Wavelet-based image registration and segmentation framework for the quantitative evaluation of hydrocephalus

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dc.contributor.advisor Linney, Norma C.
dc.creator Luo, Fan
dc.date.accessioned 2011-05-09T12:32:50Z
dc.date.available 2011-05-09T12:32:50Z
dc.date.issued 2006
dc.identifier.other RC391 L86 2006
dc.identifier.uri http://library2.smu.ca/xmlui/handle/01/22832
dc.description xi, 100 leaves : ill. (some col.) ; 29 cm.
dc.description Includes abstract.
dc.description Includes bibliographical references (leaves 94-100).
dc.description.abstract Hydrocephalus, a condition of increased fluid in the brain, is traditionally diagnosed by a visual assessment of CT scans. This thesis developed a quantitative measure of the change in ventricular volume over time. The framework includes: adaptive registration based on mutual information and wavelet multiresolution analysis, adaptive segmentation with a novel feature extraction method based on Dual-Tree Complex Wavelet Transform (DT-CWT) coefficients, and a volume calculation. The framework, when tested on physical phantoms had volume calculation accuracy of 1.0%. When tested on 8 clinical cases, the results reflected and predicted the diagnosis of the doctors, with less than 5% calculated volume change for cases where the diagnosis indicated the patient was stable, and more than 20% calculated volume change for cases for which hydrocephalus had been diagnosed. The outcome illustrated that the framework has good potential for development as a tool to aid in the diagnosis of hydrocephalus.
dc.description.provenance Made available in DSpace on 2011-05-09T12:32:50Z (GMT). No. of bitstreams: 0 en
dc.language.iso en
dc.publisher Halifax, N.S. : Saint Mary's University
dc.subject.lcc RC391
dc.subject.lcsh Hydrocephalus -- Diagnosis
dc.subject.lcsh Brain -- Ventricles
dc.subject.lcsh Volume (Cubic content)
dc.subject.lcsh Wavelets (Mathematics)
dc.subject.lcsh Image registration
dc.title Wavelet-based image registration and segmentation framework for the quantitative evaluation of hydrocephalus
dc.type Text
thesis.degree.name Master of Science in Applied Science
thesis.degree.level Masters
thesis.degree.discipline Mathematics and Computing Science
thesis.degree.grantor Saint Mary's University (Halifax, N.S.)
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