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

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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.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)


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