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Daniel deLahunta Vasilios Morikis Dr. Hyle Park. Overview of OCT  High resolution, live imaging  Subsurface features  No preparation  Used in many.

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Presentation on theme: "Daniel deLahunta Vasilios Morikis Dr. Hyle Park. Overview of OCT  High resolution, live imaging  Subsurface features  No preparation  Used in many."— Presentation transcript:

1 Daniel deLahunta Vasilios Morikis Dr. Hyle Park

2 Overview of OCT  High resolution, live imaging  Subsurface features  No preparation  Used in many fields Retinal imaging Gastrointestinal imaging Skin imaging

3 Basic Working of OCT system  Tissue sample is place under light source  Light is reflected back out  Information about the tissue structure is encoded in the reflected light  Signal gets weaker with depth  Resolution is on the order of micrometers with up to several millimeters of imaging depth

4 Ultrasound

5 Optical coherence tomography  OCT uses an interferometer to detect the much shorter time delays between light signals  Interference fringes form when the reference and sample arm lengths are equal to within the coherence length of the light source  A depth profile (A-line) is obtained by detection of the interference pattern generated by light returning from the sample and reference arms as the length of the reference arm is scanned.

6 Optical coherence tomography  The intensity of interference patterns tells the reflectivity throughout the tissue  A 2D image (or 3D volume) is formed by scanning the beam laterally across the sample.

7 Polarization-sensitive OCT  Image of knuckle

8 Summer Projects  Analyze data from previous system Determine degree of inflammation in rat nerve after crush Improve predicted value of myelin thickness  Building of two new OCT systems Set-up and calibration of reference and sample arms

9 Rat Nerve Inflammation  Images previously taken  Rat nerves were crushed and then imaged 1, 7, 14, 21, and 28 days after  Purpose was to determine degree to which the myelin regrows after injury Useful for multiple sclerosis, blunt peripheral nerve trauma  Day 1 data was unusable at the time due to large amount of inflammation

10

11 Determining Amount of Inflammation  Use ImageJ  Convert images to binary  Create new image with white background and black where nerve is  Combine the two images  Inflammation is highlighted  Determine area of inflammation and total area

12 Inflammation results 2122232425 control0.0625740.051960.05880.1233660.053075 crush site0.075850.0977160.1214220.1456420.229792

13 Initial Data  Myelin measurements from intensity sensitive system  PS-OCT Slope from polarization sensitive system

14 Incorporation of Day 1  Still large amount of scatter in data  Repeat inflammation process with other days

15 Days 7,14, 21, and 28

16 Other Options  Compared control and crush site data by dividing crush site from control  Compared control and crush site data by subtracting crush site from control

17 Building of New Systems Old 800New 800New 1310 TechniqueIntensityPolarization Center wavelength800 nm 1310 nm Depth scan rate30,000/sec144,000/sec45,000/sec Lateral resolution6.5 μm2.5 μm6 μm Vertical resolution2 μm1.5 μm3 μm

18 Contributions  Galvanometer and control box  800 nm sample arm  Calibrated reference arm for both systems

19 Acknowlegdements  Dr. Hyle Park, Shahid, Yan, Erica, Christian, and the rest of the BIONIL research group  NSF, BRITE program, and Jun Wang


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