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Vasilios Aris Morikis Dan DeLahunta Dr. Hyle Park, Ph.D.
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Optical Coherence Tomography ◦ An Overview of OCT System Setup ◦ Sample Arm ◦ Galvanometer Project Overview ◦ Methodology ◦ Results ◦ Conclusions
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High resolution sub-surface imaging Non-invasive ◦ Not harmful to subject Potential in many fields ◦ Ophthalmology (RNFL thickness, AMD) ◦ Dermatology (photoaging, BCC detection) ◦ Cardiology (assessment of vulnerable plaques) ◦ Gastroenterology (Barrett’s esophagus)
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Time delay between reflected light is measured to determine depth of the reflecting structure ◦ Due to the short time delays between signals OCT must use an interferometer to detect the reflected light. Interference fringes are formed when the sample and reference arms are within a small range. A depth profile is formed by the detection of the interference pattern between the reference and sample arm as the reference arm is scanned.
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The intensity of the depth profile is encoded on a logarithmic scale. A 2D cross section or even a 3D volume can made by scanning the beam across the sample.
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Helped to construct the Sample Arm.
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Built the box to power and control the Galvo Video of the Galvo moving
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Develop analysis/processing code in MATLAB Objective: Mathematically focus raw data obtained from the 1310 nanometer system. ◦ Adjust the incident angle, focal length, and the wavelength. ◦ Increase the signal to noise ratio (SNR) to produce high resolution image.
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Read the Image Flip Matrix (if necessary) Zero Padding FFTDisplay Image Interpolate
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Raw data obtained when the reference and sample arm are 600 microns apart. Image taken of the mirror. Pixel Number Intensity
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Completely unprocessed data. To create accurate image point spread function should be narrow and high (ignore all the noise in the middle). Creates a blurred black line when the actual image is formed.
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Splits the matrix and adds many 0’s in Fourier space. Doubles the size of the original graph. ◦ Used to increase the point density to interpolate more accurately. Intensity Pixel Number
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Used to find remap the data linearly in wave number (k) to improve the results of a subsequent FFT Takes the Intensity vs. Pixel number graph and Intensity vs. k.
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Fourier transform switches one complex valued function into another. ◦ Transforming k (wave number) into actual space.
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Side CameraStraight Camera Incident Angle49 degrees51 degrees Grating Spacing 1.0e-3/1145 Focal Length92 millimeters95 millimeters Wavelength1350 nanometers Pixel Width25 micrometers
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Now that the parameters are correct a much more focused image is created. ◦ Dark line at the top is thin and not blurry
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Image obtained form the 1310 nanometer system before processing (left) and after processing (right). ◦ Image width:100 microns ◦ Image height: 500 microns Very first image acquired with either system.
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I would like to thank NSF and the UC Riverside BRITE program for funding, as well as the University of California, Riverside and NIH (R00 EB007241), and Dr. Hyle Park and the rest of the Park Research Group for their guidance. Mr. Jun Wang for organizing and Dr. Victor Rodgers for directing the program.
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