Optical Coherence Tomography Graphical User Interface using Labview

Alexandre Hebert, Brittany Barton, Matthew Foster, Richard Blackmon, Department of Engineering, Elon University, 50 Campus Drive, Elon, NC 27244

Optical Coherence Tomography (OCT) is an interferometer-based cross-sectional imaging method that has become common in medicine. This technique is analogous to ultrasound in that the subsurface structure of tissue is mapped using the time-delay of light waves scattered from a sample compared to those incident upon the sample. For OCT operation, laser light needs to be directed into a Michaelson interferometer, where the light beam is split between a reference arm containing a corner reflector and a sample arm where light is directed to the sample to be imaged. The light reflected from the reference arm and scattered from the sample arm are recombined in the interferometer, and recorded with a spectrometer using a 2048-pixel linescan camera. The goal of this project is to create a graphical user interface (GUI) using Labview that can 1) steer the laser beam across the tissue sample to be imaged, 2) record the light collected by the camera in the spectrometer, and 3) process the spectral images for both real-time viewing and data recording. The types of images that we want from our OCT system are: A-scan (1D scans in the z-axis), B-mode (2D scans in the x- and z-axes), M-mode (2D scans in the z-axis repeated over time), timelapse (repeated B-mode imaging over time), 3D (B-mode scans across the y-axis) and DSOCT (M-mode scans over time or across the x-axis). These scanning techniques will be used to collect images in diseased tissue for investigating disease progression and treatment, and developing new diagnostic metrics for clinical applications in pulmonary disease and oncology. Here, we present algorithms used to implement scanning protocols and in image processing. 

Additional Abstract Information

Presenter: Alex Hebert

Institution: Elon University

Type: Poster

Subject: Engineering

Status: Approved

Time and Location

Session: Poster 6
Date/Time: Tue 2:00pm-3:00pm
Session Number: 4594