dc.creator |
Luo, Fan |
|
dc.creator |
Evans, Jeanette W. |
|
dc.creator |
Linney, Norma C. |
|
dc.creator |
Schmidt, Matthias H. |
|
dc.creator |
Gregson, Peter H. |
|
dc.date.accessioned |
2011-02-16T14:06:31Z |
|
dc.date.available |
2011-02-16T14:06:31Z |
|
dc.date.issued |
2010 |
|
dc.identifier.issn |
1687-4188 |
|
dc.identifier.uri |
http://library2.smu.ca/xmlui/handle/01/21949 |
|
dc.description.abstract |
Hydrocephalus, characterized by increased fluid in the cerebral ventricles, is traditionally evaluated by a visual assessment of serial CT scans. The complex shape of the ventricular system makes accurate visual comparison of CT scans difficult. The current research developed a quantitative method to measure the change in cerebral ventricular volume over time. Key elements of the developed framework are: adaptive image registration based on mutual information and wavelet multiresolution analysis; adaptive segmentation with novel feature extraction based on the Dual-Tree Complex Wavelet Transform; volume calculation. The framework, when tested on physical phantoms, had an error of 2.3%. When validated on clinical cases, results showed that cases deemed to be normal/stable had a calculated volume change less than 5%. Those with progressive/treated hydrocephalus had a calculated change greater than 20%. These findings indicate that the framework is reasonable and has potential for development as a tool in the evaluation of hydrocephalus. |
|
dc.description.provenance |
Submitted by Craig Olsvik (colsvik@dal.ca) on 2011-02-16T14:06:31Z
No. of bitstreams: 1
Linney_NormaC_2010_01.pdf: 4448580 bytes, checksum: 33e4edf0018b1f21f16f5513b82fd1cc (MD5) |
en |
dc.description.provenance |
Made available in DSpace on 2011-02-16T14:06:31Z (GMT). No. of bitstreams: 1
Linney_NormaC_2010_01.pdf: 4448580 bytes, checksum: 33e4edf0018b1f21f16f5513b82fd1cc (MD5)
Previous issue date: 2010 |
en |
dc.language.iso |
en |
en_CA |
dc.publisher |
Hindawi Pub. Corp. |
en_CA |
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 |
en_CA |
dc.type |
Text |
|
dcterms.bibliographicCitation |
International Journal of Biomedical Imaging 2010, 24893. (2010) |
|