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.) |
|