id ndltd-OhioLink-oai-etd.ohiolink.edu-case1364673682
record_format oai_dc
spelling ndltd-OhioLink-oai-etd.ohiolink.edu-case13646736822021-08-03T05:21:28Z Intravascular Optical Coherence Tomography Image Analysis Wang, Zhao Biomedical Engineering Optics Information Technology coronary artery disease optical coherence tomography image analysis image processing atherosclerotic plaques stents Coronary artery disease (CAD) is the leading cause of death in the world. Most acute coronary events such as heart attacks and sudden deaths are due to the rupture of atherosclerotic plaques inside the arteries. Intravascular Optical Coherence Tomography (IVOCT), a high resolution (10-20µm) imaging modality that performs cross-sectional imaging of coronary arteries by measuring echoes of backscattered light, is rapidly becoming a promising imaging modality for diagnosis of CAD. Compared to alternative technologies such as intravascular ultrasound (IVUS), IVOCT with better resolution allows characterization of atherosclerotic plaques and evaluation of coronary stenting with unprecendented details. Currently, analysis of OCT images has been typically conducted manually in an extremely time-consuming manner. The aim of this PhD dissertation is to develop advanced image processing algorithms and software to automate the task and thereby reduce the image analysis time drastically.In this dissertation, we developed image analysis algorithms for a variety of IVOCT applications, including: (1) 3-D lumen boundary segmentation, (2) Guide wire artifact segmentation, (3) Automated calibration of IVOCT images, (4) Volumetric quantification of fibrous caps, (5) Automated segmentation of calcified plaques, (6) Automated quantification of macrophages and (7) Automated stent analysis, covering almost all the essential tasks performed in the Cardiovascular Imaging Core Laboratories (Core Lab). The algorithms we have developed have been extensively validated using a large number of data sets, and are robust to be used for real world clinical data analysis. Furthermore, we developed the prototype software OCTivat (intravascular OCT image visualization and analysis toolkit) for IVOCT image visualization and analysis, and it is being used by the interventional cardiologists in the Core Lab at the University Hospitals Case Medical Center. These image analysis methods, as well as OCTivat, can reduce the IVOCT image analysis time from tens of hours down to minutes. This may enable large clinical trial analysis and real-time feedback during clinical procedures, and may potentially improve patient care. 2013-08-19 English text Case Western Reserve University School of Graduate Studies / OhioLINK http://rave.ohiolink.edu/etdc/view?acc_num=case1364673682 http://rave.ohiolink.edu/etdc/view?acc_num=case1364673682 unrestricted This thesis or dissertation is protected by copyright: some rights reserved. It is licensed for use under a Creative Commons license. Specific terms and permissions are available from this document's record in the OhioLINK ETD Center.
collection NDLTD
language English
sources NDLTD
topic Biomedical Engineering
Optics
Information Technology
coronary artery disease
optical coherence tomography
image analysis
image processing
atherosclerotic plaques
stents
spellingShingle Biomedical Engineering
Optics
Information Technology
coronary artery disease
optical coherence tomography
image analysis
image processing
atherosclerotic plaques
stents
Wang, Zhao
Intravascular Optical Coherence Tomography Image Analysis
author Wang, Zhao
author_facet Wang, Zhao
author_sort Wang, Zhao
title Intravascular Optical Coherence Tomography Image Analysis
title_short Intravascular Optical Coherence Tomography Image Analysis
title_full Intravascular Optical Coherence Tomography Image Analysis
title_fullStr Intravascular Optical Coherence Tomography Image Analysis
title_full_unstemmed Intravascular Optical Coherence Tomography Image Analysis
title_sort intravascular optical coherence tomography image analysis
publisher Case Western Reserve University School of Graduate Studies / OhioLINK
publishDate 2013
url http://rave.ohiolink.edu/etdc/view?acc_num=case1364673682
work_keys_str_mv AT wangzhao intravascularopticalcoherencetomographyimageanalysis
_version_ 1719418599287816192