Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/41578
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dc.contributor.authorVaradarajan Jayasudha
dc.date.accessioned2010-07-21T08:38:55Z
dc.date.available2010-07-21T08:38:55Z
dc.date.copyright2008en_US
dc.date.issued2008
dc.identifier.urihttp://hdl.handle.net/10356/41578
dc.description.abstractMany neurodegenerative disorders, psychiatric disorders, and healthy aging are frequently associated with structural changes in the brain. As the brain develops over time, the cortical surface area, thickness, curvature and total gray matter volume change. It is highly likely that such age-related surface deformations are not uniform. By measuring how such surface metrics change over time, the regions of the most rapid structural changes can be localized. These changes can cause alterations in the imaging properties of the brain tissue, as well as in morphometric properties of brain structures. The thickness of the cerebral cortex carries important information relative to aging. The MRI of the normal brain can be divided into three regions, white matter, gray matter and cerebrospinal fluid. The brain structures are anatomically defined by boundaries of these tissue classes. So it becomes important to use a method to segment the tissues into these categories. This is an important step in quantitative morphology of the brain.en_US
dc.format.extent56 p.en_US
dc.language.isoenen_US
dc.subjectDRNTU::Engineering::Mechanical engineering::Bio-mechatronicsen_US
dc.titleTheoretical bounds on the change detection in brain volume measurementsen_US
dc.typeThesis
dc.contributor.supervisorVitali Zagorodnoven_US
dc.contributor.schoolSchool of Mechanical and Aerospace Engineeringen_US
dc.description.degreeMaster of Science (Biomedical Engineering)en_US
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