Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression

Longitudinal deformation models, spatial regularizations and learning strategies to quantify Alzheimer's disease progression

In the context of Alzheimer's disease, two challenging issues are (1) the characterization of local hippocampal shape changes specific to disease progression and (2) the identification of mild-cognitive impairment patients likely to convert. In the literature, (1) is usually solved first to det...

Full description

Bibliographic Details
Main Authors: Jean-Baptiste Fiot, Hugo Raguet, Laurent Risser, Laurent D. Cohen, Jurgen Fripp, François-Xavier Vialard
Format: Article
Language:English
Published: Elsevier 2014-01-01
Series:NeuroImage: Clinical
Subjects:
Alzheimer's disease
Brain imaging
Deformation model
LDDMM
Disease progression
Karcher mean
Transport
Logistic regression
Spatial regularization
Coefficient map
Online Access:http://www.sciencedirect.com/science/article/pii/S2213158214000205

Internet

http://www.sciencedirect.com/science/article/pii/S2213158214000205

Similar Items