Novel Ultrasound Imaging Methods for the Characterization of Tissue Microvascular Networks

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dc.contributor.advisorHoyt, Kenneth
dc.creatorOzdemir, Ipek
dc.creator.orcid0000-0001-6807-9390
dc.date.accessioned2021-12-07T22:09:44Z
dc.date.available2021-12-07T22:09:44Z
dc.date.created2021-05
dc.date.issued2021-04-27
dc.date.submittedMay 2021
dc.date.updated2021-12-07T22:09:45Z
dc.description.abstractThe structure and function of tissue microcirculation are critical in most major disease developments and in the patient-specific treatment response. Adequate quantitative characterization of tissue microvasculature may therefore assist to better understand various types of disorders, to develop new therapeutic strategies, and to monitor early response to therapy. Currently, the greatest challenge is to accurately and precisely quantify the microvascular properties in a noninvasive manner. To address this challenge, this dissertation proposes characterizing the tissue microvascular network morphology using contrast-enhanced ultrasound (CEUS). We hypothesize that the development of morphological image analysis methods using CEUS images will improve in vivo quantitative analysis of tissue microvascular networks for early treatment monitoring. This work demonstrates (1) the potential of CEUS-derived morphological features as a predictor of anti-cancer therapy response, (2) the development and use of multiparametric CEUS image analysis, and (3) the implementation of three-dimensional superresolution US visualization and quantification using advanced image analysis methods.
dc.format.mimetypeapplication/pdf
dc.identifier.urihttps://hdl.handle.net/10735.1/9285
dc.language.isoen
dc.subjectMachine learning
dc.subjectDiagnostic imaging
dc.subjectContrast-enhanced ultrasound
dc.subjectCancer
dc.subjectImage analysis
dc.titleNovel Ultrasound Imaging Methods for the Characterization of Tissue Microvascular Networks
dc.typeThesis
dc.type.materialtext
thesis.degree.departmentBiomedical Engineering
thesis.degree.grantorThe University of Texas at Dallas
thesis.degree.levelDoctoral
thesis.degree.namePHD

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