Inter Subject Registration of Functional and Anatomical Data Using SPM

Authors:
Pierre Hellier;J. Ashburner;Isabelle Corouge;Christian Barillot;K. J. Friston
Affiliations:
-;-;-;-;-
Venue:
MICCAI '02 Proceedings of the 5th International Conference on Medical Image Computing and Computer-Assisted Intervention-Part II
Year:
2002

Citing 3
Cited 2

3D Multi-Modality Medical Image Registration Using Feature Space Clustering

CVRMed '95 Proceedings of the First International Conference on Computer Vision, Virtual Reality and Robotics in Medicine
Retrospective Evaluation of Inter-subject Brain Registration

MICCAI '01 Proceedings of the 4th International Conference on Medical Image Computing and Computer-Assisted Intervention
Alignment by maximization of mutual information

ICCV '95 Proceedings of the Fifth International Conference on Computer Vision

Support vector random fields for spatial classification

PKDD'05 Proceedings of the 9th European conference on Principles and Practice of Knowledge Discovery in Databases
Evaluating similarity measures for brain image registration

Journal of Visual Communication and Image Representation

Quantified Score

Hi-index	0.00

Visualization

Abstract

This paper is concerned with inter-subject registration of anatomical and functional brain data, and extends our previouswork [7] on evaluation of inter-subject registration methods. The paper evaluates the SPM spatial normalization method [1], which is widely used by the neuroscience community. This paper also extends the previous evaluation framework to functional MEG data. The impact of three different registration methods on the registration of somatosensory MEG data is studied.We showthat the inter-subject functional variability can be reduced with inter-subject non-rigid registration methods, which is in accordance with the hypothesis that part of the inter-subject functional variability is encoded in the inter-subject anatomical variability.