Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/144242
Title: ACCURATE NONLINEAR MAPPING BETWEEN MNI152/COLIN27 VOLUMETRIC AND FREESURFER SURFACE COORDINATE SYSTEMS
Authors: WU JIANXIAO
ORCID iD:   orcid.org/0000-0002-4866-272X
Keywords: deformation, registration, MNI152, Colin27, structural MRI
Issue Date: 26-Feb-2018
Citation: WU JIANXIAO (2018-02-26). ACCURATE NONLINEAR MAPPING BETWEEN MNI152/COLIN27 VOLUMETRIC AND FREESURFER SURFACE COORDINATE SYSTEMS. ScholarBank@NUS Repository.
Abstract: The results of most neuroimaging studies are reported in volumetric or surface coordinate systems. Accurate mappings between them can facilitate many applications, such as projecting fMRI group analyses in volume to a surface space for visualisation, or projecting surface resting-state fMRI parcellations to a volumetric space for analysis of new data. However, there has been surprisingly little research on this topic. Here we evaluated three approaches for mapping data between MNI152/Colin27 volumetric and fsaverage surface coordinate systems by simulating the above applications. Two of the approaches are currently widely used. A third approach (registration fusion) was proposed a number of years ago, but has not been widely adopted. Two implementations of the registration fusion (RF) approach were considered, with one implementation utilising the Advanced Normalisation Tools (ANTs). We found that RF-ANTs performed the best, even for new subjects registered using a different software tool (FSL FNIRT).
URI: http://scholarbank.nus.edu.sg/handle/10635/144242
Appears in Collections:Master's Theses (Open)

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