Shape modeling framework for brain and facial image analysis

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Shape modeling framework for brain and facial image analysis

Please use this identifier to cite or link to this item: http://hdl.handle.net/10355/15995

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dc.contributor.advisor Duan, Ye en_US
dc.contributor.author He, Qing
dc.date.accessioned 2012-11-06T21:25:01Z
dc.date.available 2012-11-06T21:25:01Z
dc.date.issued 2011
dc.date.submitted 2011 Spring en_US
dc.identifier.other HeQ-101012-D4791
dc.identifier.uri http://hdl.handle.net/10355/15995
dc.description Title from PDF of title page (University of Missouri--Columbia, viewed on November 6, 2012). en_US
dc.description The entire dissertation/thesis text is included in the research.pdf file; the official abstract appears in the short.pdf file (which also appears in the research.pdf); a non-technical general description, or public abstract, appears in the public.pdf file. en_US
dc.description Dissertation advisor: Dr. Ye Duan en_US
dc.description Includes bibliographical references. en_US
dc.description Vita. en_US
dc.description Ph. D. University of Missouri-Columbia 2011. en_US
dc.description Dissertations, Academic -- University of Missouri--Columbia -- Biochemistry. en_US
dc.description "May 2011" en_US
dc.description.abstract The field of medical image analysis has greatly influenced the practice of neuroscience. Many studies aim to find new disease related anatomical characteristics based on the analysis of Magnetic Resonance images (MRI). Image segmentation is usually a fundamental step, in which brain structures of interest are delineated from MRI. Neuroscientists then categorize segmentations of anatomical structures by attributes such as shape, size, or location. Besides medical images, biometric images such as facial images are gaining more and more attention from clinical research because certain biometric features are also related to neurological diseases. Similar to brain morphology analysis, facial features are collected for studies testing the hypothesis that the disease alters the facial shape. Despite the rapid development of image analysis technologies, most clinical practice still relies on laborious manual. The aim of this thesis is to develop a shape modeling framework for brain and facial image analysis, for the purpose of clinical practice. Specifically, it focuses on the following three problems: (1) brain structure segmentation from MRI, where several deformable model based segmentation methods are proposed; (2) quantitative analysis of brain morphology, where methods for directly comparing 3D shapes of brain structures are proposed, and clinical applications are demonstrated; (3) facial morphology analysis, where an automatic facial feature localization method is proposed, and applied to the shape analysis of the eyes. en_US
dc.format.extent xiv, 140 pages en_US
dc.language.iso en_US en_US
dc.publisher University of Missouri--Columbia en_US
dc.subject facial feature en_US
dc.subject shape analysis en_US
dc.subject medical image analysis en_US
dc.subject brain morphology en_US
dc.title Shape modeling framework for brain and facial image analysis en_US
dc.type Thesis en_US
thesis.degree.discipline Biochemistry en_US
thesis.degree.grantor University of Missouri--Columbia en_US
thesis.degree.name Ph. D. en_US
thesis.degree.level Doctoral en_US
dc.relation.ispartofcommunity University of Missouri-Columbia. Graduate School. Theses and Dissertations. Dissertations. 2011 Dissertations
dc.relation.ispartofcollection 2011 Freely available dissertations (MU)


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