Affordable Access

Bayesian estimation of probabilistic atlas for anatomically-informed functional MRI group analyses.

Authors
  • Xu, Hao
  • Thirion, Bertrand
  • Allassonnière, Stéphanie
Type
Published Article
Journal
Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention
Publication Date
Jan 01, 2013
Volume
16
Issue
Pt 3
Pages
592–599
Identifiers
PMID: 24505810
Source
Medline
License
Unknown

Abstract

Traditional analyses of Functional Magnetic Resonance Imaging (fMRI) use little anatomical information. The registration of the images to a template is based on the individual anatomy and ignores functional information; subsequently detected activations are not confined to gray matter (GM). In this paper, we propose a statistical model to estimate a probabilistic atlas from functional and T1 MRIs that summarizes both anatomical and functional information and the geometric variability of the population. Registration and Segmentation are performed jointly along the atlas estimation and the functional activity is constrained to the GM, increasing the accuracy of the atlas.

Report this publication

Statistics

Seen <100 times