Title
A new combined surface and volume registration
Abstract
3D registration of brain MRI data is vital for many medical imaging applications. However, purely intensity-based approaches for inter-subject matching of brain structure are generally inaccurate in cortical regions, due to the highly complex network of sulci and gyri, which vary widely across subjects. Here we combine a surface-based cortical registration with a 3D fluid one for the first time, enabling precise matching of cortical folds, but allowing large deformations in the enclosed brain volume, which guarantee diffeomorphisms. This greatly improves the matching of anatomy in cortical areas. The cortices are segmented and registered with the software Freesurfer. The deformation field is initially extended to the full 3D brain volume using a 3D harmonic mapping that preserves the matching between cortical surfaces. Finally, these deformation fields are used to initialize a 3D Riemannian fluid registration algorithm, that improves the alignment of subcortical brain regions. We validate this method on an MRI dataset from 92 healthy adult twins. Results are compared to those based on volumetric registration without surface constraints; the resulting mean templates resolve consistent anatomical features both subcortically and at the cortex, suggesting that the approach is well-suited for cross-subject integration of functional and anatomic data.
Year
DOI
Venue
2010
10.1117/12.844434
Proceedings of SPIE
Keywords
DocType
Volume
brain,image analysis,Magnetic Resonance Imaging,image registration
Conference
7623
ISSN
Citations 
PageRank 
0277-786X
1
0.36
References 
Authors
0
13
Name
Order
Citations
PageRank
Natasha Lepore113415.80
Anand Joshi223523.06
Richard M Leahy31768295.29
c brun410.36
Yi-Yu Chou529022.25
Xavier Pennec65021357.08
Agatha D Lee729623.02
Marina Barysheva826922.02
Greig I. De Zubicaray949143.04
Margaret J. Wright1043639.31
Katie L. Mcmahon1137433.49
Arthur W. Toga123128261.46
Paul Thompson133860321.32