Optical coherence tomography for coronary artery disease : analysis and applications

Author(s):
Liu, S.
Published
2018
Publication type
Doctoral Thesis

Abstract

The aim

of this thesis was to develop a software pipeline for tissue analysis in IVOCT

by systematically addressing different open questions for analysis. In Chapter

2, we report on a first attempt to quantify the correlation between the position of the catheter with respect to the luminal wall and the image intensities. We implemented the Depth-Resolved (DR) model for IVOCT images in Chapter 3. In addition to the attenuation coefficient, we further extended the model to estimate a backscatter term, and proposed an algorithm to exclude the noisy region. For the first time, it was implemented in IVOCT images with fast and robust calculations. Results show that the IVOCT intensity, DR attenuation coefficient and backscatter term extracted with the reported implementation are complementary to each other in characterizing six tissue types. In Chapter 4, we applied an exact histogram specification technique to covert data generated using different vendors e.g. 8-bit Terumo data and 16-bit St. Jude data. For the application of the DR algorithm, the optical parameters were analyzed as features for the maturity of post-stenting neointima in Chapter 5. In Chapter 6, the three values were analyzed for the determination of thrombi types with high reproducibility.

Intravascular OCTCoronary artery diseaseAutomated analysisAttenuationTissue analysis
Defense date
2018-09-04
Language
English
Supervisor(s)
Lelieveldt, B.P.F.
Advisor(s)
Dijkstra, J.
Committee member(s)
Leeuwen, A.G.J.M. van; Wentzel, J.J.; Quax, P.H.A.
Qualification
Ph.D.
Degree granting institution
Faculty of Medicine, Leiden University Medical Center (LUMC), Leiden University, Leiden
hdl
1887/64938
ISBN(s)
9789493019164

Funding

Sponsorship
Dutch Heart Foundation ASCI research school Library of the University of Leiden