Analysis of anatomical variability using diffeomorphic iterative centroid in patients with Alzheimer's disease

Abstract : 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.
Document type :
Journal articles
Complete list of metadatas

Cited literature [17 references]  Display  Hide  Download

https://hal.inria.fr/hal-01135304
Contributor : Claire Cury <>
Submitted on : Wednesday, January 6, 2016 - 12:17:41 PM
Last modification on : Wednesday, May 15, 2019 - 3:53:32 AM
Long-term archiving on : Thursday, April 7, 2016 - 4:18:28 PM

File

CMBBE_cury_sub.pdf
Files produced by the author(s)

Identifiers

Citation

Claire Cury, Joan Glaunès, Marie Chupin, Olivier Colliot. Analysis of anatomical variability using diffeomorphic iterative centroid in patients with Alzheimer's disease. Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization, Taylor & Francis, 2017, 5 (5), pp.350 - 358. ⟨10.1080/21681163.2015.1035403⟩. ⟨hal-01135304⟩

Share

Metrics

Record views

847

Files downloads

355