Development of a tool for automatic segmentation of the cerebellum in MR images of children

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dc.contributor.advisorErnesta, Meintjesen_ZA
dc.contributor.authorNarayanan, Priya Lakshmien_ZA
dc.date.accessioned2016-07-08T10:42:57Z
dc.date.available2016-07-08T10:42:57Z
dc.date.issued2015en_ZA
dc.description.abstractThe human cerebellar cortex is a highly foliated structure that supports both motor and complex cognitive functions in humans. Magnetic Resonance Imaging (MRI) is commonly used to explore structural alterations in patients with psychiatric and neurological diseases. The ability to detect regional structural differences in cerebellar lobules may provide valuable insights into disease biology, progression and response to treatment, but has been hampered by the lack of appropriate tools for performing automated structural cerebellar segmentation and morphometry. In this thesis, time intensive manual tracings by an expert neuroanatomist of 16 cerebellar regions on high-resolution T1-weighted MR images of 18 children aged 9-13 years were used to generate the Cape Town Pediatric Cerebellar Atlas (CAPCA18) in the age-appropriate National Institute of Health Pediatric Database (NIHPD) asymmetric template space. An automated pipeline was developed to process the MR images and generate lobule-wise segmentations, as well as a measure of the uncertainty of the label assignments. Validation in an independent group of children with ages similar to those of the children used in the construction of the atlas, yielded spatial overlaps with manual segmentations greater than 70% in all lobules, except lobules VIIb and X. Average spatial overlap of the whole cerebellar cortex was 86%, compared to 78% using the alternative Spatially Unbiased Infra-tentorial Template (SUIT), which was developed using adult images.en_ZA
dc.identifier.apacitationNarayanan, P. L. (2015). <i>Development of a tool for automatic segmentation of the cerebellum in MR images of children</i>. (Thesis). University of Cape Town ,Faculty of Health Sciences ,Division of Biomedical Engineering. Retrieved from http://hdl.handle.net/11427/20262en_ZA
dc.identifier.chicagocitationNarayanan, Priya Lakshmi. <i>"Development of a tool for automatic segmentation of the cerebellum in MR images of children."</i> Thesis., University of Cape Town ,Faculty of Health Sciences ,Division of Biomedical Engineering, 2015. http://hdl.handle.net/11427/20262en_ZA
dc.identifier.citationNarayanan, P. 2015. Development of a tool for automatic segmentation of the cerebellum in MR images of children. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Narayanan, Priya Lakshmi AB - The human cerebellar cortex is a highly foliated structure that supports both motor and complex cognitive functions in humans. Magnetic Resonance Imaging (MRI) is commonly used to explore structural alterations in patients with psychiatric and neurological diseases. The ability to detect regional structural differences in cerebellar lobules may provide valuable insights into disease biology, progression and response to treatment, but has been hampered by the lack of appropriate tools for performing automated structural cerebellar segmentation and morphometry. In this thesis, time intensive manual tracings by an expert neuroanatomist of 16 cerebellar regions on high-resolution T1-weighted MR images of 18 children aged 9-13 years were used to generate the Cape Town Pediatric Cerebellar Atlas (CAPCA18) in the age-appropriate National Institute of Health Pediatric Database (NIHPD) asymmetric template space. An automated pipeline was developed to process the MR images and generate lobule-wise segmentations, as well as a measure of the uncertainty of the label assignments. Validation in an independent group of children with ages similar to those of the children used in the construction of the atlas, yielded spatial overlaps with manual segmentations greater than 70% in all lobules, except lobules VIIb and X. Average spatial overlap of the whole cerebellar cortex was 86%, compared to 78% using the alternative Spatially Unbiased Infra-tentorial Template (SUIT), which was developed using adult images. DA - 2015 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2015 T1 - Development of a tool for automatic segmentation of the cerebellum in MR images of children TI - Development of a tool for automatic segmentation of the cerebellum in MR images of children UR - http://hdl.handle.net/11427/20262 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/20262
dc.identifier.vancouvercitationNarayanan PL. Development of a tool for automatic segmentation of the cerebellum in MR images of children. [Thesis]. University of Cape Town ,Faculty of Health Sciences ,Division of Biomedical Engineering, 2015 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/20262en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDivision of Biomedical Engineeringen_ZA
dc.publisher.facultyFaculty of Health Sciencesen_ZA
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherBiomedical Engineeringen_ZA
dc.titleDevelopment of a tool for automatic segmentation of the cerebellum in MR images of childrenen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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