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Point-Spread Function Assessment of SG-DBR Based Swept Source for OCT Imaging

Abstract

dc:description.abstract

<p> Swept Source Optical Coherence Tomography (SS-OCT) is a medical imaging technique that requires high repetition rate, widely-tunable coherent laser sources. Sampled grating distributed Bragg reflector (SG-DBR) lasers are proven in telecom applications and are expected to fulfill the requirements for SS-OCT at a significantly lower cost than alternative solutions.</p> <p>Constructed entirely on a semiconductor substrate, SG-DBR lasers require four synchronized waveforms to modulate the output wavelength and intensity. Because of this unique tuning mechanism, there are a number of systematic and noise sources that can affect the quality of the OCT point-spread function (PSF). Based on these noise sources, software is developed to simulate the waveforms in an SS-OCT system and determine the factors that limit width of the PSF central peak and the broadband skirts. Design curves are then created to specify the requirements to obtain a given performance. </p> <p> Next, experimental tests are performed on a JDS Uniphase C-band SG-DBR laser to assess its performance limitations. Finally, by comparing theory and experiment, recommendations are made on acceptable systematic and random noise errors induced in the PSF. </p>

Degree

thesis:*
Name thesis:degree_name
MS in Electrical Engineering
Discipline thesis:degree_discipline
Electrical Engineering
Year dc:date.available
2012

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Gilbert, David Wilkey
Contributors dc:contributor
  • Dennis Derickson

Subjects

dc:subject × 4

Identifiers

dc:identifier.*
OAI identifier oai:identifier
oai:digitalcommons.calpoly.edu:theses-1775

Chain of custody

source
Harvested from
Cal Poly
Base URL
digitalcommons.calpoly.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Gilbert, David Wilkey. Point-Spread Function Assessment of SG-DBR Based Swept Source for OCT Imaging. 2012. https://digitalcommons.calpoly.edu/theses/733