Year: 2009
Type: dissertation
Abstract: This thesis presents a pipeline of methods that facilitate the analysis of biomarkers on the cortex of the brain.The pipeline includes a topology-aware Laplacian thickness, a novel method for the measurement of cortical thickness which incorporates global topology information; the SAVOR framework, a novel framework for registering intra-and intersubject cortical surfaces based on topology-preserving surface projection of volumetrically aligned cortical surfaces; and a suite of established statistical tools that are well-suited for the analysis of small population, high-dimensional population studies.We present the formulation and validation of these methods and present an illustrative application of the pipeline to the study of Alzheimer's disease.iii vi research community.I want to thank all my peers for their support.
Source: Summit (Simon Fraser University)
Author: Eli Gibson
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W2097084423