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Correction of Fat-Water Swaps in Dixon MRI
(Medical Image Computing and Computer-Assisted Intervention − MICCAI 2016. Lecture Notes in Computer Science, 2016)
The Dixon method is a popular and widely used technique for fat-water separation in magnetic resonance imaging, and today, nearly all scanner manufacturers are offering a Dixon-type pulse sequence that produces scans with ...
Fast and sequence-adaptive whole-brain segmentation using parametric Bayesian modeling
(NeuroImage, 2016)
Quantitative analysis of magnetic resonance imaging (MRI) scans of the brain requires accurate automated segmentation of anatomical structures. A desirable feature for such segmentation methods is to be robust against ...
Automated Segmentation of the Human Hippocampus Along Its Longitudinal Axis
(Human Brain Mapping, 2016)
The human hippocampal formation is a crucial brain structure for memory and cognitive function that is closely related to other subcortical and cortical brain regions. Recent neuroimaging studies have revealed differences ...
Bayesian longitudinal segmentation of hippocampal substructures in brain MRI using subject-specific atlases
(NeuroImage, 2016)
The hippocampal formation is a complex, heterogeneous structure that consists of a number of distinct,
interacting subregions. Atrophy of these subregions is implied in a variety of neurodegenerative diseases,
most ...