . Its applications in ophthalmology, dermatology, endoscope, cardiology, vascular morphology, gastroterology, dentistry, and embryology have been demonstrated by several groups [25] . In this study, optical properties of basal cancer were determined by OCT system.
2. Materials and Methods
Laser source (diode 1550) nm, ≤4.25 mW, class III) constructed Michelson interferometer, detector, digital oscilloscope (150 MHz), computer, printer, CCD (LBA-100A) camera.
In this study different cancer cells samples were investigated.
First, laser light incident on the beam splitter, which reflects half of the incident light to the reference mirror which was fixed, and the other half of the incident light was transmitted to the object (the basal cancer) through the concave lens. Figure 1 shows the block diagram of the constructed system.
Then the two beams were reflected or backscattered again to the beam splitter, and interference fringes were obtained after some adjustment done by screws on the fixed mirror. This step was done for all the samples and to scan the sample depth, a micrometer screw was used.
The performed pattern was received by the detector to convert it into voltage, which was displayed on the digital oscilloscope.
Automatic calibration was used to get high accuracy for measurement. Vertical position axis was used to adjust the signal position in the screen, and to display all signals information “Math” button must be pushed, then advanced functions are displayed, and FT can be selected to allow acquired waveforms to be converted into frequency domain traces.
At the last, “Measure” button must be pressed and waveforms information are displayed.
The intensity of that signal was represented (plotted) against scanning distance; the obtained graph was used to determine penetration depth and absorption coefficient. From absorption coefficient all other optical properties can be calculated.
3. Results and Discution
The experimental results, which related to the investigation of different cancer samples, were represented in tables, figures and images. Figures 2-5 show the signal recorded by digital oscilloscope.
Figure 2 shows the tissue signal, ones in the center of the figure represent signal before FT, while the lower ones after FT. Information’s after FT are: frequency 1.111 kHz, peak 240 mv, width 0.6 ms, period 0.9 ms and SNR (backscattered power divided by the noise equivalent bandwidth of the detection) 20 dB.
Figure 3 shows the tissue signal, (a) in normal ordinate before FT, while (b) after FT. Information’s displayed on digital oscilloscope for second (BCC) sample are frequency 833.3 Hz, peak 330 mv, width 0.5 ms, period 1.2 ms and SNR 20 dB.
Figure 2. The signal recorded by digital oscilloscope for first (BCC) tissue.
(a) (b)
Figure 3. The signal recorded by digital oscilloscope for second (BCC) tissue. (a) In normal ordinate; (b) In Fourier frequency.
Figure 4 shows the tissue signal, (a) in normal ordinate before FT, while (b) after FT. Information’s displayed on digital oscilloscope for third (BCC) sample are frequency 1.25 kHz, peak 396 mv, width 0.6 ms and period 0.8 ms.
(a) (b)
Figure 4. The signal recorded by digital oscilloscope for third (BCC) tissue. (a) In normal ordinate; (b) In Fourier frequency.
Figure 5 shows the tissue signal, (a) in normal ordinate before FT, while (b) after FT. Information’s displayed on digital oscilloscope for fourth (BCC) sample are frequency 833.3 Hz, peak 268 mv, width 0.6 ms, period 1.2 ms.
From the signals recorded by digital oscilloscope for studied samples we notice:
Third tissue has the highest peak, while the first one has the lowest one. Also third tissue has a short period (0.8 ms), which lead to high frequency (Table 1).
From the above results one can see that the optical coherence tomography system (OCTS) can be used to determine the depth resolution and the transverse resolution [26] , in longitudinal direction with good performance for different tissues.
According to the above table, longitudinal resolution is higher than transverse resolution for all samples.
Third tissue has the biggest resolution (longitudinal resolution 0.5624 µm, transverse resolution 0.422 µm) and the minimum for fourth tissue.
From the variation of the intensity with distance, in order to obtain a spectral tomography of the objects [27] [28] .
Optical properties can be determined by fitting linear or logarithm function. Figures 6-9 show this variation, while Table 2 illustrates the optical properties for the samples.
There are considerable difference in the optical properties of various types of tissue and even more significant difference in the same tissue at different wavelength [10] . Figures illustrated the lowest backscattered signal for the fourth.
Table 2 shows the highest absorption coefficient for second and fourth tumors, which lead to low penetration depth.
(a) (b)
Figure 5. The signal recorded by digital oscilloscope for fourth (BCC) tissue. (a) In normal ordinate; (b) In Fourier frequency.
Figure 6. Intensity of the backscattered light as a function of the depth for the First basal cancer.
Figure 7. Intensity of the backscattered light as a function of the depth for the second basal cancer.
4. Conclusions
1) OCT can be considered as new modality in cancer diagnosing because of its safe considerations and its ability to be applied in vivo.
Figure 8. Intensity of the backscattered light as a function of the depth for the Third basal cancer.
Figure 9. Intensity of the backscattered light as a function of the depth for the Forth basal cancer.
Table 1. List the samples results calculated from Figures 2-5.
(a) (b)
Table 2. Samples optical properties.
2) (OCTS) technique can be used to get information of internal structure of the tissue, the contents of the tissue cells and its concentration.
3) The optical properties of different tissues can be determined using OCT.
5. Recommendations
Other types of optical tomography techniques can be used to estimate the most efficient one in determination of the optical properties of tissues.
Automatic scanning system can be used to perform good scanning for samples, so that the thickness information of the tissues can be gained with good accuracy.
Acknowledgements
Deep thanks to Cancer Center and National Institute of Laser Enhanced Science, Cairo University, Egypt.