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Analysis of anatomical variability using diffeomorphic iterative centroid in patients with Alzheimer's disease
- Source :
- Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor & Francis, 2017, 5 (5), pp.350-358. 〈10.1080/21681163.2015.1035403〉, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, 2017, 5 (5), pp.350-358. ⟨10.1080/21681163.2015.1035403⟩, Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor & Francis, 2017, 5 (5), pp.350-358. ⟨10.1080/21681163.2015.1035403⟩
- Publication Year :
- 2015
- Publisher :
- Informa UK Limited, 2015.
-
Abstract
- International audience; This paper presents a new approach for template-based analysis of anatomical variability in populations,in the framework of Large Deformation Diffeomorphic Metric Mappings and mathematical currents. We propose a fast approach in which the template is computed using an diffeomorphic iterative centroid method. Statistical analysis is then performed on the initial momenta that define the deformations between the centroid and each individual subject. We applied the approach to study the variability of the hippocampus in 134 patients with Alzheimer’s disease (AD) and 160 elderly control subjects. We show that this approach can describe the main modes of variability of the two populations and can predict the performance to a memory test in AD patients.
- Subjects :
- Large deformation
[SDV.IB.IMA]Life Sciences [q-bio]/Bioengineering/Imaging
Computer science
Biomedical Engineering
Computational Mechanics
Alzheimer's Disease
Hippocampus
Diffeomorphism
030218 nuclear medicine & medical imaging
03 medical and health sciences
0302 clinical medicine
Centroid algorithm
Alzheimer's Disease Neuroimaging Initiative ADNI
Radiology, Nuclear Medicine and imaging
Statistical analysis
In patient
Memory test
[ SDV.IB.IMA ] Life Sciences [q-bio]/Bioengineering/Imaging
Shape Analysis
business.industry
Centroid
Pattern recognition
Control subjects
Computer Science Applications
[SDV.IB.IMA] Life Sciences [q-bio]/Bioengineering/Imaging
Artificial intelligence
business
LDDMM
030217 neurology & neurosurgery
Shape analysis (digital geometry)
Subjects
Details
- ISSN :
- 21681171 and 21681163
- Volume :
- 5
- Database :
- OpenAIRE
- Journal :
- Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
- Accession number :
- edsair.doi.dedup.....2f233891cf9e19e4e3ff346b091b5f17