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Title: Stereology and automated measurement of the human brain
Author: Yin, Kai-Ming
ISNI:       0000 0004 7429 4830
Awarding Body: University of Edinburgh
Current Institution: University of Edinburgh
Date of Award: 2018
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Stereology supplies image sampling rules to estimate geometric quantities such as volume, surface area, feature length and number. The method is well suited to non-invasive image acquisition methods such as Magnetic Resonance Imaging (MRI). Meanwhile, in Magnetic Resonance (MR) images analysis area, automated software packages have been continuously developed and become well-established tools especially in human brainMR images processing. The aims of the thesis are (1) to combine proper rules to sample MR images with automated or semi-automated data acquisition methods, in order to implement four different design unbiased stereological volume estimators in the study of the human brain, and (2) to compare volume estimates with those obtained from automated software packages.
Supervisor: Roberts, Neil ; Van Beek, Edwin Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID:  DOI: Not available
Keywords: stereology ; Isotropic Cavalieri ; invariator ; discretized nucleator ; Cavalieri ; magnetic resonance imaging ; fetal brain ; Alzheimer's disease ; FreeSurfer ; analyze ; ImageJ ; Easymeasure ; FSL