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dc.contributor.advisorMegalooikonomou, Vasilis
dc.contributor.advisorLing, Haibin
dc.creatorNuzhnaya, Tatyana
dc.date.accessioned2020-11-04T17:00:52Z
dc.date.available2020-11-04T17:00:52Z
dc.date.issued2015
dc.identifier.other931912256
dc.identifier.urihttp://hdl.handle.net/20.500.12613/3347
dc.description.abstractDevelopment of state-of-the-art medical imaging modalities such as Magnetic Resonance Imaging, Computed Tomography, Galactography, MR Diffusion Tensor Imaging, and Tomosynthesis plays an important role for visualization and assessment of anatomical structures. Included among these structures are structures of branching topology such as the bronchial tree in chest computed tomography images, the blood vessels in retinal images and the breast ductal network in x-ray galactograms and the tubular bone patterns in dental radiography. Analysis of such images could help reveal abnormalities, assist in estimating a risk of diseases such as breast cancer and COPD, and aid in the development of realistic anatomy phantoms. This thesis aims at the development of a set of automated methods for the analysis of anatomical structures of tree and network topology. More specifically, the two main objectives include (i) the development of analysis framework to explore the association between topology and texture patterns of anatomical branching structures and (ii) the development of the image processing methods for enhanced visualization of regions of interest in anatomical branching structures such as branching nodes.
dc.format.extent136 pages
dc.language.isoeng
dc.publisherTemple University. Libraries
dc.relation.ispartofTheses and Dissertations
dc.rightsIN COPYRIGHT- This Rights Statement can be used for an Item that is in copyright. Using this statement implies that the organization making this Item available has determined that the Item is in copyright and either is the rights-holder, has obtained permission from the rights-holder(s) to make their Work(s) available, or makes the Item available under an exception or limitation to copyright (including Fair Use) that entitles it to make the Item available.
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectComputer Science
dc.subjectArtificial Intelligence
dc.subjectMedical Imaging and Radiology
dc.subjectDetection
dc.subjectMedical Imaging
dc.subjectSegmentation
dc.subjectTexture Features
dc.subjectTopological Descriptors
dc.subjectTree-like Structures
dc.titleANALYSIS OF ANATOMICAL BRANCHING STRUCTURES
dc.typeText
dc.type.genreThesis/Dissertation
dc.contributor.committeememberMegalooikonomou, Vasilis
dc.contributor.committeememberLing, Haibin
dc.contributor.committeememberLakaemper, Rolf
dc.contributor.committeememberYang, Jie
dc.description.departmentComputer and Information Science
dc.relation.doihttp://dx.doi.org/10.34944/dspace/3329
dc.ada.noteFor Americans with Disabilities Act (ADA) accommodation, including help with reading this content, please contact scholarshare@temple.edu
dc.description.degreePh.D.
refterms.dateFOA2020-11-04T17:00:52Z


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