Legouhy, Antoine;
(2020)
Methods for morphological longitudinal brain modeling through atlasing and registration.
Doctoral thesis (Ph.D), L'Université de Rennes 1.
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Abstract
Understanding brain development involves studying the relationship between age as one of the explanatory variables and explained variables, observations of this organ, which can take many forms. Magnetic Resonance Imaging (MRI) gives the opportunity to extract such observations in a non-invasive and non-irradiating way. This powerful technique allows notably to gain insights about the functional activity of the brain or its internal diffusivity characteristics. Yet, it is rather on the purely morphological aspects that this thesis is focused on. The approach followed the study of the brain as a mathematical object, thus enabling the analysis of its shape and growth by the means of the geometric transformations connecting those objects. In the finding of those transformations, across structures of topological interest, lies the concept of registration. This opens the door to the statistical analysis of shapes and the creation of average anatomical models called atlases.
| Type: | Thesis (Doctoral) |
|---|---|
| Qualification: | Ph.D |
| Title: | Methods for morphological longitudinal brain modeling through atlasing and registration |
| Event: | CNRS |
| Open access status: | An open access version is available from UCL Discovery |
| Publisher version: | https://tel.archives-ouvertes.fr/tel-03033021 |
| Language: | English |
| Keywords: | Atlasing, Registration, Brain development, Morphometry, MRI |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10124114 |
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